github.com - If you planning on conducting a study involving dozens of large genomes, then you do not have to run all pairwise synteny alignments .. simply try kraken: A universal genomic coordinate translator for comparative genomics
chmille4.github.io - Scribl is a javascript, Canvas-based graphics library that easily generates biological visuals of genomic regions, alignments, and assembly data. Scribl can also be used in conventional offline pipelines, since everything needed to generate charts...
http://www.phyloxml.org/ - phyloXML (example) is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch...
We have a great pleasure to invite you to the NGSymposium in Computational Biology to celebrate the 5th anniversary of the NGSchool Summer Schools. This international conference will make way for exchanging knowledge and experiences between...
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,...
Imagine waking up one day and realizing that somewhere in a laboratory, a scientist is reading the DNA of a whale. Somewhere else, another team is sequencing a rare plant, while researchers in India are decoding the genomes of diverse human...
The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond...
The Department of Biomedical Informatics is seeking highly motivated postdoctoral fellows in bioinformatics methods development and research applied to translation and clinical biomedical research. The successful candidate will do significant open...
https://www.kubeflow.org/ - The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed...