A tool that provides quality control over RNA-seq datasets #RNA sequence #Control RNA #Transcriptome sequencing #RNA #Seq #Transcriptome
Deep transcriptome sequencing (RNA-seq) provides massive and valuable information about functional elements in the genome.
Using RNA-seq data, people can profile gene expression change, interrogate alternative splicing events, uncover novel transcribed regions, detect aberrant transcripts (such as gene fusions) and coding variants, etc.
Ideally, transcriptome sequencing should be able to directly identify and quantify all RNA species, small or large, low or high abundance.
However, RNA-seq is a complicated, multistep process involving sample preparation, amplification, fragmentation, purification and sequencing. A single improper operation would result in biased or even unusable data.
It is always a good practice to check the quality of your RNA-seq data before pursuing any directions listed above.
EVER-seq is a free and open-source package (Evaluate Experiment of RNA-seq) to comprehensively quality control RNA-seq datasets.
EVER-seq is cross-platform and it works on Mac OS X, Windows and Linux.
Detailed instructions on how to install and use the EVER-seq utility on your Mac are available HERE.
System requirements
What's new in EVER-seq 1.0.7:
- Reduce memory usage of 'read_distribution.py'. This module still consumes a large amount of memory (19Gb using human Refseq gene model), but the good thing is memory usage will NEVER increase no matter how large the SAM file is.
EVER-seq 1.0.7
add to watchlist add to download basket send us an update REPORT- runs on:
- Mac OS X (-)
- file size:
- 507 KB
- filename:
- EVER-seq-1.0.7.tar.gz
- main category:
- Math/Scientific
- developer:
- visit homepage
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