github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly. Depending on your genome size you may want to convert the .wig files to the BigWig format.
metagraph.ethz.ch - The MetaGraph framework is designed to work with a wide range of input data sets, indexing from a few samples up to the contents of entire archives with hundreds of thousands of records. The indexing workflow always follows the same principle,...
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...
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...
Suhas Rao and Miriam Huntley (of the Aiden Lab) describe a 3D map of the human genome at kilobase resolution, revealing the principles of chromatin looping. Guest Origami Folding: Sarah Nyquist.
Suhas S.P. Rao*, Miriam H. Huntley*, Neva C. Durand,...
www.strand-ngs.com - Strand Life Sciences announces the release of Strand NGS v3.1 at ASHG 2017
ORLANDO, USA, Oct 17, 2017/ PRNewswire/
Strand NGS now supports large scale RNA- and small-RNA-Seq and Unique Molecular Identifiers (UMIs) for DNA-, RNA-, and...
github.com - proActiv is an R package that estimates promoter activity from RNA-Seq data. proActiv uses aligned reads and genome annotations as input, and provides absolute and relative promoter activity as output. The package can be used to identify active...
The bioinformatics landscape for RNA sequence analysis is vast, with tools catering to specific needs. Whether you’re studying coding RNAs, non-coding RNAs, or exploring RNA-protein interactions, the right tools can transform your data into...