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.
Uncovering Mechanisms of Hepatotoxicity for High Affinity Antisense Oligonucleotides – 3’ end RNA-seq Profiling Using GeneSpring GX
High affinity antisense oligonucleotides (ASOs) containing bicylic modifications (BNA) such as locked...
Continuing our DNA-Seq webinar series, we'll present Strand NGS v3.0 best-practices: a workflow that identifies highly accurate variants from raw reads. Our best practices workflow is twice as fast as its GATK counterpart, and results in...
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...
pachterlab.github.io - With kallisto | bustools you can
Generate a cell x gene or cell x transcript equivalence class count matrix
Perform RNA velocity and single-nuclei RNA-seq analsis
Quantify data from numerous technologies such as...