RNA-Rocket: An RNA-Seq Analysis Resource for Infectious Disease Research
Andrew S. WarreniD, Cristina Aurrecoechea, Brian Brunk, Prerak Desai, Scott EmrichiD, Gloria I. Giraldo-CalderóniD, Omar Harb, Deborah Hix, Daniel LawsoniD, Dustin MachiiD, Chunhong Mao, Michael McClelland, Eric Nordberg, Maulik Shukla, Leslie B. Vosshall, Alice R. Wattam, Rebecca Will, Hyun Seung Yoo, Bruno Sobral
Abstract
MotivationRNA-Seq is a method for profiling transcription using high-throughput sequencing and is an important component of many research projects that wish to study transcript isoforms, condition specific expression, and transcriptional structure. The methods, tools, and technologies employed to perform RNA-Seq analysis continue to change, creating a bioinformatics challenge for researchers who wish to exploit these data. Resources that bring together genomic data, analysis tools, educational material, and computational infrastructure can minimize the overhead required of life science researchers.\n\nResultsRNA-Rocket is a free service that provides access to RNA-Seq and ChIP-Seq analysis tools for studying infectious diseases. The site makes available thousands of pre-indexed genomes, their annotations, and the ability to stream results to the bioinformatics resources VectorBase, EuPathDB, and PATRIC. The site also provides a combination of experimental data and metadata, examples of pre-computed analysis, step-by-step guides, and a user interface designed to enable both novice and experienced users of RNA-Seq data.\n\nAvailability: RNA-Rocket can be found at rnaseq.pathogenportal.org Source code for this project can be found at github.com/cidvbi/PathogenPortal
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- FetchR: an intuitive end-to-end solution for local RNA-Seq analyses
Dustin R Fetch, Alexey A. Soshnev·bioRxiv·Aug 4, 2026
- RNASeqR: an R package for automated two-group RNA-Seq analysis workflow
Kuan-Hao Chao, Yi-Wen Hsiao, … Eric Yao-Yu Chuang·IEEE Transactions on Computational Biology and BioinformaticsPeer-reviewed·Dec 2, 2019
- pyrpipe: a python package for RNA-Seq workflows
Urminder Singh, Jing Li, … Eve Syrkin Wurtele·NAR Genomics and BioinformaticsPeer-reviewed·Apr 9, 2021
- aRNApipe: A balanced, efficient and distributed pipeline for processing RNA-seq data in high performance computing environments
Arnald Alonso, Brittany N. Lasseigne, … R Myers·BioinformaticsPeer-reviewed·Jan 20, 2017
- The Lair: A resource for exploratory analysis of published RNA-Seq data
Harold Pimentel, Pascal Sturmfels, … Lior Pachter·bioRxiv·May 31, 2016
- GEO2RNAseq: An easy-to-use R pipeline for complete pre-processing of RNA-seq data
Bastian Seelbinder, Thomas Wolf, … Jörg Linde·bioRxiv·Sep 16, 2019