demo dataset

82589719 · Midoux Cedric · c829848f · 82589719 · 82589719 · 82589719
Commit 82589719 authored 6 years ago by Midoux Cedric
Expand all Hide whitespace changes
Inline Side-by-side

Showing

with 1026 additions and 328 deletions
+1026 -328
--- a/demo/Mach_et_al_2015.pdf
+++ b/demo/Mach_et_al_2015.pdf
--- a/demo/Morton2017.pdf
+++ b/demo/Morton2017.pdf
--- a/demo/Ravel2011.pdf
+++ b/demo/Ravel2011.pdf
--- a/demo/chaillou.biom
+++ b/demo/chaillou.biom
--- a/demo/chaillou.nwk
+++ b/demo/chaillou.nwk
+(((((((((((((otu_00520:0.016,otu_00555:0.01122):0.01094,((otu_00568:0.00301,otu_00566:0.01354):0.00617,otu_00569:0.00821):0.00998):0.00828,otu_00545:0.03879):0.02824,((otu_00527:0.02225,otu_00521:0.00934):0.0236,otu_00526:0.03119):0.01691):0.01749,(((otu_01626:0.00438,otu_01827:0.01766):0.04919,otu_01630:0.04558):0.00228,(((otu_01798:0.02312,((otu_01825:0.00592,otu_01826:0.01341):0.01757,otu_01824:0.01755):0.02979):0.01078,((otu_01097:0.05816,(otu_01100:0.0007,otu_01095:0.01485):0.00946):0.01094,otu_01091:0.00751):0.00993):0.01257,(otu_01093:0.0495,((otu_01094:0.02211,otu_01101:0.00604):0.00289,otu_01098:0.01391):0.01489):0.00311):0.01657):0.01694):0.00822,((((otu_01781:0.07375,((otu_00029:0.00599,otu_00034:0.00551):0.00331,otu_00032:0.01147):0.0211):0.00681,((((otu_01802:0.03646,otu_01451:0.01259):0.00281,otu_01447:0.01744):0.0043,(otu_01448:0.01331,otu_01461:0.00669):0.00642):0.00223,otu_01450:0.02671):0.01927):0.01694,otu_01803:0.04852):0.00908,otu_01160:0.05446):0.00152):0.02122,((((((otu_01732:0.02898,otu_00011:0.00843):0.0138,((otu_00013:0.02504,otu_00010:0.00761):0.01053,(otu_00001:0.01789,otu_00006:0.00934):0.00647):0.00236):0.00476,otu_00012:0.01634):0.00304,(otu_00005:0.0171,otu_00004:0.00949):0.00613):0.04845,(otu_01665:0.02051,((otu_01221:0.01382,(otu_01209:0.01161,(otu_01213:0.0086,otu_01680:0.0051):0.00296):0.00345):0.00594,(otu_01210:0.00898,otu_01208:0.00854):0.00705):0.00664):0.05875):0.0111,((((((((otu_01175:0.00037,otu_01205:0.00037):0.00733,otu_01177:0.00103):0.00514,otu_01203:0.00494):0.00164,(otu_01187:0.00468,otu_01204:0.00522):0.00417):0.00632,otu_01192:0.02757):0.00105,(otu_01168:0.01668,otu_01184:0.00562):0.00546):0.00363,(otu_01182:0.00687,otu_01169:0.00675):0.00702):0.0111,otu_01789:0.04424):0.04737):0.01791):0.01798,((otu_01717:0.02449,otu_01697:0.02454):0.02559,otu_01902:0.07794):0.02317):0.00756,((((otu_01408:0.02838,(otu_01386:0.02478,otu_01430:0.02239):0.01459):0.01765,otu_01420:0.03907):0.01646,(((otu_01432:0.01327,((otu_01393:0.01047,otu_01407:0.00549):0.01395,otu_01444:0.01092):0.00442):0.00164,otu_01439:0.01802):0.02663,otu_01409:0.02785):0.02817):0.0296,(((otu_00165:0.07163,((((otu_01719:0.01466,otu_01025:0.01651):0.03479,otu_01015:0.03658):0.00458,otu_01750:0.05152):0.01686,otu_01794:0.06009):0.02098):0.00622,otu_00720:0.06484):0.0045,((((((((otu_00402:0.00677,otu_00366:0.01229):0.00706,(otu_00358:0.01454,otu_00386:0.0108):0.01615):0.0171,(((otu_01734:0.0184,(otu_01671:0.0098,(otu_00398:0.00772,otu_00417:0.01189):0.00202):0.00736):0.00794,otu_00385:0.02166):0.00474,(otu_00380:0.02071,otu_00411:0.02728):0.00662):0.00582):0.01579,((otu_00391:0.04565,((otu_00396:0.0108,otu_00357:0.00287):0.0155,(otu_00418:0.03771,(otu_00403:0.0075,otu_00365:0.00427):0.01185):0.00083):0.00882):0.00486,(otu_00404:0.01127,otu_00359:0.00495):0.02628):0.01828):0.01222,otu_00360:0.04744):0.0143,((((otu_01667:0.03424,otu_00371:0.0288):0.00647,otu_00177:0.03391):0.0167,otu_00168:0.04721):0.00717,otu_00182:0.0574):0.00513):0.00481,(((((otu_01039:0.00625,otu_01040:0.00585):0.00609,otu_01034:0.01127):0.02388,(otu_01045:0.01551,otu_01041:0.01259):0.00807):0.00571,otu_01043:0.02839):0.01365,otu_01698:0.05536):0.02346):0.00506,otu_01744:0.0709):0.00627):0.01882):0.01491):0.00935,(otu_01357:0.06291,otu_01374:0.06027):0.03181):0.01807,(((((otu_01788:0.04604,(((otu_01687:0.02108,((((otu_01085:0.01064,otu_01084:0.00965):0.00842,otu_01086:0.01446):0.00865,(((otu_01075:0.01167,otu_01083:0.00179):0.00682,otu_01080:0.01188):0.00555,((otu_01082:0.01007,otu_01087:0.00981):0.00492,otu_01088:0.01164):0.00437):0.00167):0.0051,otu_01658:0.03594):0.0015):0.00329,(otu_01079:0.02363,(otu_01769:0.03961,otu_01659:0.02094):0.02058):0.00893):0.01673,otu_01723:0.04871):0.00971):0.00845,((((otu_01336:0.02832,otu_01342:0.0145):0.01241,otu_01330:0.0148):0.0136,otu_01226:0.0437):0.00446,((otu_01264:0.02109,otu_01275:0.00717):0.01533,otu_01231:0.03338):0.01204):0.01443):0.01145,((otu_01293:0.02613,otu_01257:0.01996):0.02292,(otu_01334:0.03633,otu_01222:0.04023):0.01443):0.01006):0.00614,((otu_00214:0.01754,otu_00209:0.01302):0.01167,otu_01711:0.02537):0.03997):0.00727,(((otu_01537:0.01345,otu_01515:0.02546):0.01058,otu_01782:0.02037):0.01231,otu_01528:0.036):0.04147):0.00702):0.0211,(((((((((((((((otu_00960:0.03682,otu_01005:0.00993):0.00808,(((otu_00988:0.01714,otu_00973:0.00831):0.00979,otu_00952:0.01034):0.00342,((otu_00994:0.0067,otu_00941:0.00762):0.00086,otu_00971:0.01335):0.03435):0.00201):0.00108,((otu_00999:0.02414,((otu_00966:0.00717,otu_00990:0.01527):0.00477,otu_00978:0.01401):0.00342):0.00495,(otu_01653:0.00983,otu_00989:0.01465):0.00593):0.00406):0.00382,(otu_00876:0.03493,(((otu_00903:0.03056,otu_00870:0.02315):0.00405,(otu_00917:0.00756,otu_00875:0.01281):0.00952):0.00831,(otu_00935:0.01568,(otu_00865:0.03433,(otu_00857:0.00