BOL

github.com - Module 1: Statistics for genomics (2-8 August 2021) A simple intro to statistical distributions hypothesis testing linear...

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...

The key to finding a solution is to notice that most genomicsequences differ by very little. It may well be that the number of complete genome sequences being stored is increasing rapidly, but the actual amount of new data is very small. In...

gtpb.igc.gulbenkian.pt - http://openwetware.org/wiki/User:Jarle_Pahr/Bioinformatics

Bioinformatics relevant research topics are: genomic scale studies endogenous mechanisms of mutations, germ line and somatic computational aspects of immunology in cancer signalling networks three-dimensional organization of information in...

The German-Canadian international research training group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes" has currently open positions for graduate students, to study at Simon Fraser University (Vancouver,...

Genotypic Technology, the first Genomics Company of India is poised to become the next generation life sciences company. We are hiring professionals for our high end Genomics Labs (Molecular Biology/ Microarray/NGS) and Bioinformatics...

Kindly look into following webpage: http://medhealth.leeds.ac.uk/info/1450/scholarships/1795/marie_curie_phd_training_network The closing date for application will be 26 June 2015.

https://epiviz.github.io/ - Epiviz is an interactive visualization tool for functional genomics data. It supports genome navigation like other genome browsers, but allows multiple visualizations of data within genomic regions using scatterplots, heatmaps and other...

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,...