VARUS
VARUS is a software tool that automates selecting, downloading, and aligning RNA-Seq data from NCBI's Sequence Read Archive (SRA) for a given species and genome. Its main features and advantages include:
1. Automated data selection: VARUS chooses the most suitable RNA-Seq runs from the SRA, eliminating the need for manual selection.
2. Efficient data sampling: The tool employs an online algorithm to randomly select subsets of reads, aiming to cover a large number of transcripts adequately while considering limited network bandwidth and computing resources.
3. Improved sensitivity and specificity: VARUS achieved better sensitivity and specificity in most tested species with fewer downloaded reads compared to manual run selection.
4. Compatibility with genome annotation tools: RNA-Seq data sampled with VARUS is well-suited for fully automatic genome annotation using tools like BRAKER.
5. Automation of genome annotation: VARUS enables the complete automation of the genome annotation process, including the selection and quality control of RNA-Seq data, without compromising accuracy compared to manually supervised annotation.
Topic
RNA-Seq;Gene transcripts;Model organisms;Transcriptomics;Sequence assembly
Detail
Operation: Deposition;De-novo assembly;Transcriptome assembly;Genome annotation
Software interface: Command-line user interface
Language: C++,Perl
License: GNU General Public License, version 3
Cost: Free of charge with restrictions
Version name: v1.0.0
Credit: Deutsche Forschungsgemeinschaft (DFG), US National Institutes of Health.
Input: -
Output: -
Contact: Mario Stanke mario.stanke@uni-greifswald.de
Collection: -
Maturity: -
Publications
- VARUS: sampling complementary RNA reads from the sequence read archive.
- Stanke M, et al. VARUS: sampling complementary RNA reads from the sequence read archive. VARUS: sampling complementary RNA reads from the sequence read archive. 2019; 20:558. doi: 10.1186/s12859-019-3182-x
- https://doi.org/10.1186/s12859-019-3182-x
- PMID: 31703556
- PMC: PMC6842140
Download and documentation
Source: https://github.com/Gaius-Augustus/VARUS/releases/tag/v1.0.0
Documentation: https://github.com/Gaius-Augustus/VARUS/blob/master/README.md
Home page: https://github.com/Gaius-Augustus/VARUS
< Back to DB search