3269404
doi
10.5281/zenodo.3269404
oai:zenodo.org:3269404
user-galaxy-training
Subina Mehta
University of Minnesota
Praveen Kumar
University of Minnesota
Trimmed RNASeq pair for the Galaxy Training Network tutorial - "Metatranscriptomics analysis using microbiome RNASeq data"
Pratik Jagtap
University of Minnesota
doi:10.1038/s41396-018-0290-y
url:https://www.ncbi.nlm.nih.gov/sra/SRX3777369
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Metatranscriptomics
Functional microbiome
RNA-Seq
Taxonomy
Function
<p>Functional microbiome analysis which estimates the functional groups expressed by microbial community enables researchers to look beyond taxonomic composition and correlation with the condition under study. Using microbial community RNA-Seq data and subsequent metatranscriptomics workflows to elucidate the functional complement of the microbiome is gaining interest in the field. <br>
This Galaxy training network tutorial will introduce researchers to the basic concepts and tools from the published ASaiM workflow (Batut et al, <em>GigaScience</em> (2018), 7 (6),<a href="http://dx.doi.org/10.1093/gigascience/giy057"> http://dx.doi.org/10.1093/gigascience/giy057</a>). </p>
<p>The dataset is a trimmed version of one of the time points from a cellulose degradation biogas reactor dataset. The dataset has been trimmed to facilitate running the workflows for this tutorial. Any biological interpretation from the results would be incorrect, due to the trimmed version of the dataset.</p>
Zenodo
2019-07-05
info:eu-repo/semantics/other
3269403
user-galaxy-training
1659602327.629341
1707786
md5:7b897dbdf6e9435f2fae14ef2a06b62b
https://zenodo.org/records/3269404/files/REVERSE_T4A_R.fastqsanger
1707786
md5:34e883ee0569fde7f45ddbd618484d98
https://zenodo.org/records/3269404/files/FORWARD_T4A_F.fastqsanger
public
10.1038/s41396-018-0290-y
Is part of
doi
https://www.ncbi.nlm.nih.gov/sra/SRX3777369
Is cited by
url
10.5281/zenodo.3269403
isVersionOf
doi