BOL

The LABGeM team (CEA/Genoscope, CNRS UMR 8030, France, Dir. Claudine Médigue) is developing integrated approaches which combines bioinformatics methods based (i) on genomic and metabolic contexts, (ii) on an orignal metabolic network representation...

REU at Fordham University- Summer 2016 An NSF-funded REU to study Y-chromosome diversity and sex-biased dispersal in wild brown rats (Rattus norvegicus) is available in the Munshi-South Lab at Fordham University. Our lab is currently...

Advt. No: IISERBPR/DoFA/2016/2 Advertisement for Faculty Positions The IISER Berhampur, an Institute of national importance, established through an act of Parliament is an autonomous organization under the Ministry of HRD, Govt. of India, to...

www.nature.com - Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine...

www.oreilly.com - BioCoder features: Novel therapeutic discovery strategies Hardware such as low-cost lab equipment or diagnostics Open or low­-cost bioinformatics tools Engineered organisms for the production of small molecules, biologics, or other...

https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/wissenschaftliche-r-mitarbeiter-in/phd-position-molecular-cell-biology-129604.html?suid=0ec057818886c1eceac674ca3f83943367a6cbe2 Essential experience / qualifications: We are...

www.h-invitational.jp - G-compass (http://www.h-invitational.jp/g-compass/) is a comparative genome browser. It visualizes evolutionarily conserved genomic regions between human and other 12 vertebrates based on original genome alignments pursuing higher coverage (1,2)....

github.com - Simka is a de novo comparative metagenomics tool. Simka represents each dataset as a k-mer spectrum and compute several classical ecological distances between them. Developper: Gaëtan Benoit, PhD, former member of...

github.com - find the resources we provide here useful in getting you set up to analyse and interpret your data. To reference VESPA: https://peerj.com/preprints/1895/ Documentation is now hosted on ReadTheDocs    

In Bio-informatics based genome sequencing and predicting metabolic pathways research jobs I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for...