BOL

Vienna Biocenter are seeking two postdoctoral researchers to join our team and work on the ERC funded project "METASCALE: Modes of genome evolution during major metazoan transitions". The task of both positions will be to study co-evolutionary...

NIBMG are looking for bright and motivated people in our big projects on cutting edge biomedical genomics...

COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP  @ cbs.dtu.dk Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf

https://www.ga4gh.org/ - The Global Alliance for Genomics and Health (GA4GH) is a policy-framing and technical standards-setting organization, seeking to enable responsible genomic data sharing within a human rights framework. GA4GH core funders and sponsors enable our...

The genome of 130 mammals was sequenced by a large international consortium and the data was analyzed together with 110 existing genomes to allow scientists to identify the important positions in the DNA.

Applications are invited upto 12th February 2021 in the prescribed format (available on the websites of ICMR-NIMR) through link http://onlineapply.nimr.org.in/ up to 05:00 PM on 12th February 2021 for the following post on contract basis at NIMR,...

Lab are included within the Genomics, Bioinformatics and Evolution group of the UAB, and collaborate closely with other researchers in the Barcelona area, such as Xavier Estivill of the Centre for Genomic Regulation (CRG), Juan R González of the...

Genomics India Conference is back and this time we are coming to Shiv Nadar Intitution of Eminenece, Delhi NCR. GIC 2024 will be held from 1st to 3rd of February 2024 and we are happy to send you an early invitation for India's premier genomics...

We focus on fundamental questions in genomics, ecology, and evolution. Our methods include fieldwork and labwork, but most of our time is spent analyzing genomics data using computational biology approaches. Ant / bacteria co-evolution, landscape...

Choosing the right normalization method depends on the specific objectives of your RNA-Seq analysis. TPM’s proportionality and robustness make it the preferred choice for most applications, while CPM serves well for differential expression...