Omics Pipe: a community-based framework for reproducible multi-omics data analysis
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Omics Pipe: a community-based framework for reproducible multi-omics data analysis
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 31, Issue 11, Pages 1724-1728
Publisher
Oxford University Press (OUP)
Online
2015-01-31
DOI
10.1093/bioinformatics/btv061
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- HTSeq--a Python framework to work with high-throughput sequencing data
- (2014) S. Anders et al. BIOINFORMATICS
- Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
- (2014) Olga Golosova et al. PeerJ
- Harnessing virtual machines to simplify next-generation DNA sequencing analysis
- (2013) J. Nocq et al. BIOINFORMATICS
- Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
- (2013) Simon Anders et al. Nature Protocols
- The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud
- (2013) Katherine Wolstencroft et al. NUCLEIC ACIDS RESEARCH
- Bpipe: a tool for running and managing bioinformatics pipelines
- (2012) Simon P. Sadedin et al. BIOINFORMATICS
- STAR: ultrafast universal RNA-seq aligner
- (2012) Alexander Dobin et al. BIOINFORMATICS
- Snakemake--a scalable bioinformatics workflow engine
- (2012) J. Koster et al. BIOINFORMATICS
- graphite - a Bioconductor package to convert pathway topology to gene network
- (2012) Gabriele Sales et al. BMC BIOINFORMATICS
- Automated Capture of Experiment Context for Easier Reproducibility in Computational Research
- (2012) Andrew Davison COMPUTING IN SCIENCE & ENGINEERING
- Comprehensive molecular portraits of human breast tumours
- (2012) Daniel C. Koboldt et al. NATURE
- Identifying ChIP-seq enrichment using MACS
- (2012) Jianxing Feng et al. Nature Protocols
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
- (2012) Cole Trapnell et al. Nature Protocols
- Next-generation sequencing data interpretation: enhancing reproducibility and accessibility
- (2012) Anton Nekrutenko et al. NATURE REVIEWS GENETICS
- A decade’s perspective on DNA sequencing technology
- (2011) Elaine R. Mardis NATURE
- ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
- (2010) Matthew D. Wilkerson et al. BIOINFORMATICS
- Ruffus: a lightweight Python library for computational pipelines
- (2010) Leo Goodstadt BIOINFORMATICS
- The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
- (2010) A. McKenna et al. GENOME RESEARCH
- Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities
- (2010) Sven Heinz et al. MOLECULAR CELL
- A scaling normalization method for differential expression analysis of RNA-seq data
- (2010) Mark D Robinson et al. GENOME BIOLOGY
- Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
- (2010) Jeremy Goecks et al. GENOME BIOLOGY
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- A novel signaling pathway impact analysis
- (2008) Adi Laurentiu Tarca et al. BIOINFORMATICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now