734,otu_00919:0.00263):0.01353):0.00249):0.01687):0.00493):0.01513):0.00122,((((otu_00964:0.00926,otu_01757:0.00052):0.00581,otu_00984:0.01037):0.01243,otu_00954:0.01994):0.01088,((otu_00937:0.02094,(otu_00982:0.01158,otu_00985:0.01506):0.01731):0.00545,otu_00969:0.02073):0.0046):0.01545):0.00142,otu_01713:0.05311):0.00564,((otu_00156:0.02737,(otu_00145:0.02502,otu_00160:0.01951):0.00651):0.03397,otu_01735:0.03421):0.00338):0.00806,(((otu_01682:0.06536,otu_01833:0.08632):0.03322,otu_01775:0.05608):0.01437,otu_01657:0.05423):0.00552):0.00781,((((otu_01652:0.03452,(((((otu_00432:0.00394,otu_00482:0.02198):0.03819,otu_00479:0.0149):0.00298,((((otu_00459:0.01451,otu_01760:0.01728):0.00258,((otu_00462:0.02126,otu_00446:0.02148):0.00567,(otu_00451:0.00872,(otu_00431:0.00523,otu_00483:0.0048):0.00841):0.00685):0.0034):0.00193,(otu_00469:0.02456,otu_00485:0.0201):0.00399):0.00281,otu_00478:0.02766):0.00752):0.00709,(otu_00472:0.02833,otu_00439:0.01893):0.01661):0.0022,otu_00429:0.03011):0.00847):0.01375,(otu_00436:0.03458,(otu_00480:0.03001,otu_00449:0.0243):0.0188):0.00045):0.01258,(otu_01662:0.01444,otu_01758:0.02919):0.01491):0.00803,((otu_01747:0.05543,((otu_01153:0.03644,otu_01152:0.05055):0.00286,otu_01157:0.06225):0.00732):0.01344,(otu_01669:0.02557,otu_01765:0.01753):0.03727):0.01463):0.00759):0.0208,(otu_01706:0.0972,otu_01852:0.12589):0.01389):0.00551,(otu_00422:0.02316,otu_01766:0.02379):0.09475):0.03744,(otu_01819:0.06,(otu_01768:0.06497,((otu_01716:0.03832,otu_01793:0.0446):0.01418,((otu_01818:0.01491,otu_01822:0.01762):0.01189,otu_01853:0.04292):0.02113):0.00792):0.00542):0.12278):0.00207,(((((((((((((((otu_00583:0.0343,otu_00574:0.0273):0.01316,((((otu_00581:0.00066,otu_00591:0.00517):0.0054,otu_00582:0.01412):0.00697,(otu_00586:0.01457,((otu_00588:0.00643,otu_00589:0.02981):0.00382,otu_00585:0.00429):0.00769):0.00175):0.01969,(otu_00572:0.03898,otu_00577:0.03577):0.00393):0.00707):0.0017,((otu_01609:0.02635,(otu_01613:0.00754,otu_01612:0.006):0.02033):0.01726,(otu_01610:0.02681,otu_01611:0.03357):0.01423):0.01322):0.0189,(((((otu_00195:0.01939,(otu_00192:0.0091,otu_00193:0.00718):0.00738):0.00313,otu_00188:0.00382):0.01256,otu_01804:0.02834):0.00913,(otu_00194:0.03533,otu_00186:0.03768):0.00402):0.02013,(otu_00189:0.03073,otu_00191:0.02719):0.01132):0.0186):0.01176,(otu_00162:0.07244,otu_00833:0.06523):0.00845):0.00521,(otu_01866:0.10796,((otu_00015:0.04048,otu_01834:0.03303):0.03763,otu_00018:0.06439):0.00302):0.01725):0.00303,(((otu_01876:0.04033,otu_01673:0.01444):0.03298,otu_01656:0.04772):0.00632,otu_01864:0.07863):0.01634):0.00555,((((((otu_00825:0.01324,(otu_00826:0.02388,otu_00820:0.00176):0.00281):0.00716,otu_00823:0.00873):0.00181,(otu_00828:0.01945,(otu_00824:0.00112,otu_00821:0.00833):0.00347):0.0047):0.0784,((otu_01728:0.05153,(otu_01663:0.04086,((otu_01638:0.01309,otu_01633:0.00183):0.01097,otu_01635:0.01806):0.00404):0.01844):0.01526,otu_01832:0.0531):0.03477):0.02034,((((otu_00730:0.01275,otu_00775:0.00447):0.00544,otu_00776:0.00894):0.03963,otu_00781:0.05053):0.05305,otu_00736:0.11114):0.00464):0.00398,((((((otu_00770:0.0035,otu_00740:0.00985):0.0188,otu_00783:0.02078):0.03926,(otu_00779:0.05332,otu_00768:0.05849):0.01276):0.00152,((otu_00753:0.05809,((otu_00786:0.01019,otu_00769:0.0047):0.00696,otu_00738:0.01379):0.02655):0.01687,otu_00791:0.06758):0.00436):0.01101,otu_00724:0.06699):0.00634,((otu_00745:0.05126,otu_00732:0.05743):0.00666,otu_00789:0.06396):0.01235):0.01071):0.00727):0.00391,(otu_00024:0.09952,otu_01709:0.09082):0.00554):0.00629,((((((otu_00797:0.0363,otu_00796:0.04573):0.0114,otu_00794:0.03008):0.03134,otu_00799:0.05963):0.01624,otu_00795:0.06572):0.00324,(((((((otu_01581:0.01023,otu_01675:0.00357):0.00861,(otu_01597:0.01501,(otu_01571:0.00228,otu_01604:0.00152):0.00297):0.00556):0.00584,(otu_01593:0.01179,otu_01574:0.00951):0.00686):0.00771,otu_01579:0.03249):0.0055,otu_01641:0.02891):0.00458,(((otu_01594:0.01777,otu_01582:0.01418):0.00726,otu_01572:0.02656):0.00641,otu_01668:0.03816):0.01089):0.00933,(otu_01603:0.03571,otu_01576:0.02515):0.02127):0.01865):0.04373,(otu_01726:0.01602,otu_01748:0.00762):0.08358):0.01049):0.00847,(((((((otu_00601:0.01699,(otu_00607:0.0037,otu_00608:0.00385):0.00935):0.0069,(otu_00605:0.00836,otu_00604:0.00841):0.00605):0.02842,otu_00602:0.05721):0.03455,(otu_00721:0.02093,otu_00722:0.02139):0.04063):0.00801,(otu_01785:0.046,otu_01835:0.04376):0.02112):0.00478,(((((((otu_01550:0.01547,otu_01546:0.00826):0.00365,otu_01545:0.01439):0.00733,(((otu_01549:0.00799,otu_01679:0.01166):0.00276,otu_01556:0.00714):0.0072,(otu_01548:0.00929,otu_01547:0.01161):0.0012):0.0031):0.00483,otu_01559:0.02511):0.01701,otu_00838:0.04904):0.01257,otu_00085:0.0414):0.00463,(otu_00082:0.03699,otu_00061:0.03534):0.02012):0.01983):0.01319,((otu_01725:0.09222,otu_01751:0.08601):0.0037,(otu_01790:0.07711,otu_01724:0.07392):0.02301):0.00284):0.00476):0.01426,(((((otu_00599:0.05155,otu_01655:0.05279):0.0744,otu_00596:0.11751):0.01353,otu_00595:0.11794):0.00985,otu_00593:0.07354):0.00421,((((otu_01894:0.09189,otu_01857:0.09143):0.01897,otu_01778:0.10415):0.0298,otu_01918:0.16799):0.01295,otu_01845:0.14152):0.00892):0.00572):0.01196,otu_00713:0.09919):0.00123,((otu_01913:0.01355,otu_00333:0.0823):0.04179,otu_00343:0.11774):0.01898):0.02844,((otu_01741:0.14325,(otu_00056:0.0345,otu_