sourceforge.net - GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).For more information about IGB, visit http://bioviz.org.Source code for...
github.com - Library of usual classes and functions written in python and used in the Dyogen team for comparative genomics applications.
Collaborative python library used in the DYOGEN teamfor studying the evolution of gene order in...
github.com - Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics.
https://github.com/tanghaibao/jcvi
More at https://github.com/tanghaibao/jcvi/wiki
github.com - gggenomes is a versatile graphics package for comparative genomics. It extends the popular R visualization packageggplot2 by adding dedicated plot functions for genes, syntenic regions, etc. and verbs to manipulate the plot to, for example,...
NBIS is now looking for a new member to support Swedish research in evolutionary, comparative, and population genomics, with a particular focus on conifer genomics.
Your tasks will consist of:
Advanced bioinformatics analyses within research...
Comparative genomics is the art and science of comparing genomes—across species, within species, or even among individuals—to unravel evolutionary relationships, functional elements, and genetic adaptations. As sequencing technologies have advanced...
Python Programming is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics...
sourceforge.net - GLEAN is an unsupervised learning system to integrate disparate sources of gene structure evidence (gene model predictions, EST/protein genomic sequence alignments, SAGE/peptide tags, etc) to produce a consensus gene prediction, without prior...
https://r-graphics.org/ - R is powerful tool for data analysis, visualization, and machine learning. And it costs $0 to use! Here are six FREE books you can use to learn R...