BOL

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...

github.com - GraphUnzip, a fast, memory-efficient and accurate tool to unzip assembly graphs into their constituent haplotypes using long reads and/or Hi-C data. As GraphUnzip only connects sequences in the assembly graph that already had a potential link based...

www.ncbi.nlm.nih.gov - Genes and its related metadata could be found on https://www.ncbi.nlm.nih.gov/datasets/coronavirus/genomes/

orangedatamining.com - Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox.  

github.com - Phylogenomic Analysis Pipeline for Herbarium Specimens What is PhyloHerb: PhyloHerb is a wrapper program to process genome skimming data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies,...

http://ga4gh.org/#/ - GA4GH Data Working Group Led by David Haussler (UCSC) and Richard Durbin (Sanger Institute), the Data Working Group (DWG) of the Global Alliance brings together the leading Genome Institutes and Centers with IT industry leaders to create global...

The genome of 130 mammals was sequenced by a large international consortium and the data was analyzed together with 110 existing genomes to allow scientists to identify the important positions in the DNA.

github.com - ARG-ANNOT. PMID: 24145532 CARD. PMID: 23650175 MEGARes PMID: 27899569 NCBI BioProject: PRJNA313047 plasmidfinder PMID: 24777092 resfinder. PMID: 22782487 VFDB. PMID: 26578559 SRST2's version...

sourceforge.net - Modern genome sequencing strategies are highly sensitive to contamination making the detection of foreign DNA sequences an important part of analysis pipelines. Here we use Taxoblast, a simple pipeline with a graphical user interface, for the...

Structural variants (SVs) such as deletions, insertions, duplications, inversions and translocations litter genomes and are often associated with gene expression changes and severe phenotypes (ie. genetic diseases in humans).