01799:0.05546):0.14431):0.02928,otu_01888:0.1447):0.02133):0.00496):0.00971,(((otu_01816:0.08071,(((otu_00260:0.01147,otu_00273:0.01248):0.00939,otu_01683:0.02112):0.0311,(otu_01730:0.05755,otu_01648:0.15684):0.01826):0.00873):0.02373,(((otu_01689:0.13456,(otu_00263:0.09152,((((otu_01874:0.06378,otu_01670:0.0428):0.0068,otu_01740:0.04616):0.0366,otu_01841:0.07705):0.00698,otu_01792:0.0821):0.00919):0.01145):0.00383,otu_01699:0.1084):0.01293,((otu_01891:0.06482,(otu_01854:0.03213,otu_00276:0.0232):0.01531):0.01612,(otu_00311:0.04092,otu_00296:0.03054):0.01426):0.04308):0.00747):0.01253,((((((otu_01774:0.0527,otu_01856:0.14151):0.06415,otu_01784:0.07789):0.00658,otu_01704:0.10528):0.00571,(otu_01643:0.07551,otu_01661:0.08483):0.01819):0.01277,otu_01647:0.10236):0.01938,((otu_01691:0.04462,(otu_01873:0.04079,otu_01847:0.01842):0.03763):0.02029,((((otu_00266:0.02169,otu_01690:0.01611):0.01489,otu_00254:0.04496):0.01293,((otu_01694:0.02653,otu_00259:0.03515):0.01243,otu_00277:0.04283):0.02312):0.00671,otu_01642:0.04141):0.01368):0.04543):0.00785):0.00705):0.00221,((otu_01729:0.07778,otu_01840:0.16959):0.02066,(otu_01843:0.14678,(otu_01701:0.0793,(otu_01685:0.05153,otu_01851:0.02512):0.07589):0.09596):0.01039):0.00848):0.00536):0.01664,((((((((((((((otu_01797:0.01597,otu_00244:0.02284):0.004,otu_00238:0.01958):0.00437,((((((otu_00223:0.01402,otu_00239:0.00313):0.01603,otu_00220:0.00701):0.00496,(otu_00226:0.00823,(otu_01712:0.01395,otu_00224:0.01245):0.00683):0.00571):0.00147,otu_00228:0.00787):0.00491,otu_00249:0.00923):0.00476,otu_00227:0.01424):0.00297):0.0023,(otu_00242:0.01383,otu_00250:0.00455):0.01989):0.00582,((((otu_00221:0.00894,otu_00222:0.0168):0.01307,(otu_00232:0.01499,((otu_00231:0.01569,otu_01692:0.00857):0.00653,otu_00248:0.01851):0.01847):0.00229):0.00658,(otu_00618:0.02089,otu_00664:0.00807):0.02127):0.00232,otu_00225:0.02049):0.00664):0.0013,((otu_00241:0.02239,otu_00233:0.03402):0.00954,((otu_00624:0.01056,otu_01731:0.01293):0.0211,otu_00654:0.02685):0.00783):0.0029):0.00506,otu_01858:0.04675):0.00571,otu_00656:0.05505):0.00442,((otu_01907:0.02751,otu_00663:0.03748):0.00092,otu_01886:0.06669):0.00741):0.04582,((otu_00516:0.03359,((otu_00513:0.0343,otu_00519:0.01794):0.00153,otu_00517:0.01973):0.02221):0.01866,otu_01875:0.07702):0.02362):0.02695,((((otu_01466:0.05145,(otu_01474:0.01794,otu_01487:0.00911):0.0334):0.00486,otu_01495:0.04375):0.01322,otu_01462:0.05401):0.01842,otu_01478:0.07549):0.05464):0.00399,(otu_00632:0.09521,((((((((((otu_00667:0.02835,otu_00685:0.02178):0.00983,otu_00694:0.02702):0.00206,(((((((otu_00673:0.02333,(otu_00680:0.01197,otu_00682:0.02744):0.00743):0.00053,otu_00672:0.01776):0.00297,otu_01795:0.01829):0.00288,(otu_00687:0.02158,otu_00683:0.01217):0.00369):0.00895,otu_01911:0.04179):0.00031,otu_00670:0.02597):0.00421,(((otu_01904:0.009,otu_00679:0.01313):0.01934,otu_01651:0.02216):0.0076,otu_00695:0.03314):0.00052):0.00748):0.01542,(otu_00675:0.02248,otu_00690:0.01285):0.02356):0.00524,((otu_00678:0.02856,otu_00701:0.0301):0.01617,((((otu_00698:0.00303,otu_01863:0.07085):0.03153,otu_00676:0.0388):0.01082,otu_00693:0.03234):0.0157,otu_01837:0.04142):0.00958):0.00687):0.00261,((otu_00689:0.0277,(otu_00705:0.02361,otu_00688:0.01164):0.01593):0.0093,(otu_01849:0.03349,otu_01846:0.02737):0.02277):0.01189):0.01267,otu_01910:0.04727):0.00276,otu_01848:0.05627):0.00703,((((otu_00634:0.02464,(otu_00662:0.0099,otu_01708:0.0037):0.01494):0.00943,otu_00666:0.02124):0.00231,otu_01813:0.01952):0.01076,(otu_01791:0.01847,otu_01844:0.02138):0.00405):0.04822):0.02303,otu_01860:0.10235):0.0091):0.00963):0.00507,((otu_01119:0.09226,otu_01810:0.1042):0.00668,(((otu_00127:0.03917,otu_00133:0.06868):0.06569,otu_01838:0.11408):0.00189,((otu_01649:0.05059,otu_01674:0.04063):0.03997,otu_01148:0.05385):0.0252):0.04102):0.02444):0.01782,(((otu_01696:0.09714,(otu_01867:0.10833,otu_01645:0.09149):0.01923):0.00071,otu_01773:0.10401):0.05478,otu_01737:0.16864):0.00502):0.03525);
--- a/demo/chaillou.tsv
+++ b/demo/chaillou.tsv
+	EnvType	Description	FoodType
+BHT0.LOT01	BoeufHache	LOT1	Meat
+BHT0.LOT03	BoeufHache	LOT3	Meat
+BHT0.LOT04	BoeufHache	LOT4	Meat
+BHT0.LOT05	BoeufHache	LOT5	Meat
+BHT0.LOT06	BoeufHache	LOT6	Meat
+BHT0.LOT07	BoeufHache	LOT7	Meat
+BHT0.LOT08	BoeufHache	LOT8	Meat
+BHT0.LOT10	BoeufHache	LOT10	Meat
+VHT0.LOT01	VeauHache	LOT1	Meat
+VHT0.LOT02	VeauHache	LOT2	Meat
+VHT0.LOT03	VeauHache	LOT3	Meat
+VHT0.LOT04	VeauHache	LOT4	Meat
+VHT0.LOT06	VeauHache	LOT6	Meat
+VHT0.LOT07	VeauHache	LOT7	Meat
+VHT0.LOT08	VeauHache	LOT8	Meat
+VHT0.LOT10	VeauHache	LOT10	Meat
+DLT0.LOT01	DesLardons	LOT1	Meat
+DLT0.LOT03	DesLardons	LOT3	Meat
+DLT0.LOT04	DesLardons	LOT4	Meat
+DLT0.LOT05	DesLardons	LOT5	Meat
+DLT0.LOT06	DesLardons	LOT6	Meat
+DLT0.LOT07	DesLardons	LOT7	Meat
+DLT0.LOT08	DesLardons	LOT8	Meat
+DLT0.LOT10	DesLardons	LOT10	Meat
+MVT0.LOT01	SaucisseVolaille	LOT1	Meat
+MVT0.LOT03	SaucisseVolaille	LOT3	Meat
+MVT0.LOT05	SaucisseVolaille	LOT5	Meat
+MVT0.LOT06	SaucisseVolaille	LOT6	Meat
+MVT0.LOT07	SaucisseVolaille	LOT7	Meat
+MVT0.LOT08	SaucisseVolaille	LOT8	Meat
+MVT0.LOT09	SaucisseVolaille	LOT9	Meat
+MVT0.LOT10	SaucisseVolaille	LOT10	Meat
+CDT0.LOT02	Crevette	LOT2	Seafood
+CDT0.LOT04	Crevette	LOT4	Seafood
+CDT0.LOT05	Crevette	LOT5	Seafood
+CDT0.LOT06	Crevette	LOT6	Seafood
+CDT0.LOT07	Crevette	LOT7	Seafood
