search.cpan.org - BioPerl modules Bio::Graphics + Bio::DB:GFF and example scripts. It can draw some of the (but not all) feature types GBrowse can draw. This script should contain everything you can probably make use of (e.g. transcripts,...
github.com - RestrictionDigest can simulate the reference genome digestion and generate comprehensive information of the simulation. It can simulate single-enzyme digestion, double-enzyme digestion and size selection process. It can also analyze multiple genomes...
The benchmark module is a great tool to know the time the code takes to run. The output is usually in terms of CPU time. This module provides us with a way to optimize our code. With the advent of petascale computing and other multicore processor it...
https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html
Your profile:
Degree in bioinformatics, biostatistics, or equivalent
Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance...
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...
https://perlbrew.pl/ - perlbrew is an admin-free perl installation management tool. The latest version is 0.79, read the release note: Release 0.79.
Copy & Paste this line into your terminal:
\curl -L https://install.perlbrew.pl | bash
Or, if your...
github.com - TwinBLAST is a web-based tool for viewing 2 BLAST reports simultaneouslyside-by-side. It uses ExtJS (www.sencha.com/products/extjs/) to provide 2independently scrollable panels. BioPerl (www.bioperl.org) is used to indexraw BLAST reports and...
Jan Lisec from the Max Planck Institute of Molecular Plant Physiology explains, in this "pimp your brain" episode, what bioinformatics is and why bioinformatics is so important and indispensable for biological research.
In the video serial "Pimp...
journals.plos.org - By taking a comprehensive and careful approach to deep learning based on critical thinking about research questions, planning to maintain rigor, and discerning how work might have far-reaching consequences with ethical dimensions, the life science...