TRAPLINE

TRAPLINE processes RNA sequencing (RNAseq) data to standardize and automate analysis, evaluation, and prediction for downstream applications including differential expression, protein-protein interaction prediction, splice variant and promoter-enriched site detection, miRNA-target prediction, and generation of files for SNP calling.


Key Features:

  • Platform Compatibility: Optimized for Illumina FASTQ reads and also supports SOLiD and Solexa sequencing platforms for NGS RNAseq data.
  • Integrated Workflow: Integrates data analysis, evaluation, and annotation methods into a cohesive automated workflow for transcriptome processing.
  • Differential Expression Analysis: Identifies differentially expressed genes from comparative transcriptomics analyses.
  • Protein-Protein Interaction Prediction: Predicts protein-protein interactions to provide insights into cellular functions and pathways.
  • Splice Variant and Promoter-Enriched Site Detection: Detects alternative splicing variants and promoter-enriched sites relevant to gene regulation.
  • miRNA-Target Predictions: Predicts miRNA-target interactions to support studies of post-transcriptional regulation.
  • SNP Calling Outputs: Generates files suitable for single nucleotide polymorphism (SNP) calling and downstream variation analyses.
  • Reproducibility: Implemented within the Galaxy biomedical research platform to support transparent and reproducible workflows.

Scientific Applications:

  • Comparative Transcriptomics: Supports identification of differential gene expression and transcriptome changes across conditions using RNAseq data.
  • Transcriptome Characterization: Enables characterization of complex transcriptomes, exemplified by analysis of stem cell-derived antibiotic-selected cardiac bodies (aCaBs).

Methodology:

Implemented as a Galaxy workflow that processes Illumina FASTQ, SOLiD, and Solexa RNAseq reads and integrates data analysis, evaluation, and annotation methods to produce outputs for differential expression, protein-protein interaction prediction, splice variant and promoter-enriched site detection, miRNA-target prediction, and files for SNP calling.

Topics

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/26/2017
Last Updated:
12/10/2018

Operations

Publications

Wolfien M, Rimmbach C, Schmitz U, Jung JJ, Krebs S, Steinhoff G, David R, Wolkenhauer O. TRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotation. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-015-0873-9. PMID:26738481. PMCID:PMC4702420.

PMCID: PMC4702420
Funding: - Bundesministerium für Bildung und Forschung: FKZ 02NUK043C, FKZ 0312138A - Deutsche Forschungsgemeinschaft: DA 12961 - Deutsche Herzstiftung: F/01/12 - FORUN Program of Rostock University Medical Centre: 889001 - EU funded CaSyM Project: 305033