+CDT0.LOT08	Crevette	LOT8	Seafood
+CDT0.LOT09	Crevette	LOT9	Seafood
+CDT0.LOT10	Crevette	LOT10	Seafood
+SFT0.LOT01	SaumonFume	LOT1	Seafood
+SFT0.LOT02	SaumonFume	LOT2	Seafood
+SFT0.LOT03	SaumonFume	LOT3	Seafood
+SFT0.LOT04	SaumonFume	LOT4	Seafood
+SFT0.LOT05	SaumonFume	LOT5	Seafood
+SFT0.LOT06	SaumonFume	LOT6	Seafood
+SFT0.LOT07	SaumonFume	LOT7	Seafood
+SFT0.LOT08	SaumonFume	LOT8	Seafood
+FST0.LOT01	FiletSaumon	LOT1	Seafood
+FST0.LOT02	FiletSaumon	LOT2	Seafood
+FST0.LOT03	FiletSaumon	LOT3	Seafood
+FST0.LOT05	FiletSaumon	LOT5	Seafood
+FST0.LOT06	FiletSaumon	LOT6	Seafood
+FST0.LOT07	FiletSaumon	LOT7	Seafood
+FST0.LOT08	FiletSaumon	LOT8	Seafood
+FST0.LOT10	FiletSaumon	LOT10	Seafood
+FCT0.LOT01	FiletCabillaud	LOT1	Seafood
+FCT0.LOT02	FiletCabillaud	LOT2	Seafood
+FCT0.LOT03	FiletCabillaud	LOT3	Seafood
+FCT0.LOT05	FiletCabillaud	LOT5	Seafood
+FCT0.LOT06	FiletCabillaud	LOT6	Seafood
+FCT0.LOT07	FiletCabillaud	LOT7	Seafood
+FCT0.LOT08	FiletCabillaud	LOT8	Seafood
+FCT0.LOT10	FiletCabillaud	LOT10	Seafood
--- a/demo/chaillouISME2015.pdf
+++ b/demo/chaillouISME2015.pdf
--- a/demo/demo.RData
+++ b/demo/demo.RData
--- a/demo/mach.biom
+++ b/demo/mach.biom
--- a/demo/mach.nwk
+++ b/demo/mach.nwk
--- a/demo/mach.tsv
+++ b/demo/mach.tsv
+	Run	Project	Time	Bande	sex	mere	Weaned
+SF0901	3	Kinetic	D14	1105	1	17MAG101814	TRUE
+SF0931	3	Kinetic	D14	1105	2	17MAG101827	TRUE
+SF0951	3	Kinetic	D14	1105	1	17MAG101855	TRUE
+SF1011	3	Kinetic	D14	1105	2	17MAG101965	TRUE
+SF1031	3	Kinetic	D14	1105	1	17MAG102029	TRUE
+SF1831	3	Kinetic	D14	1106	1	17MAG082150	TRUE
+SF1861	3	Kinetic	D14	1106	2	17MAG082210	TRUE
+SF1871	3	Kinetic	D14	1106	1	17MAG085889	TRUE
+SF1911	3	Kinetic	D14	1106	1	17MAG103303	TRUE
+SF1931	3	Kinetic	D14	1106	2	17MAG103313	TRUE
+SF2641	3	Kinetic	D14	1110	1	17MAG094915	TRUE
+SF2671	3	Kinetic	D14	1110	1	17MAG095009	TRUE
+SF2721	3	Kinetic	D14	1110	2	17MAG103324	TRUE
+SF2741	3	Kinetic	D14	1110	2	17MAG103300	TRUE
+SF2751	3	Kinetic	D14	1110	2	17MAG103609	TRUE
+SF2801	3	Kinetic	D14	1111	2	17MAG103836	TRUE
+SF2821	3	Kinetic	D14	1111	2	17MAG103881	TRUE
+SF2881	3	Kinetic	D14	1111	1	17MAG103898	TRUE
+SF2921	3	Kinetic	D14	1111	2	17MAG104167	TRUE
+SF2941	3	Kinetic	D14	1111	1	17MAG104190	TRUE
+SF4481	3	Kinetic	D14	1112	1	17MAG104203	TRUE
+SF4491	3	Kinetic	D14	1112	1	17MAG104634	TRUE
+SF4521	3	Kinetic	D14	1112	2	17MAG105122	TRUE
+SF4541	3	Kinetic	D14	1112	2	17MAG104818	TRUE
+SF4581	3	Kinetic	D14	1112	1	17MAG105040	TRUE
+SF5181	3	Kinetic	D14	1113	1	17MAG105121	TRUE
+SF5201	3	Kinetic	D14	1113	1	17MAG104194	TRUE
+SF5231	3	Kinetic	D14	1113	1	17MAG095083	TRUE
+SF5261	3	Kinetic	D14	1113	2	17MAG103303	TRUE
+SF5271	3	Kinetic	D14	1113	2	17MAG103313	TRUE
+SF5301	3	Kinetic	D14	1113	2	17MAG105042	TRUE
+SF0902	3	Kinetic	D36	1105	1	17MAG101814	FALSE
+SF0932	3	Kinetic	D36	1105	2	17MAG101827	FALSE
+SF0952	3	Kinetic	D36	1105	1	17MAG101855	FALSE
+SF1012	3	Kinetic	D36	1105	2	17MAG101965	FALSE
+SF1032	3	Kinetic	D36	1105	1	17MAG102029	FALSE
+SF1832	3	Kinetic	D36	1106	1	17MAG082150	FALSE
+SF1862	3	Kinetic	D36	1106	2	17MAG082210	FALSE
+SF1872	3	Kinetic	D36	1106	1	17MAG085889	FALSE
+SF1912	3	Kinetic	D36	1106	1	17MAG103303	FALSE
+SF1932	3	Kinetic	D36	1106	2	17MAG103313	FALSE
+SF2642	3	Kinetic	D36	1110	1	17MAG094915	FALSE
+SF2672	3	Kinetic	D36	1110	1	17MAG095009	FALSE
+SF2722	3	Kinetic	D36	1110	2	17MAG103324	FALSE
+SF2742	3	Kinetic	D36	1110	2	17MAG103300	FALSE
+SF2752	3	Kinetic	D36	1110	2	17MAG103609	FALSE
+SF2802	3	Kinetic	D36	1111	2	17MAG103836	FALSE
+SF2822	3	Kinetic	D36	1111	2	17MAG103881	FALSE
+SF2882	3	Kinetic	D36	1111	1	17MAG103898	FALSE
+SF2922	3	Kinetic	D36	1111	2	17MAG104167	FALSE
+SF2942	3	Kinetic	D36	1111	1	17MAG104190	FALSE
+SF4482	3	Kinetic	D36	1112	1	17MAG104203	FALSE
+SF4492	3	Kinetic	D36	1112	1	17MAG104634	FALSE
+SF4522	3	Kinetic	D36	1112	2	17MAG105122	FALSE
+SF4542	3	Kinetic	D36	1112	2	17MAG104818	FALSE
+SF4582	3	Kinetic	D36	1112	1	17MAG105040	FALSE
+SF5182	3	Kinetic	D36	1113	1	17MAG105121	FALSE
+SF5202	3	Kinetic	D36	1113	1	17MAG104194	FALSE
+SF5232	3	Kinetic	D36	1113	1	17MAG095083	FALSE
+SF5262	3	Kinetic	D36	1113	2	17MAG103303	FALSE
+SF5272	3	Kinetic	D36	1113	2	17MAG103313	FALSE
+SF5302	3	Kinetic	D36	1113	2	17MAG105042	FALSE
+SF0903	3	Kinetic	D48	1105	1	17MAG101814	FALSE
+SF0933	3	Kinetic	D48	1105	2	17MAG101827	FALSE
+SF0953	3	Kinetic	D48	1105	1	17MAG101855	FALSE
+SF1013	3	Kinetic	D48	1105	2	17MAG101965	FALSE
+SF1033	3	Kinetic	D48	1105	1	17MAG102029	FALSE
+SF1833	3	Kinetic	D48	1106	1	17MAG082150	FALSE
+SF1863	3	Kinetic	D48	1106	2	17MAG082210	FALSE
+SF1873	3	Kinetic	D48	1106	1	17MAG085889	FALSE
+SF1913	3	Kinetic	D48	1106	1	17MAG103303	FALSE
+SF1933	3	Kinetic	D48	1106	2	17MAG103313	FALSE
+SF2643	3	Kinetic	D48	1110	1	17MAG094915	FALSE
+SF2673	3	Kinetic	D48	1110	1	17MAG095009	FALSE
+SF2723	3	Kinetic	D48	1110	2	17MAG103324	FALSE
+SF2743	3	Kinetic	D48	1110	2	17MAG103300	FALSE
+SF2753	3	Kinetic	D48	1110	2	17MAG103609	FALSE
+SF2803	3	Kinetic	D48	1111	2	17MAG103836	FALSE
+SF2823	3	Kinetic	D48	1111	2	17MAG103881	FALSE
+SF2883	3	Kinetic	D48	1111	1	17MAG103898	FALSE
+SF2923	3	Kinetic	D48	1111	2	17MAG104167	FALSE
+SF2943	3	Kinetic	D48	1111	1	17MAG104190	FALSE
+SF4483	3	Kinetic	D48	1112	1	17MAG104203	FALSE
+SF4493	3	Kinetic	D48	1112	1	17MAG104634	FALSE
+SF4523	3	Kinetic	D48	1112	2	17MAG105122	FALSE
+SF4543	3	Kinetic	D48	1112	2	17MAG104818	FALSE
+SF4583	3	Kinetic	D48	1112	1	17MAG105040	FALSE
+SF5183	3	Kinetic	D48	1113	1	17MAG105121	FALSE
+SF5203	3	Kinetic	D48	1113	1	17MAG104194	FALSE
+SF5233	3	Kinetic	D48	1113	1	17MAG095083	FALSE
+SF5263	3	Kinetic	D48	1113	2	17MAG103303	FALSE
+SF5273	3	Kinetic	D48	1113	2	17MAG103313	FALSE
+SF5303	3	Kinetic	D48	1113	2	17MAG105042	FALSE
+SF0904	3	Kinetic	D60	1105	1	17MAG101814	FALSE
+SF0934	3	Kinetic	D60	1105	2	17MAG101827	FALSE
+SF0954	3	Kinetic	D60	1105	1	17MAG101855	FALSE
+SF1014	3	Kinetic	D60	1105	2	17MAG101965	FALSE
+SF1034	3	Kinetic	D60	1105	1	17MAG102029	FALSE
+SF1834	3	Kinetic	D60	1106	1	17MAG082150	FALSE
+SF1864	3	Kinetic	D60	1106	2	17MAG082210	FALSE
+SF1874	3	Kinetic	D60	1106	1	17MAG085889	FALSE
+SF1914	3	Kinetic	D60	1106	1	17MAG103303	FALSE
+SF1934	3	Kinetic	D60	1106	2	17MAG103313	FALSE
+SF2644	3	Kinetic	D60	1110	1	17MAG094915	FALSE
+SF2674	3	Kinetic	D60	1110	1	17MAG095009	FALSE
+SF2724	3	Kinetic	D60	1110	2	17MAG103324	FALSE
+SF2744	3	Kinetic	D60	1110	2	17MAG103300	FALSE
+SF2754	3	Kinetic	D60	1110	2	17MAG103609	FALSE
+SF2804	3	Kinetic	D60	1111	2	17MAG103836	FALSE
+SF2824	3	Kinetic	D60	1111	2	17MAG103881	FALSE
+SF2884	3	Kinetic	D60	1111	1	17MAG103898	FALSE
+SF2924	3	Kinetic	D60	1111	2	17MAG104167	FALSE
+SF2944	3	Kinetic	D60	1111	1	17MAG104190	FALSE
+SF4484	3	Kinetic	D60	1112	1	17MAG104203	FALSE
+SF4494	3	Kinetic	D60	1112	1	17MAG104634	FALSE
+SF4524	3	Kinetic	D60	1112	2	17MAG105122	FALSE
+SF4544	3	Kinetic	D60	1112	2	17MAG104818	FALSE
+SF4584	3	Kinetic	D60	1112	1	17MAG105040	FALSE
+SF5184	3	Kinetic	D60	1113	1	17MAG105121	FALSE
+SF5204	3	Kinetic	D60	1113	1	17MAG104194	FALSE
+SF5234	3	Kinetic	D60	1113	1	17MAG095083	FALSE
+SF5264	3	Kinetic	D60	1113	2	17MAG103303	FALSE
+SF5274	3	Kinetic	D60	1113	2	17MAG103313	FALSE
+SF5304	3	Kinetic	D60	1113	2	17MAG105042	FALSE
+SF0905	3	Kinetic	D70	1105	1	17MAG101814	FALSE
+SF0935	3	Kinetic	D70	1105	2	17MAG101827	FALSE
+SF0955	3	Kinetic	D70	1105	1	17MAG101855	FALSE
+SF1015	3	Kinetic	D70	1105	2	17MAG101965	FALSE
+SF1035	3	Kinetic	D70	1105	1	17MAG102029	FALSE
+SF1835	3	Kinetic	D70	1106	1	17MAG082150	FALSE
+SF1865	3	Kinetic	D70	1106	2	17MAG082210	FALSE
+SF1875	3	Kinetic	D70	1106	1	17MAG085889	FALSE
+SF1915	3	Kinetic	D70	1106	1	17MAG103303	FALSE
+SF1935	3	Kinetic	D70	1106	2	17MAG103313	FALSE
+SF2645	3	Kinetic	D70	1110	1	17MAG094915	FALSE
+SF2675	3	Kinetic	D70	1110	1	17MAG095009	FALSE
+SF2725	3	Kinetic	D70	1110	2	17MAG103324	FALSE
+SF2745	3	Kinetic	D70	1110	2	17MAG103300	FALSE
+SF2755	3	Kinetic	D70	1110	2	17MAG103609	FALSE
+SF2805	3	Kinetic	D70	1111	2	17MAG103836	FALSE
+SF2825	3	Kinetic	D70	1111	2	17MAG103881	FALSE
+SF2885	3	Kinetic	D70	1111	1	17MAG103898	FALSE
+SF2925	3	Kinetic	D70	1111	2	17MAG104167	FALSE
+SF2945	3	Kinetic	D70	1111	1	17MAG104190	FALSE
+SF4485	3	Kinetic	D70	1112	1	17MAG104203	FALSE
+SF4495	3	Kinetic	D70	1112	1	17MAG104634	FALSE
+SF4525	3	Kinetic	D70	1112	2	17MAG105122	FALSE
+SF4545	3	Kinetic	D70	1112	2	17MAG104818	FALSE
+SF4585	3	Kinetic	D70	1112	1	17MAG105040	FALSE
+SF5185	3	Kinetic	D70	1113	1	17MAG105121	FALSE
+SF5205	3	Kinetic	D70	1113	1	17MAG104194	FALSE
+SF5235	3	Kinetic	D70	1113	1	17MAG095083	FALSE
+SF5265	3	Kinetic	D70	1113	2	17MAG103303	FALSE
+SF5275	3	Kinetic	D70	1113	2	17MAG103313	FALSE
+SF5305	3	Kinetic	D70	1113	2	17MAG105042	FALSE
--- a/demo/make-demo.R
+++ b/demo/make-demo.R
+library(phyloseq)
+
+data("GlobalPatterns")
+
+food <-
+  import_biom(
+    BIOMfilename = "chaillou.biom",
+    treefilename = "chaillou.nwk",
+    parseFunction = parse_taxonomy_greengenes
+  )
+sample_data(food) <-
+  read.table("chaillou.tsv",
+             header = TRUE,
+             row.names = 1,
+             sep = "\t")
+
+kinetic <-
+  import_biom(BIOMfilename = "mach.biom", treefilename = "mach.nwk")
+sample_data(kinetic) <-
+  read.table("mach.tsv",
+             header = TRUE,
+             row.names = 1,
+             sep = "\t")
+colnames(tax_table(kinetic)) <- c("Kingdom", "Phylum", "Class", "Order", "Family", "Genus")
+tax_table(kinetic)[grep("unknown ", tax_table(kinetic))] <- NA
+
+ravel <-
+  import_biom(BIOMfilename = "ravel.biom")
+sample_data(ravel) <-
+  read.table("ravel.tsv",
+             header = TRUE,
+             row.names = 1,
+             sep = "\t")
+colnames(tax_table(ravel)) <- c("Kingdom", "Phylum", "Class", "Order", "Family", "Genus", "Species")
+tax_table(ravel)[grep("unknown ", tax_table(ravel))] <- NA
+
+soil <-
+  import_biom(BIOMfilename = "morton.biom", treefilename = "morton.tree")
+sample_data(soil) <-
+  read.table("morton.csv",
+             header = TRUE,
+             row.names = 1,
+             sep = "\t")
+colnames(tax_table(soil)) <- c("Kingdom", "Phylum", "Class", "Order", "Family", "Genus", "Species")
+tax_table(soil)[grep("unknown ", tax_table(soil))] <- NA
+
+biorare <-
+  import_biom(BIOMfilename = "biorare.biom", treefilename = "biorare.nwk")
+sample_data(biorare) <-
+  read.table("biorare.tsv", header = TRUE, row.names = 1)
+colnames(tax_table(biorare)) <- c("Kingdom", "Phylum", "Class", "Order", "Family", "Genus", "Species")
+tax_table(biorare)[grep("unknown ", tax_table(biorare))] <- NA
+
+# cellulose <- import_biom(BIOMfilename = "cellulose.biom")
+# sample_data(cellulose) <- read.table("cellulose.tsv", header = TRUE, row.names = 1)
+
+save(GlobalPatterns, food, kinetic, soil, ravel, biorare, file = "demo.RData")
--- a/demo/morton.biom
+++ b/demo/morton.biom
--- a/demo/morton.csv
+++ b/demo/morton.csv
--- a/demo/morton.tree
+++ b/demo/morton.tree
--- a/demo/ravel.biom
+++ b/demo/ravel.biom
--- a/demo/ravel.tsv
+++ b/demo/ravel.tsv
+	Ethnic_Group	pH	Nugent_Score	Nugent_Cat	CST	Depth	RealDepth
+S001	Asian	4	0	low	I	2329	2335
+S002	White	4	0	low	II	1400	1403
+S003	Black	4	1	low	III	1378	1376
+S004	Asian	4.7	0	low	I	2273	2286
+S005	Black	5	6	intermediate	IV	1713	1705
+S006	White	4	0	low	I	1822	1817
+S007	White	4.7	1	low	II	1961	1942
+S008	White	5.8	9	high	IV	1872	1863
+S009	White	4.4	0	low	III	2142	2142
+S010	Black	4.4	1	low	I	1823	1821
+S011	White	4	0	low	III	2080	2080
+S012	White	5	10	high	IV	1598	1586
+S013	White	4.7	0	low	III	5277	5283
+S014	Black	4.4	2	low	II	5262	5262
+S015	White	4.4	0	low	I	1998	1994
+S016	White	5.8	1	low	III	2008	2002
+S017	Asian	7	5	intermediate	III	2352	2362
+S018	Black	4	0	low	I	3765	3761
+S019	Black	4	0	low	III	2001	1994
+S020	Hispanic	4	0	low	III	1799	1797
+S021	Black	4.7	1	low	II	1448	1449
+S022	White	5	1	low	V	2147	2139
+S023	Black	7	8	high	IV	3285	3284
+S024	Black	4	0	low	III	1785	1780
+S025	Black	5	10	high	IV	2586	2595
+S026	Black	4.4	0	low	I	2658	2658
+S027	Black	4	0	low	I	2294	2296
+S028	Black	5.5	4	intermediate	IV	1407	1405
+S029	White	4	0	low	I	2470	2471
+S030	Black	5.8	9	high	IV	2116	2116
+S031	Black	5	8	high	IV	1847	1837
+S032	White	4	0	low	I	2142	2143
+S033	White	4.4	0	low	III	2431	2434
+S034	Hispanic	4	0	low	I	2337	2340
+S035	Hispanic	5	1	low	IV	1978	1972
+S036	Hispanic	4.4	2	low	I	2456	2474
+S037	Hispanic	4	0	low	I	1273	1271
+S038	Hispanic	5.5	7	high	IV	1797	1791
+S039	Hispanic	5.3	8	high	IV	1738	1731
+S040	Hispanic	4.7	0	low	III	1660	1660
+S041	Hispanic	4.4	1	low	III	1365	1362
+S042	Hispanic	5.5	9	high	IV	2475	2489
+S043	Hispanic	4	1	low	V	2010	2006
+S044	Hispanic	4.4	0	low	IV	3069	3064
+S045	Hispanic	5.5	7	high	IV	1902	1887
+S046	Hispanic	4	1	low	III	2263	2262
+S047	White	5.3	10	high	III	1667	1665
+S048	Hispanic	5	9	high	IV	2033	2017
+S049	Hispanic	4.7	7	high	IV	1302	1300
+S050	Hispanic	4	1	low	III	1425	1425
+S051	Hispanic	5.5	8	high	IV	2146	2148
+S052	Hispanic	5.3	4	intermediate	II	2228	2237
+S053	Hispanic	5	8	high	IV	1682	1666
+S054	Hispanic	4.4	0	low	III	2202	2201
+S055	Hispanic	4	0	low	I	1697	1695
+S056	Hispanic	5	0	low	I	1845	1841
+S057	Hispanic	5.5	3	low	IV	1553	1548
+S058	Hispanic	4	0	low	I	1465	1468
+S059	Hispanic	4	0	low	III	2259	2265
+S060	Hispanic	4	0	low	III	1767	1762
+S061	Hispanic	4	4	intermediate	II	774	774
+S062	Hispanic	5.8	8	high	IV	1676	1667
+S063	Hispanic	5.4	7	high	II	1045	1045
+S064	Hispanic	5.4	8	high	IV	2292	2298
+S065	Hispanic	4	0	low	I	2262	2262
+S066	White	4	0	low	III	1844	1838
+S067	Asian	4	0	low	I	1585	1583
+S068	White	4	6	intermediate	III	2523	2518
+S069	White	4	3	low	I	1209	1207
+S070	Black	5	10	high	IV	1834	1825
+S071	Black	5	0	low	III	1575	1566
+S072	Black	5.5	10	high	III	1848	1835
+S073	Asian	5.3	9	high	IV	1524	1515
+S074	White	4.4	0	low	I	1742	1740
+S075	Asian	4	1	low	III	1905	1900
+S076	White	4.7	4	intermediate	II	1336	1328
+S077	Asian	4	3	low	III	1825	1822
+S078	White	4	0	low	I	1607	1604
+S079	Black	4	0	low	I	2221	2224
+S080	White	4	0	low	I	2385	2390
+S081	Asian	4	0	low	V	936	936
+S082	White	4	0	low	I	1519	1511
+S083	White	5	2	low	V	1512	1508
+S084	Black	4	0	low	I	1681	1676
+S085	Black	5.5	10	high	IV	1987	1952
+S086	White	4.7	3	low	V	1262	1261
+S087	White	4.4	0	low	I	1795	1788
+S088	White	5.3	2	low	III	2662	2668
+S089	White	5.5	0	low	I	2789	2791
+S090	White	4	2	low	IV	2390	2401
+S091	Black	4	1	low	III	2555	2556
+S092	White	4	1	low	I	1255	1254
+S093	White	5	4	intermediate	I	1715	1705
+S094	Black	4	0	low	I	2309	2310
+S095	Black	4	0	low	I	2693	2696
+S096	White	5	4	intermediate	II	1911	1906
+S097	Black	4.4	1	low	I	2979	2982
+S098	White	5	0	low	V	1017	1016
+S099	White	4.7	2	low	I	2302	2309
+S100	Black	4	0	low	I	3741	3742
+S101	White	4.4	0	low	III	2556	2558
+S102	Black	5	9	high	IV	2001	1986
+S103	Black	4	0	low	I	1955	1950
+S104	Black	5	5	intermediate	IV	2799	2807
+S105	Black	5.5	9	high	IV	2702	2704
+S106	Black	4.4	0	low	I	2931	2930
+S107	White	4	0	low	I	2681	2681
+S108	Black	4	0	low	I	2402	2404
+S109	Black	5.8	8	high	IV	2762	2764
+S110	Black	5.5	10	high	III	2103	2098
+S111	Black	4	0	low	I	3146	3144
+S112	White	4	1	low	I	693	693
+S113	White	4.4	0	low	V	2514	2517
+S114	White	5.8	8	high	IV	2689	2697
+S115	Black	4	2	low	I	2617	2625
+S116	Black	4	0	low	I	3342	3339
+S117	White	4	1	low	I	3490	3495
+S118	Black	5	1	low	II	1984	1971
+S119	Black	4	1	low	III	2073	2070
+S120	White	4	0	low	I	2428	2438
+S121	Hispanic	4.7	0	low	V	1046	1046
+S122	Black	4	0	low	I	2078	2074
+S123	Black	4.7	9	high	III	2576	2583
+S124	White	4	0	low	I	3216	3218
+S125	White	4	0	low	I	3060	3064
+S126	Hispanic	4	0	low	I	3439	3440
+S127	White	4.4	2	low	V	2820	2830
+S128	Asian	4.4	0	low	I	2340	2348
+S129	Asian	4	8	high	IV	2103	2101
+S130	Black	5	10	high	IV	3070	3073
+S131	White	5	0	low	III	2568	2571
+S132	White	4	0	low	III	2867	2870
+S133	Hispanic	5	0	low	III	2975	2983
+S134	Hispanic	5.5	8	high	IV	2620	2624
+S135	Hispanic	5	1	low	III	1935	1917
+S136	Hispanic	5	1	low	III	3792	3788
+S137	Hispanic	4.5	4	intermediate	IV	881	881
+S138	Hispanic	5.8	10	high	IV	3075	3073
+S139	Hispanic	4.4	0	low	I	2219	2230
+S140	Hispanic	5.5	9	high	IV	2460	2478
+S141	Hispanic	5.3	8	high	IV	2101	2099
+S142	Hispanic	5	1	low	III	3726	3725
+S143	Hispanic	5.5	8	high	IV	3829	3815
+S144	Hispanic	5.5	8	high	IV	1624	1619
+S145	Hispanic	5	3	low	IV	2075	2068
+S146	Hispanic	5	4	intermediate	II	2352	2356
+S147	Hispanic	7	7	high	IV	2330	2345
+S148	Hispanic	4.4	0	low	III	1877	1875
+S149	Hispanic	5.5	5	intermediate	III	2285	2283
+S150	Hispanic	5	4	intermediate	III	2964	2965
+S151	Hispanic	4.7	8	high	IV	5057	5063
+S152	Hispanic	5	4	intermediate	IV	2353	2366
+S153	Hispanic	4.4	0	low	III	2548	2552
+S154	Hispanic	4.4	5	intermediate	III	2095	2091
+S155	Hispanic	4.7	8	high	III	2958	2969
+S156	Hispanic	4.7	1	low	III	3408	3412
+S157	Hispanic	5.3	1	low	III	2099	2096
+S158	Hispanic	5.3	7	high	III	2456	2468
+S159	Hispanic	5	8	high	IV	2795	2796
+S160	Hispanic	5	0	low	IV	2308	2326
+S161	Hispanic	5.5	4	intermediate	III	2915	2917
+S162	Hispanic	5	2	low	III	3003	3003
+S163	Hispanic	5	0	low	V	3517	3515
+S164	Hispanic	4.7	0	low	III	2699	2705
+S165	Hispanic	4.4	1	low	III	2766	2764
+S166	Hispanic	4.4	0	low	III	2972	2975
+S167	Hispanic	4.4	1	low	III	3855	3854
+S168	Hispanic	4.4	0	low	I	2573	2571
+S169	Hispanic	5	5	intermediate	II	1449	1453
+S170	Hispanic	4.7	1	low	III	2801	2806
+S171	Hispanic	4.4	0	low	III	2126	2121
+S172	Hispanic	5.3	10	high	IV	2515	2511
+S173	Hispanic	4.7	1	low	V	2069	2065
+S174	Hispanic	5.8	8	high	IV	2464	2463
+S175	Hispanic	5.3	7	high	IV	5710	5713
+S176	Hispanic	4.4	6	intermediate	IV	3276	3290
+S177	Hispanic	5	7	high	IV	2016	2004
+S178	Hispanic	5.5	5	intermediate	IV	4338	4336
+S179	Hispanic	7	8	high	IV	3002	2997
+S180	Hispanic	4.4	1	low	III	2619	2622
+S181	Hispanic	4	0	low	I	2289	2297
+S182	Hispanic	4	0	low	I	2290	2297
+S183	Hispanic	4.4	5	intermediate	III	1925	1908
+S184	Hispanic	4	4	intermediate	II	2804	2810
+S185	Hispanic	5	8	high	IV	2597	2593
+S186	Hispanic	5.3	8	high	IV	2634	2636
+S187	Hispanic	4	8	high	III	3672	3668
+S188	Hispanic	5.5	10	high	IV	7361	7392
+S189	Asian	4	1	low	III	2571	2573
+S190	Hispanic	4	0	low	I	2101	2100
+S191	White	4.4	0	low	I	1837	1830
+S192	Black	5.5	8	high	IV	1822	1813
+S193	Hispanic	4	1	low	I	2013	2007
+S194	Asian	4.7	0	low	I	1858	1849
+S195	Black	5	5	intermediate	V	1803	1792
+S196	White	4	0	low	I	2026	2021
+S197	White	4	1	low	I	1868	1866
+S198	White	4	0	low	I	2229	2233
+S199	Black	5	10	high	IV	2178	2171
+S200	Black	4	1	low	III	3387	3391
+S201	Asian	4.7	0	low	I	3165	3172
+S202	Black	5.5	7	high	IV	2306	2314
+S203	White	4	1	low	III	2777	2779
+S204	Black	4	1	low	III	2410	2411
+S205	White	4	4	intermediate	III	2638	2643
+S206	White	7	6	intermediate	II	2062	2051
+S207	Black	4	1	low	I	2199	2195
+S208	White	5	7	high	III	2297	2295
+S209	Black	5.3	10	high	IV	2119	2115
+S210	White	4	0	low	I	2218	2215
+S211	White	5	3	low	II	2284	2287
+S212	Black	4	1	low	I	3633	3631
+S213	Asian	5	1	low	III	3126	3128
+S214	Black	4	0	low	III	2475	2480
+S215	White	5	7	high	III	2403	2408
+S216	White	4.4	1	low	I	2874	2882
+S217	Black	5	8	high	III	2354	2362
+S218	White	4	1	low	III	4343	4339
+S219	White	4	1	low	III	2426	2432
+S220	White	4	6	intermediate	III	2448	2457
+S221	Black	5.5	0	low	III	2132	2130
+S222	White	4	0	low	I	2481	2482
+S223	Asian	4	0	low	III	2031	2026
+S224	White	7	7	high	IV	2979	2990
+S225	White	4	3	low	I	1986	1967
+S226	White	4	0	low	I	2028	2024
+S227	Black	4	3	low	III	2159	2156
+S228	Black	5	5	intermediate	III	1891	1884
+S229	Black	5.5	10	high	IV	1703	1685
+S230	Black	4	1	low	II	1830	1820
+S231	Black	4	3	low	I	1746	1735
+S232	Asian	4	0	low	I	1673	1663
+S233	White	4	0	low	I	2002	1994
+S234	Black	4.7	0	low	III	2139	2131
+S235	Black	4.4	0	low	III	2372	2373
+S236	Asian	4.4	0	low	I	2334	2339
+S237	Black	4	0	low	III	2210	2208
+S238	Black	4	0	low	III	1892	1883
+S239	Black	5.5	10	high	IV	1563	1553
+S240	White	4	0	low	I	2177	2169
+S241	Black	4	0	low	III	2059	2058
+S242	Black	4.7	1	low	III	1862	1848
+S243	Black	5.8	9	high	IV	1736	1736
+S244	Black	5.3	10	high	IV	1829	1812
+S245	White	4.4	0	low	I	1836	1831
+S246	White	4.4	1	low	V	2267	2278
+S247	White	5	0	low	I	2814	2814
+S248	Black	4.7	4	intermediate	III	1771	1760
+S249	White	4	0	low	III	2188	2185
+S250	Asian	5.5	7	high	IV	1830	1823
+S251	Black	4.7	0	low	II	1792	1784
+S252	Black	4.7	0	low	III	1489	1494
+S253	Black	5	10	high	IV	1478	1484
+S254	Black	4	1	low	III	1589	1578
+S255	Black	5.3	8	high	IV	1870	1862
+S256	White	4	0	low	I	1774	1761
+S257	Black	5	0	low	III	1678	1675
+S258	White	4	0	low	V	1806	1795
+S259	Black	5.8	8	high	IV	1604	1598
+S260	Asian	4	0	low	III	1700	1695
+S261	Black	5.3	8	high	IV	1817	1794
+S262	White	4	0	low	I	2695	2695
+S263	Black	5.8	8	high	IV	2457	2456
+S264	White	4	0	low	I	2163	2163
+S265	Hispanic	4	1	low	III	1716	1711
+S266	Hispanic	4.4	0	low	III	2092	2088
+S267	White	4.7	3	low	III	1851	1838
+S268	Black	4.4	0	low	I	1882	1877
+S269	White	5.8	8	high	IV	2549	2544
+S270	Black	5	8	high	IV	2600	2607
+S271	White	5.5	8	high	IV	3045	3044
+S272	Asian	4.4	1	low	I	2239	2242
+S273	Asian	5	8	high	IV	2704	2703
+S274	White	4.4	0	low	III	2143	2144
+S275	Asian	4	1	low	III	2164	2160
+S276	White	5	1	low	II	3888	3892
+S277	White	4	0	low	I	2093	2090
+S278	White	4.4	5	intermediate	III	1968	1961
+S279	Black	5.5	9	high	IV	2748	2758
+S280	White	4.7	4	intermediate	IV	2627	2631
+S281	Black	4	3	low	I	2517	2516
+S282	Asian	4	3	low	III	2320	2322
+S283	Asian	4	2	low	III	2067	2065
+S284	White	4	0	low	IV	1724	1714
+S285	White	4.7	4	intermediate	II	1657	1659
+S286	Asian	5.5	4	intermediate	II	1006	1006
+S287	Asian	4	1	low	I	2043	2033
+S288	Asian	4.4	4	intermediate	V	1772	1769
+S289	Asian	5	1	low	III	2303	2302
+S290	Black	5	9	high	IV	2194	2180
+S291	White	4	0	low	I	2170	2170
+S292	Black	5.5	8	high	IV	2067	2064
+S293	White	4	0	low	III	2086	2083
+S294	White	4.4	2	low	I	2067	2060
+S295	Asian	4.7	0	low	III	2396	2400
+S296	Asian	4	4	intermediate	V	1915	1915
+S297	White	4	0	low	I	2025	2024
+S298	Asian	4	2	low	III	2297	2300
+S299	White	5	0	low	V	2224	2233
+S300	Asian	4	0	low	III	2209	2209
+S301	Asian	5.5	7	high	IV	2393	2402
+S302	Asian	4	1	low	III	2203	2203
+S303	Asian	5.3	1	low	III	2404	2405
+S304	Asian	4	0	low	I	2353	2354
+S305	Asian	5.8	3	low	IV	1568	1560
+S306	Hispanic	4	2	low	III	2281	2280
+S307	Black	5.3	6	intermediate	III	2330	2334
+S308	Black	5.5	10	high	IV	2239	2257
+S309	Hispanic	5.5	6	intermediate	II	2127	2122
+S310	Black	4.7	10	high	IV	3109	3115
+S311	Black	5.3	4	intermediate	IV	1777	1770
+S312	Black	4	0	low	I	2108	2105
+S313	Black	5.5	8	high	IV	2962	2964
+S314	Black	5	9	high	IV	2470	2483
+S315	Black	4.7	6	intermediate	IV	2116	2106
+S316	Black	4.7	7	high	IV	2358	2368
+S317	Black	4	0	low	III	1938	1923
+S318	Black	4	4	intermediate	III	2345	2344
+S319	Black	4	1	low	III	2961	2964
+S320	Black	4	0	low	III	2766	2763
+S321	Black	4.4	9	high	IV	2641	2647
+S322	Black	5	7	high	IV	2247	2252
+S323	Black	4	0	low	III	2123	2122
+S324	Asian	4.7	0	low	III	1976	1974
+S325	White	4	0	low	I	1853	1840
+S326	White	5.5	3	low	I	2479	2485
+S327	Black	5.5	10	high	IV	1691	1691
+S328	Black	5	8	high	III	2223	2221
+S329	Black	5	8	high	IV	2221	2249
+S330	Black	5.8	10	high	IV	2019	1998
+S331	Hispanic	5	8	high	IV	2454	2475
+S332	Asian	5	5	intermediate	II	2742	2750
+S333	Asian	4.4	0	low	I	2308	2313
+S334	Asian	4	2	low	III	2056	2053
+S335	Asian	4	0	low	I	2046	2043
+S336	Asian	4	0	low	I	1664	1661
+S337	Asian	5.8	5	intermediate	IV	1972	1952
+S338	Asian	4	2	low	III	2157	2156
+S339	Asian	4.4	0	low	III	2029	2026
+S340	Asian	4	0	low	I	2284	2287
+S341	Asian	4.4	0	low	V	2227	2232
+S342	Asian	4	0	low	III	2525	2527
+S343	Asian	5.5	1	low	III	1939	1928
+S344	Asian	4.7	7	high	IV	2198	2189
+S345	Asian	5.8	1	low	II	1888	1867
+S346	Asian	4.4	0	low	I	1833	1830
+S347	White	5.5	8	high	IV	1796	1784
+S348	Asian	5	6	intermediate	V	1571	1561
+S349	Asian	5.5	0	low	III	1721	1717
+S350	Asian	5	4	intermediate	IV	1468	1474
+S351	Asian	4.4	6	intermediate	III	1274	1271
+S352	Asian	5	4	intermediate	I	1814	1799
+S353	Asian	4.7	1	low	III	1826	1817
+S354	Asian	4.7	0	low	V	1963	1959
+S355	Asian	4	1	low	III	1890	1886
+S356	White	4	0	low	I	1674	1665
+S357	White	4	0	low	III	1709	1704
+S358	White	4	0	low	I	1863	1858
+S359	White	4	0	low	III	1409	1409
+S360	Asian	5.8	4	intermediate	IV	1655	1648
+S361	Asian	4	0	low	I	1986	1980
+S362	Asian	5	8	high	III	2145	2149
+S363	Asian	4	0	low	III	2329	2335
+S364	Asian	4	1	low	III	3437	3429
+S365	Asian	5	1	low	III	2459	2462
+S366	Asian	4	7	high	III	2564	2565
+S367	Asian	4.4	0	low	I	2476	2478
+S368	Asian	5.8	8	high	IV	1949	1934
+S369	Asian	5.8	4	intermediate	IV	2049	2046
+S370	Asian	4.4	7	high	IV	1244	1245
+S371	Asian	4	2	low	III	1922	1917
+S372	Asian	4.7	0	low	III	2026	2021
+S373	Asian	4.4	0	low	III	2230	2237
+S374	Asian	4	0	low	III	2257	2259
+S375	Asian	4.4	5	intermediate	II	3336	3341
+S376	Asian	4.4	0	low	I	2790	2792
+S377	Asian	4.4	0	low	I	2611	2619
+S378	Asian	4.4	3	low	V	2229	2237
+S379	Asian	4.4	0	low	II	2155	2146
+S380	Asian	4.7	8	high	IV	2181	2174
+S381	Asian	5.5	8	high	IV	2232	2240
+S382	Asian	4.7	1	low	I	1919	1913
+S383	Asian	5.8	7	high	IV	2200	2199
+S384	Asian	5.8	1	low	IV	925	925
+S385	Asian	4	2	low	III	2356	2356
+S386	Asian	4	1	low	I	2372	2375
+S387	Asian	4	3	low	I	1983	1960
+S388	Asian	5	3	low	IV	1875	1852
+S389	Asian	4.4	0	low	III	1820	1810
+S390	Asian	7	6	intermediate	III	1873	1866
+S391	Asian	4.4	0	low	III	1733	1731
+S392	Asian	4.4	0	low	IV	1969	1967
+S393	Asian	4.4	0	low	III	1685	1682
+S394	Asian	4.4	2	low	III	1728	1725
--- a/server.R
+++ b/server.R
--- a/ui.R
+++ b/ui.R
@@ -2,6 +2,23 @@ library(shinydashboard)
 shinyUI(dashboardPage(
  dashboardHeader(title = "Easy16S"),
  dashboardSidebar(
+    tags$div(
+      title = "Load data for demo",
+      selectInput(
+        "demo",
+        label = "Select demo data",
+        choices = list(
+          "Input data" = "input",
+          "Chaillou et al., 2015" = "food",
+          "Mach et al., 2015" = "kinetic",
+          "Morton et al., 2017" = "soil",
+          "Ravel et al., 2011" = "ravel"#,
+          #"biorare"
+        ),
+        selected = 1
+      )
+    ),
+    hr(width = "90%"),
    tags$div(
      title = "Fichier d'abondance au format BIOM produit avec FROGS avec 'FROGS BIOM to std BIOM'",
      fileInput(
@@ -95,7 +112,6 @@ shinyUI(dashboardPage(
        width = NULL, tabsetPanel(
          tabPanel(
            "Courbes",
-            htmlOutput("rarefaction"),
            plotOutput("richnessA", height = 700),
            uiOutput("richnessAUI")
          ),
@@ -146,7 +162,11 @@ shinyUI(dashboardPage(
        plotOutput("Heatmap", height = 700),
        uiOutput("HeatmapUI")
      ),
-      tabPanel("Analyses multivariées", plotOutput("acp", height = 700), uiOutput("acpUI")),
+      tabPanel(
+        "Analyses multivariées",
+        plotOutput("acp", height = 700),
+        uiOutput("acpUI")
+      ),
      tabPanel(
        "et plus ...",
        div(
@@ -156,4 +176,4 @@ shinyUI(dashboardPage(
      )
    )
  )
-))
\ No newline at end of file
+))