BOL

ArrayGen is offering an Internship Program for Post graduate Bioinformatics / Biotechnology students and professionals. ArrayGen Technologies provide an excellent opportunity to gain research experience and explore if a scientific career is right...

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...

github.com - Implementation of the Pairwise Sequentially Markovian Coalescent (PSMC) model

MGI, a subsidiary of global genomics leader BGI Group, announced pricing and its first early access customer for the new ultra high-throughput sequencer, MGISEQ-T7, saying it has driven down sequencing cost to $5 per gigabyte

github.com - Nucleus is a library of Python and C++ code designed to make it easy to read, write and analyze data in common genomics file formats like SAM and VCF. In addition, Nucleus enables painless integration with the TensorFlow machine learning framework,...

bigd.big.ac.cn - 2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the GISAID, NCBI, NMDC and CNCB/NGDC. It also incorporates a wide range of relevant information including scientific...

Asaf Levy hiring a postdoctoral fellow for a large-scale microbial comparative genomics project at the Hebrew University of Jerusalem (Israel). The project is a continuation of Levy Asaf et al. Nature Genetics 2018 paper. Requirements:...

The BLAST+ 2.10.0 release is now available from at FTP site. The new version offers the following improvements:

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...