Using R and Bioconductor in Clinical Genomics and Transcriptomics
- 1 January 2020
- journal article
- review article
- Published by Elsevier in The Journal of Molecular Diagnostics
- Vol. 22 (1) , 3-20
Abstract
No abstract availableKeywords
This publication has 119 references indexed in Scilit:
- panelcn.MOPS: Copy-number detection in targeted NGS panel data for clinical diagnosticsHuman Mutation, 2017
- RNA-Seq workflow: gene-level exploratory analysis and differential expressionF1000Research, 2016
- Near-optimal probabilistic RNA-seq quantificationNature Biotechnology, 2016
- Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferencesF1000Research, 2016
- Oncotator: Cancer Variant Annotation ToolHuman Mutation, 2015
- SomatiCA: Identifying, Characterizing and Quantifying Somatic Copy Number Aberrations from Cancer Genome Sequencing DataPLOS ONE, 2013
- Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortalScience Signaling, 2013
- Scalable Strategies for Computing with Massive DataJournal of Statistical Software, 2013
- The Sequence Alignment/Map format and SAMtoolsBioinformatics, 2009
- Bioconductor: open software development for computational biology and bioinformaticsGenome Biology, 2004