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https://ncbiinsights.ncbi.nlm.nih.gov/2024/07/15/refseq-release-225/

Creators of software widely used in computational biology discuss the factors that contributed to their success

www.gigasciencejournal.com - Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten...

hpcugent.github.io - EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.A full list of supported software packages is available here.

www.igenbio.com - ERGO 2.0 provides a systems biology informatics toolkit centered on comparative genomics to capture, query, and visualize sequenced genomes.  Using Igenbio's proprietary algorithms, and the most comprehensive genomic database integrated with...

theory.stanford.edu - Moss (for a Measure Of Software Similarity) is an automatic system for determining the similarity of programs. To date, the main application of Moss has been in detecting plagiarism in programming classes. Since its development in 1994, Moss has...

github.com - GRIDSS is a module software suite containing tools useful for the detection of genomic rearrangements. GRIDSS includes a genome-wide break-end assembler, as well as a structural variation caller for Illumina sequencing data. GRIDSS calls variants...

A curated list of awesome Perl frameworks, libraries and software. major/MySQLTuner-perl - MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and...

compcytogen.pensoft.net - "DRAWID has number of advantages including a user-friendly interactive interface, possibility for simultaneous chromosome and FISH/GISH/banding signal measurement and idiogram drawing as well as number of useful functions facilitating the procedure...

www.bioapp.org - EWAS2.0 can analyze EWAS data and identify the association between epigenetic variations and disease/phenotype. On the basis of EWAS1.0, we have added more distinctive features. EWAS2.0 software was developed based on our “population...