Bioinformatics is the result of the combination of Biology, Informatics and Technology. The main goals of Bioinformatics is to develop new algorithms and statistics that enable the correlation of large data groups, the analysis and understanding of large groups of data such as sequences of nucleotides and amino acids, protein domains and structures, etc, and finally the development and application of informatic tools.
Bioinformatics tools are focused on the study of genetic markers, molecular modeling, genomics and proteomics.
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Bioinformatics Institute of India (BII) - a premier Bioinformatics society, for the promotion, growth and prosperity of bioinformatics sciences. The Virginia Bioinformatics Institute (VBI) at Virginia Tech The Scottish Bioinformatics Forum - a comprehensive resource of bioinformatics related activities, research and expertise in Scotland Wageningen Bioinformatics Webportal - provides access to webbased information services for bioinformaticians and scientists working in life sciences UA.PT bioinformatics - They study algorithmic questions and computational solutions inspired by and related to biological and biomedical problems
BioInformatics, LLC - High-level management with market insights from gene to drug. Bioinformatics and Biological Computing Unit at the Weizmann Institute of Science The Bioinformatics Centre (D.I.C) at the University of Pune BioInformatics Services (BIS) - biotechnology consulting firm specializing in applying the power of computational biology to build solutions to complex biological and data analysis problems The Institute of Bioinformatics - The Institute focuses on key areas of biomedical research in discovering potential biomarkers in human cancers Human Genome Project Information - the first large scientific undertaking to address potential ELSI implications arising from project data. Bioinformatics at the MPI of Molecular Plant Physiology- research and development focused on the development of new computational methods for the analysis, integration, and visualization of large data sets and aims to contribute to the understanding of biological system