five

Adam, Kolyfetis et al., 2022. Supplementary Data.

收藏
DataCite Commons2025-06-01 更新2024-07-29 收录
下载链接:
https://figshare.com/articles/dataset/Adam_Kolyfetis_et_al_2021_Supplementary_Data_/15088110/5
下载链接
链接失效反馈
官方服务:
资源简介:
Compressed Supplementary Data files for (Adam, Kolyfetis, et al., 2022). File descriptions are given below and in more detail in the readme file. This is version 20220819. <br> Data_S1 Data regarding all DUF phylogenies (taxonomic distributions, HMM profiles, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, phylogeny runs), plus lists of genomes in local databases. <br> Data_S2 Data regarding methanogenesis markers phylogenies from (Borrel et al., 2019) (HMM profiles, DIAMOND query sequences, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, and phylogeny runs). <br> Data_S3 Data regarding methanogenesis marker phylogenies from (Gao &amp; Gupta, 2007) and phylogenies of Wood-Ljungdahl pathway and methyltransferase proteins (HMM profiles, DIAMOND query sequences, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, and phylogeny runs), plus SyntTax outputs. <br> Data_S4 Data regarding congruence tests and the concatenation phylogeny of Mcr. <br> Data_S5 Data regarding congruence tests and the concatenation phylogeny of Mtr. <br> Data_S6 Data regarding phylogenies of additional Eha, Ehb and Hcg proteins (HMM profiles, DIAMOND query sequences, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, and phylogeny runs). <br> Data_S7 Data regarding congruence tests and the concatenation phylogeny of Eha. <br> Data_S8 Data regarding congruence tests and the concatenation phylogenies of Ehb. <br> Data_S9 Data regarding all rooting analyses on the concatenations and the methyltransferases genes. <br> Data_S10 Data regarding gene and site concordance factor calculations for all concatenations. <br> Data_S11 Data regarding all Ancestral Sequence Reconstruction runs, homology searches of the ancestral sequences, trimmed ancestral sequences, and homology modeling of McrA. <br> Data_S12 Data regarding congruence tests and the concatenation phylogenies of the Hcg proteins. <br> Data_S13 Data regarding site-specific rate calculations, benchmarks, and all related statistical tests. Transmembrane segment prediction runs and statistical tests for their relationship eith site-specific rates. <br> Data_S14 Data regarding the phylogenetic runs for the taxonomic placement of NRA7 (Archaeoglobi) and Bathyarchaeia metagenomic bins. Also data regarding AAI/ANI, biogeography, and 16S analyses, plus CheckM outfiles. <br> Data_S15 Data regarding the results of the metabolic prediction (BlastKOALA/dbCAN2/HydDB/MEROPS) for the genomes studied. <br> Data_S16 Custom scripts (same as in the manuscript's Github repository, along with their license and readme file) and a file with the R functions (statistics) used in the analyses. <br> Changelog v5 (20220819) 1) Added Data_S16 (customs scripts, R functions). 2) Changed title to correspond to expected publication year for the manuscript, instead of the preprint. <br> Changelog v4 (20220424) 1) Added the SyntTax csv outputs to Data_S3. <br> Changelog v3 (20220422) 1) Added the names-assemblies files (lists of genomes) in Data_S1. 2) Changed filenames from "Supplementary_Data_<em>N</em>" to "Data_S<em>N</em>". <br> Changelog v2 (20220411) 1) Numbering of Supplementary Data files changed to corrrespond to the revised manuscript. 2) Added MtsB phylogenetic analyses (Data_S3) and rooting (Data_S9). 3) Added taxonomic analyses (Data_S14) and metabolic predictions (Data_S15) for Hydrothermarchaeota and Geothermarchaeales. 4) Added phylogenetic analyses combining the large catalytic subunits of [NiFe] hydrogenase groups 4h (Eha) and 4i (Ehb) (Data_S6). 5) Added Pearson and updated Spearman correlations for rate calculation benchmarks (Data_S13). Added Spearman correlations for desaturation dataset benchmarks (Data_S14).
提供机构:
figshare
创建时间:
2022-08-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作