Abstract

Combining comprehensive analytic functionalities with massive annotation databases, iDEP ( http://ge-lab.org/idep/ ) enables biologists to easily translate transcriptomic and proteomic data into actionable insights.

Keywords

BioconductorRNA-SeqComputational biologyTranscriptomeBiologymicroRNAKEGGComputer scienceGeneGene expressionGenetics

MeSH Terms

AnimalsB-LymphocytesCell ProliferationCellsCulturedComputational BiologyFibroblastsGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHomeodomain ProteinsHumansLungMiceRNASmall InterferingSequence AnalysisRNASoftwareTranscription FactorsTranscriptomeTumor Suppressor Protein p53

Affiliated Institutions

Related Publications

Publication Info

Year
2018
Type
article
Volume
19
Issue
1
Pages
534-534
Citations
1567
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1567
OpenAlex
136
Influential

Cite This

Xijin Ge, Eun Son, Runan Yao (2018). iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinformatics , 19 (1) , 534-534. https://doi.org/10.1186/s12859-018-2486-6

Identifiers

DOI
10.1186/s12859-018-2486-6
PMID
30567491
PMCID
PMC6299935

Data Quality

Data completeness: 90%