TRAP statistics

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Citations per year

Number of citations per year for the bioinformatics software tool TRAP
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Tool usage distribution map

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Associated diseases

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Popular tool citations

chevron_left Spliced read alignment Read alignment Differential expression Gene expression clustering Normalization Known transcript quantification Gene co-expression prediction Bioinformatics workflows Time course chevron_right
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Protocols

TRAP specifications

Information


Unique identifier OMICS_02590
Name TRAP
Alternative name Time-series RNA-seq Analysis Package
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 2.2
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Sun Kim

Information


Unique identifier OMICS_02590
Name TRAP
Alternative name Time-series RNA-seq Analysis Package
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Sun Kim

Publication for Time-series RNA-seq Analysis Package

TRAP citations

 (2)
library_books

Prioritizing biological pathways by recognizing context in time series gene expression data

2016
BMC Bioinformatics
PMCID: 5259824
PMID: 28155707
DOI: 10.1186/s12859-016-1335-8

[…] s producing time-series gene expression data has increased dramatically []. Thus, several pathway analysis methods for time-series gene expression data have also been developed recently. For example, Time-series RNA-seq Analysis Package (TRAP) analyzes time-series gene expression data and identifies significant pathways with regard to the propagation difference of gene expression between two diffe […]

call_split

Gene Expression Associated with Early and Late Chronotypes in Drosophila melanogaster

2015
PMCID: 4457141
PMID: 26097463
DOI: 10.3389/fneur.2015.00100
call_split See protocol

[…] To compare gene expression between E and L time-series samples, we employed the Time-series RNA-seq Analysis Package (TRAP) (). To identify time-series DEGs, as well as relevant biological pathways, TRAP implements the over-representation analysis (ORA) (), and pathway topology b […]


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TRAP institution(s)
Department of Computer Science and Engineering, Seoul National University, Seoul, South Korea; Bioinformatics Institute, Seoul National University, Seoul, South Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea; Department of Biomedical Sciences, Sunmoon University, Asan, South Korea
TRAP funding source(s)
Supported by a grant from the Next-Generation BioGreen 21 Program (No. PJ009037022012), Rural Development Administration, Republic of Korea; the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science, ICT & Future Planning(2012M3A9D1054622).

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