github.com - Trinity, developed at the Broad Institute and the Hebrew University of Jerusalem, represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules:...
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...
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...
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...
github.com - HiCdat: a fast and easy-to-use Hi-C data analysis tool
HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes,...
kissplice.prabi.fr - KisSplice is a software that enables to analyse RNA-seq data with or without a reference genome. It is an exact local transcriptome assembler that allows to identify SNPs, indels and alternative splicing events. It can deal with an arbitrary number...
www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
Keep scrolling. Using a data set about homes, we will...