GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure

GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure

Abstract Background Quantification of gene expression from RNA-seq data is a prerequisite for transcriptome analysis such as differential gene expression analysis and gene co-expression network construction. Individual RNA-seq experiments are larger and combining multiple experiments from sequence r...

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Bibliographic Details
Main Authors: John A. Hadish, Tyler D. Biggs, Benjamin T. Shealy, M. Reed Bender, Coleman B. McKnight, Connor Wytko, Melissa C. Smith, F. Alex Feltus, Loren Honaas, Stephen P. Ficklin
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Bioinformatics
Subjects:
RNA-seq
Workflows
Gene expression matrix
Gene co-expression network
Differential gene expression
Nextflow
Online Access:https://doi.org/10.1186/s12859-022-04629-7

Internet

https://doi.org/10.1186/s12859-022-04629-7

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