five

Database Darkly files

收藏
Mendeley Data2024-06-11 更新2024-06-29 收录
下载链接:
https://zenodo.org/records/11490400
下载链接
链接失效反馈
官方服务:
资源简介:
Database Darkly website Description of available files: DatabaseDarkly_taxa_06052024.csv - version 1 of a curated database. Taxonomic assignments from all deep-sea hydrothermal vent ASVs were compiled with exisiting knowledge reference-seqs-databasedarkly.fasta - reference sequences for all ASVs and taxonomic assignments reference-taxIDs-databasedarkly.tsv - Table with taxonomic assignments and sequence IDs (Feature ID) QIIME2 files - Use the below .qza files in your qiime2 pipeline to compare ASVs. microeuk-merged-asv-table.qza microeuk-merged-ref-seqs.qza microeuk-merged-taxa.qza Project goals: Curate and annotate what we know about deep-sea marine microbial eukaryotes. Much of what we know about deep-sea microorganisms comes from the biogeography and inferred ecology of environmental species or strains. This database originates from deep-sea marine habitats, specifically hydrothermal vents. Species and strains capture are assumed to be present in these environments; however what we know about their ecological roles remains understudied. This database project involves extensive literature searches, comparative analyses, and inventories of these species, so we can get closer to having a more complete understanding of the roles protists play in the deep ocean. There are three primary goals of this project: (1) Complement our comprehensive sequence database of deep-sea microbial eukaryotic diversity with metadata on taxonomic nomenclature (Costello et al. 2013; Horton et al. 2017), tree of life placement (e.g., iTOL and Open Tree of Life Letunic and Bork 2021; Michonneau et al. 2016; OpenTreeOfLife et al. 2019), a functional trait database (e.g., cell morphology, motility, ploidy, etc.; Ramond et al. 2019), and accounts of planktonic protist interactions (Bjorbækmo et al. 2020), (2) to highlight the number of taxonomic lineages that are severely lacking representation in the sequence reference database (Guillou et al. 2012), and (3) to look for patterns in the assignment of the phylogenetically elusive protists that may be related to fluid geochemistry or biogeography. Contributors to curation effort: Sarah Hu (PI, TAMU) Abby Day (Undergrad, TAMU) Madeleine Lerma (Undergrad, TAMU) Meagan Sonsel (Undergrad, TAMU) Siddarth Seshampally (Undergrad, TAMU) Alexis Adams (PhD student, TAMU) Kayla Nedd (PhD student, TAMU)
创建时间:
2024-06-07
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