Computational Biology

Bioinformatics Jobs

Dec 25th, 2015 | By

The CBGSE’s bioinformatics jobs site lists opening bioinformatics and computational biology jobs from around the world. In the last year we have posted over 2100 open positions. In addition to posting job openings this site has allowed us to collect data an critical jobs skills need in today’s bioinformatics job market.

Cancer’s Heterogeneity Modeling tumors’ diversity article

Mar 11th, 2015 | By

Cancer’s Heterogeneity Modeling tumors’ diversity By Alexander Gelfand This Cancer might spring from a single cell gone awry, but tumors are not monolithic collections of clones. Far from it: They contain many different types of cancer cells, all with their own mutations, proliferation rates, metastatic capacities, and drug responses.diversity pushes the limits of current diagnostic and

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Engineering Applications in Genomics Course online

Nov 19th, 2014 | By

ECEN 669 – Engineering Applications in Genomics Taught by Dr. Aniruddha Datta             Description The aim of this course is to provide graduate students with a glimpse of the fascinating ways in which electrical engineering approaches are being used in the area of systems biology. Having taken this course, the students

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Structural genomics

May 4th, 2014 | By

Researchers: Yu Peng Evolution-based methods are currently among the most successful ones in predicting protein structures. The central idea is that evolution information, derived based on protein sequences alone, can be used to guide protein folding. We are interested in developing new methods to predict protein structures using rapidly accumulating HTS data.

Genomics of complex diseases

May 4th, 2014 | By

Researchers: Yu Peng Complex diseases, such as Autism Spectrum Disorders, are caused by a combination of genetic and environmental factors. The non-Mendelian inheritance pattern of these diseases has defeated attempts to predict the occurrence of these diseases based on genomic information. We address this challenge by developing novel computational methods using systems biology approaches such as

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Regulation of gene expression

May 4th, 2014 | By

Researchers: Yu Peng Eukaryote gene expression is tightly controlled to give arise to different cell types and tissues. To understand transcription regulation, we develop new computational methods by integrating ChIP-seq, DNA methylation, nucleosome positioning, CLIP-seq and RNA-seq data. We closely work with experimental biologists to validate our predictions.