Biointelligence

Wednesday, Feb 22nd

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EGAN - Exploratory Gene Association Networks

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.).

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

COBALT (Constraint based Multiple Alignment Tool) is a multiple sequence alignment tool that finds a collection of pairwise constraints derived from conserved domain database, protein motif database, and sequence similarity, using RPS-BLAST, BLASTP, and PHI-BLAST.

BioGRID: A repository useful for Systems Biology

BioGRID interactions are recorded as relationships between two proteins or genes (i.e. they are binary relationships) with an evidence code that supports the interaction and a publication reference. The term “interaction” includes, as well as direct physical binding of two proteins, co-existence in a stable complex and genetic interaction. It should not be assumed that the interaction reported in BioGRID is direct and physical in nature; the experimental system definitions below indicate the nature of the supporting evidence for an interaction between the two biological entities. It should also be noted that some interactions in BioGRID have various levels of evidential support. BioGRID simply curates the result of the experiment from the publication and we do not guarantee that any individual interaction is true, well-established or the current consensus view of the community. Curating all available evidence supporting for an interaction enables orthogonal data from various sources to be collated, allowing users of the database to decide confidence in the existence and/or physiological relevance of that interaction.
More information on Biogrid can be found at: www.thebiogrid.org

BioGRID interactions are recorded as relationships between two proteins or genes (i.e. they are binary relationships) with an evidence code that supports the interaction and a publication reference

 

Bridges: a tool for identifying local similarities in long sequences

Bridges is a heuristic search tool that uses short word matches to rapidly identify local similarities between sequences. It consists of three stages: filtering input sequences, identifying local similarities and post-processing local similarities.

 

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.

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