Error when ran qiime diversity core-metrics-phylogenetic

(Eman Khalaf) #1

Hi,
I clustered samples sequenced in two runs using two different primers sets, one for v3-v4 region and the second for v4 region.
Feature IDs of course are different across the two runs, but there should be sequences/taxonomy matching.
When I ran qiime diversity core-metrics-phylogenetic --i-phylogeny rooted-tree.qza --i-table table-no-unass-no-amb.qza --p-sampling-depth 3958 --m-metadata-file metadata.tsv --output-dir core-metrics-results --verbose
I got this error: (is it due to the difference in feature Ids between two sets of samples?)

/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/sklearn/utils/validation.py:595: DataConversionWarning: Data with input dtype float64 was converted to bool by check_pairwise_arrays.
  warnings.warn(msg, DataConversionWarning)
/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:152: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.005129633910842568 and the largest is 3.6010117319324184.
  RuntimeWarning
/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:152: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.05531875003259372 and the largest is 3.655811718628052.
  RuntimeWarning
Traceback (most recent call last):
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/q2_diversity/_alpha/_method.py", line 46, in alpha_phylogenetic
    tree=phylogeny)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/skbio/diversity/_driver.py", line 170, in alpha_diversity
    counts, otu_ids, tree, validate, single_sample=False)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/skbio/diversity/alpha/_faith_pd.py", line 136, in _setup_faith_pd
    _validate_otu_ids_and_tree(counts[0], otu_ids, tree)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/skbio/diversity/_util.py", line 104, in _validate_otu_ids_and_tree
    " ".join(missing_tip_names)))
skbio.tree._exception.MissingNodeError: All ``otu_ids`` must be present as tip names in ``tree``. ``otu_ids`` not corresponding to tip names (n=278): 882b5b49ef18215727a0900958cdec5d ac0c04b57f2f679831ffbcff3139371b b8a7ef73ceb8cd33b3c6f2ebde2a414b 5d7a475edc693f12e34bd4e69d8e1c67 749906e6079c81c5b2979a147e503684 74b76a7b5bfea0f7d3d6f2676d2cb7af 483ea501739bd265b9b006c94db95856 6c2c7a52cfec0ac70b57b98f1de148c4 ccdb45a55543bc05134debc67d2b8ae7 ea9648d1684621260607a7bd66bfbd18 42e868e8f2f3446c0ae296ec94b8637f fb3ba27d784c03cd97128fc7968c243c 46edd9a681a1c394007859666f76d477 eb05482931b51e9bde4744daaa17b91d 36b4ddaa8e1fe7b1a446f3b2e3ac35cc a91be9bd1cfb06843201dacd3fa33ed1 e0f50c5adf537a0a3a63e61720b38ed5 e48b4fbdd5244022c9690e61e874b291 b2aa10addd2f81752e4c4234c381e31c c31a8652dd26b703c53b5e11ccaadc27 d15bd1dcb9de71d7452648673a59f5b8 1368aca6d12ec4a9bbf16a2ff67104e1 5c203041e0a140c4759233c013a871f3 49d46d00a93443b060707ab2db8ba82d 5542288a9f0643aeb5f6906931068f38 c52332c6a9f4ea9b9ce198c74a51cc4a bb18ef0eeba40b94f68f3c6f9072aff0 0fa9b44d52836d2f173f4ac532f8a013 ede5401b0aa0e235f957b738c873d93c 21c8aea8c3a8eb2dbb403fdb684aedec 9bd6b38174be13bed4d2888dd7a8839d 6f721414019e722dc2b7b4cd06f98528 0f3d1c012afafad3f627d79744370575 854dd0a051cfa57346d12de3b24794be b2cbd62204b1e02ac7b1cb6d1a364c8d 5b6f8fbabd1b7998dbb4a567c9f07876 146195f72933e590d98b89c38d6eda33 67ff81f260a2a71f0a15a9bf0ac876d4 8067c17902fc9afed1c97e24bd1856db 0aded94cc810b9b7e4d0b2beec70afbc feb5275b1437316a03b1c62c107fe441 c23d9c4626abe211214430dea60e8505 b340a9c84c319035b3f31381d476dfe6 0acf59ecab6c7730774ecca3868face9 b5956402a24a9153484f4249effcec18 318d04dc6984a2b81f191f4f2e687520 8542857817181052b42b9b4a4fb683c8 bf83e8bf9f565aa8e2e2ec26a42995a7 ba3fd450c2351d5961a6622a4c1a93d0 1e181baaea6ea44783270cf5e6116420 3b308bd028e2c95b0ec5400964344a7f a899e513e762a0730e59290d63ec33c8 0fe1a28e2cb770ae3286baf4da1ed7e8 bb0ec1f3c4e40bab0a1450b100df57b9 1b9b82444d4d216b95032bb22ee44a93 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During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/q2cli/commands.py", line 311, in __call__
    results = action(**arguments)
  File "</home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/decorator.py:decorator-gen-384>", line 2, in core_metrics_phylogenetic
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/qiime2/sdk/action.py", line 231, in bound_callable
    output_types, provenance)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/qiime2/sdk/action.py", line 458, in _callable_executor_
    outputs = self._callable(scope.ctx, **view_args)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/q2_diversity/_core_metrics.py", line 55, in core_metrics_phylogenetic
    metric='faith_pd')
  File "</home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/decorator.py:decorator-gen-473>", line 2, in alpha_phylogenetic
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/qiime2/sdk/action.py", line 231, in bound_callable
    output_types, provenance)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/qiime2/sdk/action.py", line 365, in _callable_executor_
    output_views = self._callable(**view_args)
  File "/home/eman/anaconda3/envs/qiime2-2019.4/lib/python3.6/site-packages/q2_diversity/_alpha/_method.py", line 50, in alpha_phylogenetic
    raise skbio.tree.MissingNodeError(message)
skbio.tree._exception.MissingNodeError: All ``feature_ids`` must be present as tip names in ``phylogeny``. ``feature_ids`` not corresponding to tip names (n=278): 882b5b49ef18215727a0900958cdec5d ac0c04b57f2f679831ffbcff3139371b b8a7ef73ceb8cd33b3c6f2ebde2a414b 5d7a475edc693f12e34bd4e69d8e1c67 749906e6079c81c5b2979a147e503684 74b76a7b5bfea0f7d3d6f2676d2cb7af 483ea501739bd265b9b006c94db95856 6c2c7a52cfec0ac70b57b98f1de148c4 ccdb45a55543bc05134debc67d2b8ae7 ea9648d1684621260607a7bd66bfbd18 42e868e8f2f3446c0ae296ec94b8637f fb3ba27d784c03cd97128fc7968c243c 46edd9a681a1c394007859666f76d477 eb05482931b51e9bde4744daaa17b91d 36b4ddaa8e1fe7b1a446f3b2e3ac35cc a91be9bd1cfb06843201dacd3fa33ed1 e0f50c5adf537a0a3a63e61720b38ed5 e48b4fbdd5244022c9690e61e874b291 b2aa10addd2f81752e4c4234c381e31c c31a8652dd26b703c53b5e11ccaadc27 d15bd1dcb9de71d7452648673a59f5b8 1368aca6d12ec4a9bbf16a2ff67104e1 5c203041e0a140c4759233c013a871f3 49d46d00a93443b060707ab2db8ba82d 5542288a9f0643aeb5f6906931068f38 c52332c6a9f4ea9b9ce198c74a51cc4a bb18ef0eeba40b94f68f3c6f9072aff0 0fa9b44d52836d2f173f4ac532f8a013 ede5401b0aa0e235f957b738c873d93c 21c8aea8c3a8eb2dbb403fdb684aedec 9bd6b38174be13bed4d2888dd7a8839d 6f721414019e722dc2b7b4cd06f98528 0f3d1c012afafad3f627d79744370575 854dd0a051cfa57346d12de3b24794be b2cbd62204b1e02ac7b1cb6d1a364c8d 5b6f8fbabd1b7998dbb4a567c9f07876 146195f72933e590d98b89c38d6eda33 67ff81f260a2a71f0a15a9bf0ac876d4 8067c17902fc9afed1c97e24bd1856db 0aded94cc810b9b7e4d0b2beec70afbc feb5275b1437316a03b1c62c107fe441 c23d9c4626abe211214430dea60e8505 b340a9c84c319035b3f31381d476dfe6 0acf59ecab6c7730774ecca3868face9 b5956402a24a9153484f4249effcec18 318d04dc6984a2b81f191f4f2e687520 8542857817181052b42b9b4a4fb683c8 bf83e8bf9f565aa8e2e2ec26a42995a7 ba3fd450c2351d5961a6622a4c1a93d0 1e181baaea6ea44783270cf5e6116420 3b308bd028e2c95b0ec5400964344a7f a899e513e762a0730e59290d63ec33c8 0fe1a28e2cb770ae3286baf4da1ed7e8 bb0ec1f3c4e40bab0a1450b100df57b9 1b9b82444d4d216b95032bb22ee44a93 6b94959874b693c3304e68c57cefd287 bc56a7361c9a3b49f1f1c51874321e12 94b19792e895c563fa40bb9a9e946539 96536c137cc245cdb18aa943e30eba06 5a984eb2d8dfdc9d6cc0e33133401cdf 5ccff1b72ae14966c3599f5f11361535 33295f1846cff2bf9c88e15798fbc91d d6cc22893c83750b9aac5cd1ed5e3c13 fe7b5b769375b837bb6d4bfa6dee234f 4d2e6b96b5f012a1a5f586058b02fe34 36ecd054f5309a9658926a0926d7ee82 56471aeb4b14e9483ab69ce54600abe7 0bc6a028f5f39152b3e43af7364319d5 0e4f783a6e96678c76d555ad00a02667 6d46c67d73e2190456096c74f166e732 02923e4758d2e80f3d738564f00100fb 3260e1639426e280b4de013a957a30c1 bdad4802469ce9f2d6e918ac34386aca 2a39f0b75d31d00b3136b2edbe82962e 5ca202c7551711115169a9d2da75b41c e1102fef6bf74d13ffd080ce240de02b d6238aa9ebdf577a4301ae5e50962fbf 35818065c0bbb0a2787bb17d338a68aa 166a00ba202059a6da6bbf6735a69036 5de27febf2c3146c05611c279e97767b cb4e5a3ff798d1b99d93f23dae1d3b60 e4957ffed39cf5a7325a8b44331ba9cc 30408c65c99dc72a31e531c0e25582e4 156b80efb2f7f864ef75f6e86fc855b7 3fb11383d86dfad2dfd111339161741f d66166cf729291750c1e1877c02cb7e4 d5b1c8dc6ab396c460ea9b931028014f 2d77cf80c9b03b82ce7ed6eacfa04e12 8439018c703935d3cb4c4732d7c8e951 c52af1e179a7c887df206309976c336f b1a818c86200a2e93fd0e03a512b3fdb 5b2529faa44a3679b887ecd91b6b4149 c92aceb7dcce5a6d2b92dfa1ebabd4b8 a814e18dc6c018749b8c0e8f314a63aa 3511e8ff724e19cd60790efe81b90dd3 1cb29f361033ce208d7efc9e2aa80ee0 d63e3ee111f0d41a61942a4d040b4d1a 414d5a577ea97dae1692e05116fa9a17 a22784da8d04270a1719f3b061c26bb4 aebeea5520b97db85c9427548e8eb800 fd2eb1fe2266eed160a855f715f7c77e e3e7eb7e41dd0e82763088988140aa00 6eeab3fb5a99cca2f0a584047433a90b 2ba18f04bcc75fa255975f235d71dd5a 42b68f331b96c84671f16f0cb468b229 9f3fa14c6bc7f7f5083412622e9a0be6 50997d1e6c398e7abaceb666004a2456 bc3a5189da47b255e1cf05f6f2a86e1e 84955fae753b0bdde3b612c29f9110ba 0f96a9e308bf51dd1f696f4961e3eb1b 6baf2df30d6b8a179830b900d7a1047d 354a08c393183104bb5c02c51f87efe6 26c35a7f1d51ff8a47651ff85e8614fe 0ce26e0449c85aa24703f5d3b206d643 497a26126c9e726c768bdec79e8c4e9b d1d76f39fe6846e31264bff2ca855156 8f7c737007cfbed8b5ea17503e45422c 685a1812a6e46f72d7cf1f4a060b8e96 c4848a80faa3e9b6a823d2b442b23b39 e87d44091207f41f1dbce5165577a959 cbe0cf6479977d4c437b79eb5506c0ca 2a0a6367f794e66b396ec215ba393fc7 886813d6c66ef41ef648c9b92ffde619 c9f9355d32e264f6bc060415332587bb 75ea2daf1a41ca52cecdd1e27b663173 1f0e2948e4aff42d6e2343389073fadc 9f775e92b88a1437af90dc4a544e7a5f 4e0481f68111cd3463386f70247922bb 8419fdeda9aeba8d0e9e58d6819234c3 043ab5c1743a9c835c41dea8a8511d0d 0f75fe8fa3d2cec01712b7343c369442 913c6648098d2a8375b3138ece9e3e80 162dcb3929e23b071e65fda88174be74 0457643b758d54cc369eb3f1f4196454 fa1e189008c366a28f6d80d3e2714106 0afb47713544653221f52cfb1f390863 7c7c7761ed1d350dd250d3bf1f131073 66021af4598b2efe0c19c51206ba2fb8 1b874e38cee423f00e878d2bda3a818e 750ba0e2bb9fe55d1cbb3b4eaadc1981 55add063029778ac383c8a6a892e3f9d ecea26692ad23d6aac545b2c19da9288 a3673362dfa7a155f91d8b2a06c37780 5bdcbc747a6d2f8b6a26fa1d0bb555b0 0c0dccc9621a59b6d8a92b3d540e3597 dd4238e58d0425ebe8533bc7375666ac 5e814148a3b624cf4fedfcbe6b574282 99f924986762d3ebcc9364c900548878 52b7819ce4e65d832c9c187e97662fef cb0de3f92a0bb309ddd28a9aef2488af 00fb04e5146dad4d738febc6288e1ab3 40788e6b1c992e5abd6d9fdb0b067706 fb4b293fb692e373860fff5e1b757cdd 619b70cca49db6867c9fc0c0f9bdae2f ae31c77cb97f0dbbf1402f6a56ed954b 1a0b9a12091a16d928c6965f103ed436 92228cf92ea54d01ffd7c757a0b8b108 202dff0ea68d1b8fde5585f91955243b 778fbb3b1e8d85c5ea89780bd60a222d 82dec3eeac5d034d118bba43fddd01fe e0895ec2e79cc78cd6ad15c511ebe2e9 e29fd8a6934c83cd0af5183c8a20d28f d65a46e00ff3a7f2af06e85ea441efd6 986c52f56b2581407fa7156ffb87b441 914a137760355c885ec39ff87241b577 7a65fd074e8ba1522664a4de341904dd a162ef7cbdff22c67e2a3e458d751a4b 7d05397e621f14fd9f7637cbd89f3c1a d526d1a358c5c6c3cf900ce27ae9cca7 ad112c56ac64e273a97895801151640a 225c2919fc0b1314d4dcd9f65ca793dd 940f64b6eed3e8efae8fb014958a8e33 bf1969c0e412e57637a9ae7a3b638492 0ea71f342633d91f22d71e5ec1ec2c91 fbe380eab85bbbeeddb1c36d313e21a9 6eaea601b7c9bd3a2b05cce3fa12e659 df7763a964c44c87b9cdfd6fa038d099 07da22cab5c55a4badb462bcbbded642 5544859d15c36bccd65ab5f5d263cafd c39ea129388a077989abed2081b5fe88 c959242321749237c9361696a94b439f 45e3696d78d57fc35094a6cf67e6414b cbec52b551914417d50a028b00cfd7ec a86d12b5b6afc410648fbecba3b8dc4b 88bd2cab4736aabd2335dbfbdb868a5f 3eb5ee04d8bf79b7d801e5d5e30d5375 21a30b278fd1629a1a90bee5cfed82d6 701f2951e46b04ff40511332ac0a2d6b af3e672c79b676fafee834c89f0ce8bc 31918ac86125684dbbfdb590f1efa7bf 772b45fe236302a47028cab5e494e2c1 26bb196318373fc504fb90c7644430fe 1e7808d3462d49317c9bcbe880a8cbb3 5989ae49379faffb543515291eb6bc3c 964c2e20dd3ddab151682958d4a3176e b1dde0ed7ab1f036845b5643cfaa699e fa3ce5e25872f62407f498e6a9abc3f5 12f0627b0f930aff1182481eb84cbc7d 28ad02b2b4d8ce4a66a894ed499bf9a6 2d32d3df204521db613affac24483418 149b3c17c1daf0de5c0d721a29222f88 622fd11bbba4c2f9f9c16ba5982127ae 282d970c7e74112691085e63921dbcfd d57c2263b83a1a7311282300cc43fb06 72f9e9afcc03ad4daa440ceae7b26211 148d4d5d1a7a214ba929bf9b4a55d851 33b680eee4f8b01a15a33f7fe5e0596c 05ebe8e85db18c7be6e1cb4845aea55f 29a0a978bbe2d6b9c29525603aec22da 3f7c418c1e4bf89fab0061b403360ae7 e6f35e978bd7ee5baf1f0e2b955965f6 b900738fcbf506ec7c6780c6f61d1962 9b74e2e5d9bea815a584482b6a020fa0 a2b04e2397b80971bf4e1a6442902e9c 8dfc3bd80ef8f26a711c5ecc1452f951 f48cbba2fe7a2cba3df1c5bcffc1fa83 ee103e6d84497dfcabf94ff40702e2af 076aac23dc8b99293a612498efe50776 54f566f05c8ead44701e146d8c122a71 d84c5d429b6ddf8cfcaa86d6ce31b51d 3b25a46250e3d86ab99fddf5ea59f358 3fc10ee48bc458287f14a9d35f144695 bfee05965ae27c389f9ac4ed8014d5d7 8fbf7934e0121a6ac37d608ec155366c 9be7dafe73083862f4761734a6eb1aa7 39b47e62a549f4a77dccc97d80ce688d 88dd5491279674258cb5b177006b52f8 8624322ae2483faffff421f46f814fc2 96db229e34310cd6abcbc7b32a39eb1e 6e17ec0b318c5e2599d6b49327fb88a6 9479a1a5ca3ebbe3eb239c6a1ee5dc41 a53ff6be64ffb553d6d01f980d537697 a5acf6b0f9724aed21a98b9b46654644 40b01afaf7132445e2268b0fc8363e54 8612a638846acf832935cb932a1f0398 0e4ee69b840621f54488a8198c1b6a16 63ab331dcf1f833c7d84a1d3929278d4 c134368e5f1f6dbce70e0ab71f00098d 83180cd579dd5e3259b0cc446909df47 8f0fb68673a8b3c26f3fd210e29b7916 5785815516931e56752e34833a3e0a41 7389b6c11a50061a457df7ef95f06d22 97a1b0e8d22c8dd7529ac24fe1087804 296fd5b4adfc2f343116f158c683aa6f 4f5def03309f95f0e33f77e4ed1d396d 89eef6528a77180c54584e156e4e0ed0 d66072bb4e903a9c1a95728d29427410 e042723033207fba986cb8de602b01c4 6829e39b08add1564fc5f1e6ab05c8a9 106f34a47e6278d0fc28ef5fbd99dbc8 e1f1d1cb77792882b72194e0e8448b6f d5480af8bf044cfd837f68d2ed4094f4 8f443149d912c06df561cee0af0ee74d 11046f1946dc468c3e78fbdf5a5500bc 560859414b86c10a44c3ec7dc1b85c8e 57d717789b00b69bc62c3f74e57f03a5 4c72aa911df3f2a38217bc28a131f87d c7cff74a053bb09d0853e13cb9d306d0 6a1e628bbfa0efc180c859f1aab849f0 1ae1d40e77a55b89dfeb9673de713dde 08275f55a867d68afd21ce8b62b90d72 ab16be25f43d38c5e4dcae528099771a 90d281aaf588bad4be3327bfc03d6249 