BOL

github.com - SEASTAR (Systematic Evaluation of Alternative STArt site in RNA) is a software package for Transcription Start Site (TSS) identification and quantification using only RNA-seq data. It assembles novel TSSs based only on RNA-Seq data and merges them...

Meta-transcriptomics combines high-throughput sequencing technologies with computational biology to profile the RNA content of a sample.

eugi.bi.up.ac.za - swgis v2.0 is the modified version of the seqword genomic island sniffer. this version is specifically optimized for predicting genomic islands in eukaryotic genomes. swgis v2.0 was tested on several eukaryotic species of different lineages....

Linear, Chimeric, Supplementary, Primary and Secondary Alignments

bioinform.github.io - Ultrafast and accurate nucleotide-resolution analysis of structural variants More at http://bioinform.github.io/breakseq2/ Download BreakSeq2 Latest version: https://github.com/bioinform/breakseq2/archive/2.2.tar.gzFor other versions, see...

The interaction between proteins and other molecules is fundamental to all biological functions. In this section we include tools that can assist in prediction of interaction sites on protein surface and tools for predicting the structure of the...

The Rogers lab studies evolution of genome structure. We explore the ways that complex mutations like duplications, deletions, rearrangements, and retrogenes can create new genetic material. We study how these new mutations are important for...

github.com - The GenomeQC web application is implemented in R/Shiny version 1.5.9 and Python 3.6 and is freely available at https://genomeqc.maizegdb.org/ under the GPL license. All source code and a containerized version of the GenomeQC pipeline is...

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...