github.com - Rcorrector has an accuracy higher than or comparable to existing methods, including the only other method (SEECER) designed for RNA-seq reads, and is more time and memory efficient. With a 5 GB memory footprint for 100 million reads, it can be run...
www.genengnews.com - "By removing the time-consuming step of read mapping, the authors reported, Sailfish able to provide quantification estimates 20–30 times faster than current methods without loss of accuracy."
Tool...
rosalind.info - Rosalind is a platform for learning bioinformatics and programming through problem solving. Take a tour to get the hang of how Rosalind works.
http://rosalind.info/problems/list-view/
www.sthda.com - One of the aim of RNAseq data analysis is the detection of differentially expressed genes. The package DESeq2 provides methods to test for differential expression analysis.
In the world of transcriptomics, quantifying gene and transcript expression accurately and efficiently is crucial. With the explosion of RNA-Seq data, researchers have turned to fast, alignment-free tools that streamline the quantification process...
hibberdlab.com - Transrate is software for de-novo transcriptome assembly quality analysis. It examines your assembly in detail and compares it to experimental evidence such as the sequencing reads, reporting quality scores for contigs and assemblies. This...
chagall.med.cornell.edu - RNAseq can be roughly divided into two "types":
Reference genome-based - an assembled genome exists for a species for which an RNAseq experiment is performed. It allows reads to be aligned against the reference genome and significantly improves...