EGAN (Exploratory Gene Association Networks) is a software tool that allows a domain expert (a biologist) to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of entities (genes), relationships (protein-protein interactions, literature co-occurence, etc.) and meta-data (annotation, signaling pathways, etc.).
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EGAN - Exploratory Gene Association Networks
Python for Biologists
Python can be used to solve several problems that research laboratories face almost everyday. Data manipulation, biological data retrieval and parsing, automation, and simulation of biological problems are some of the tasks that can be performed in an effective way with computers and a suitable programming language.
WebArrayDB: A Platform for Microarray Data
WebArrayDB, has been developed that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion, and allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms.
EMBRACE - Active registry for bioinformatics web services
The EMBRACE (A European Model for Bioinformatics Research and Community Education) Network of Excellence has produced a web service registry that attempts to tackle the limitations and drawbacks of the already existing systems.The EMBRACE Service Registry is a collection of life-science web services with built-in service testing.
COBALT: A new tool for Multiple Sequence Alignment
Bridges: a tool for identifying local similarities in long sequences
Careers and Opportunities in Chemoinformatics
Chemoinformatics plays a key role in areas as diverse as chemical genomics and drug discovery, the storage of chemical information in databases and the prediction of toxic substances. Today, these techniques are mostly used in pharmaceutical companies in the process of drug discovery, but also for example in “functional foods”, designed by nutritional companies to improve body functions, such as for example digestion or brain function.
Bioinformatics In Pharma Industry
Bioinformatics provides the computational support for functional genomics which will link the behavior of cells, organism amd population to the information encoded in the genomes, as well as structural genomics. The utility of bioinformatics lies in the identification of useful genes leading to the development of new gene products. The subject covers topics such as protein modeling and sequence alignment, expression data analysis, and comparartive genomics. It combines algorithmic, statistical and database methods for studying biological problems also.
Careers in Bioinformatics
Bioinformatics, the use of computer technology to manage biological information, made its spectacular debut a few years ago, as the first trickles of gene sequence information from the Human Genome Program (HGP) and other sequencing projects grew into a deluge. Individuals with the skills to work on the interface between molecular biology and computer science instantly became some of the most sought-after job applicants in the biopharma world. With about 3 billion base pairs on its agenda, and a target completion date of 2005, HGP alone should foster a continuing explosion of data and a robust job market for computational biologists.