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The Lair: a resource for exploratory analysis of published RNA-Seq data
- Source :
- BMC Bioinformatics
- Publication Year :
- 2016
- Publisher :
- BioMed Central, 2016.
-
Abstract
- Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice. We introduce a series of tools for processing and analyzing RNA-Seq data in the Sequence Read Archive, that together have allowed us to build an easily extendable resource for analysis of data underlying published papers. Our system makes the exploration of data easily accessible and usable without technical expertise. Our database and associated tools can be accessed at The Lair: http://pachterlab.github.io/lair.<br />National Institutes of Health grants R01 HG006129, R01 DK094699 and R01 HG008164.
- Subjects :
- 0301 basic medicine
Computer science
Shiny
Reanalysis
RNA-Seq
RNA kjarnsýra
Biochemistry
Database
Gagnagrunnar
World Wide Web
03 medical and health sciences
Exploratory data analysis
0302 clinical medicine
Resource (project management)
Structural Biology
Humans
Sequence Read Archive
Interactive visualization
Molecular Biology
030304 developmental biology
0303 health sciences
Reproducibility
Information retrieval
Sequence Analysis, RNA
bepress|Biology
bepress|Life Sciences|Biology
Applied Mathematics
High-Throughput Nucleotide Sequencing
Reproducibility of Results
Exploratory analysis
Computer Science Applications
3. Good health
Kallisto
030104 developmental biology
Sequence read archive
Data analysis
bepress|Life Sciences|Bioinformatics
bepress|Bioinformatics
DNA microarray
Databases, Nucleic Acid
Sleuth
Software
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics
- Accession number :
- edsair.doi.dedup.....063efdbec1dccd94def528836e7b4b62