five

(high-temp) No 2. Data Preparation (16S rRNA/ITS) Output

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://figshare.com/articles/dataset/_high-temp_No_2_Data_Preparation_16S_rRNA_ITS_Output/14690739
下载链接
链接失效反馈
官方服务:
资源简介:
Output files from the No 2. Data Preparation Workflow page of the SWELTR high-temp study. Workflow objects: data_prep_ssu18_wf.rdata: contains all variables and phyloseq objects from the 16s rRNA part of data prep pipeline. To see the Objects, in R run load("data_prep_ssu18_wf.rdata", verbose=TRUE) data_prep_its18_wf.rdata: contains all variables and phyloseq objects from the ITS part of data prep pipeline. To see the Objects, in R run load("data_prep_its18_wf.rdata", verbose=TRUE) Additional files: For convenience, we also include raw phyloseq objects(before removing contaminants, etc.), as well as individual ASV, taxonomy, sample data tables. Each zip file contains the following: *_ps.rds: raw phyloseq object. *_full_seq_table.txt: Tab-delimited text file of ASV table. *_full_tax_table.txt: Tab-delimited text file of taxonomy table. *_sam_tab.txt: Tab-delimited text file of sample table. *_full.fasta: Fasta formatted file of all ASV sequences*_ps_work_o.rds: Phyloseq object after removing contaminants. data_prep_wf_ssu.zip: data packet for 16S rRNA data.data_prep_wf_its.zip: data packet for ITS data. Source code for the workflow can be found here:https://github.com/sweltr/high-temp/blob/main/data-prep.Rmd
创建时间:
2022-05-06
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