BOL

You will have some previous experience with genome bioinformatics or other large scale scientific data analysis, or a newly qualified graduate student with data science skills interested in DNA sequence data. While desirable, previous experience...

The successful candidate will work as support staff mainly in the development, application and maintenance of pipelines for handling large omics datasets (including whole-genome sequences, high-density genotypes and mRNA sequences). These pipelines...

RGCB is organizing the 33rd Annual Convention of Indian Association for Cancer Research from 13th to 15th February 2014 with the theme "Discovery, Innovation and Translation in Cancer Research" Kindly log on to conference website...

Researchers at Michigan State University use TACC supercomputers to understand DNA bending and repair mechanisms.

This video demonstrates how cancer growth happens in human body.

TATA MEMORIAL CENTRE ADVANCED CENTRE FOR TREATMENT, RESEARCH AND EDUCATION IN CANCER KHARGHAR, NAVI MUMBAI – 410210 No. ACTREC/Advt./ 72 /2013 WALK IN INTERVIEW 1. JRF* Genome-wide RNAi screen with human pooled tyrosine kinase shRNA...

www.yandell-lab.org - MAKER is a portable and easily configurable genome annotation pipeline.Its purpose is to allow smaller eukaryotic and prokaryotic genome projects to independently annotate their genomes and to create genome databases. MAKER identifies repeats,...

cancer.sanger.ac.uk - The accurate description and annotation of structural variants can be complex.  This is due to the different resolution that variants are reported from traditional cytogenetic coordinates down to the actual base pair positions....

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...

Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput...