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

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

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 repositor...

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Bibliographic Details
Main Authors: Bender, M.R (Author), Biggs, T.D (Author), Feltus, F.A (Author), Ficklin, S.P (Author), Hadish, J.A (Author), Honaas, L. (Author), McKnight, C.B (Author), Shealy, B.T (Author), Smith, M.C (Author), Wytko, C. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
article
Co-expression networks
differential gene expression
Differential gene expression
Differential gene expressions
Digital storage
Gene co-expression network
gene expression
Gene expression
Gene expression matrix
Genes expression
Information management
information storage
matrix
Nextflow
Program processors
protein expression
Reusability
RNA
RNA sequencing
RNA-seq
RNA-Seq datum
software
workflow
Workflows
Work-flows
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