bb72c3cff2ef7ebdf50a9aac7c3dad7d 1de6ba9dfeb8ff0aa1f185bf65c4d331 8b63ab22321a98fe3e4c6585ad2081fb 74e9ccab635cf7c8e57669b9e13d8449 ba3347844467246176574e557e909642 e990c276fbc1c79a05390fbf6840daf2 bf04985fd58dcc698557f0e092e889b4 96e66dfbf219b5c766be6bd6381ba041 8531ca1dfb1a51a6ce5c5922ea93c176 e648c12343c920d3f8b650ae59a3360d 69ee45b3e4a579df8e99b71fe94262fa a0b9c413db1dc97e273db823b71d0a07 21046b3d0284354dc16789d70fb64c2b 08dbd08fdb3800d91afba43c3297e6ab 7b80b9fe9c9fc11b5de1f5ccbcd1c1c5

Plugin error from diversity:

  All ``feature_ids`` must be present as tip names in ``phylogeny``. ``feature_ids`` not corresponding to tip names (n=278): 882b5b49ef18215727a0900958cdec5d ac0c04b57f2f679831ffbcff3139371b b8a7ef73ceb8cd33b3c6f2ebde2a414b 5d7a475edc693f12e34bd4e69d8e1c67 749906e6079c81c5b2979a147e503684 74b76a7b5bfea0f7d3d6f2676d2cb7af 483ea501739bd265b9b006c94db95856 6c2c7a52cfec0ac70b57b98f1de148c4 ccdb45a55543bc05134debc67d2b8ae7 ea9648d1684621260607a7bd66bfbd18 42e868e8f2f3446c0ae296ec94b8637f fb3ba27d784c03cd97128fc7968c243c 46edd9a681a1c394007859666f76d477 eb05482931b51e9bde4744daaa17b91d 36b4ddaa8e1fe7b1a446f3b2e3ac35cc a91be9bd1cfb06843201dacd3fa33ed1 e0f50c5adf537a0a3a63e61720b38ed5 e48b4fbdd5244022c9690e61e874b291 b2aa10addd2f81752e4c4234c381e31c c31a8652dd26b703c53b5e11ccaadc27 d15bd1dcb9de71d7452648673a59f5b8 1368aca6d12ec4a9bbf16a2ff67104e1 5c203041e0a140c4759233c013a871f3 49d46d00a93443b060707ab2db8ba82d 5542288a9f0643aeb5f6906931068f38 c52332c6a9f4ea9b9ce198c74a51cc4a bb18ef0eeba40b94f68f3c6f9072aff0 0fa9b44d52836d2f173f4ac532f8a013 ede5401b0aa0e235f957b738c873d93c 21c8aea8c3a8eb2dbb403fdb684aedec 9bd6b38174be13bed4d2888dd7a8839d 6f721414019e722dc2b7b4cd06f98528 0f3d1c012afafad3f627d79744370575 854dd0a051cfa57346d12de3b24794be b2cbd62204b1e02ac7b1cb6d1a364c8d 5b6f8fbabd1b7998dbb4a567c9f07876 146195f72933e590d98b89c38d6eda33 67ff81f260a2a71f0a15a9bf0ac876d4 8067c17902fc9afed1c97e24bd1856db 0aded94cc810b9b7e4d0b2beec70afbc feb5275b1437316a03b1c62c107fe441 c23d9c4626abe211214430dea60e8505 b340a9c84c319035b3f31381d476dfe6 0acf59ecab6c7730774ecca3868face9 b5956402a24a9153484f4249effcec18 318d04dc6984a2b81f191f4f2e687520 8542857817181052b42b9b4a4fb683c8 bf83e8bf9f565aa8e2e2ec26a42995a7 ba3fd450c2351d5961a6622a4c1a93d0 1e181baaea6ea44783270cf5e6116420 3b308bd028e2c95b0ec5400964344a7f a899e513e762a0730e59290d63ec33c8 0fe1a28e2cb770ae3286baf4da1ed7e8 bb0ec1f3c4e40bab0a1450b100df57b9 1b9b82444d4d216b95032bb22ee44a93 6b94959874b693c3304e68c57cefd287 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See above for debug info.
1 Like
(Matthew Ryan Dillon) #2

Yep! You need to have all feature IDs from your tables present in your phylogenetic tree, otherwise the phylogenetic metrics won’t have enough information to be computed.

:qiime2: :t_rex: