Category Archives: BioInformatics

CollabRx has appointed Paul Billings to its board of directors. Billings is a board certified internist and clinical geneticist and most recently served as chief medical officer for Life Technologies. He is executive chairman of Melanoma Diagnostics, a director of Trovagene, and a co-founder and past medical director of the Cordblood Registry. He was also a senior vice president for corporate development at Laboratory Corporation of America and a co-founder of Omicia. Billings also currently serves on the Scientific Advisory Board of the US Food and Drug Administration, the Genomic Medicine Advisory Committee at the Department of Veterans Affairs, and the National Academy of Sciences Institute of Medicines Roundtable on Genomics. Kathy Hibbs, former senior VP and general counsel at Genomic Health, has joined 23andMe as chief legal and regulatory officer. Hibbs joins 23andMe while the firm is in the midst of regulatory discussions with the US Food and Drug Administration regarding its Personal Genome Service. Hibbs has also worked at Monogram Biosciences and Varian Medical Systems, and is actively engaged in a number of industry groups, such as the American Clinical Laboratory Association, the Coalition for 21st Century Medicine, and the Personalized Medicine Coalition. Stephen Rusckowski has been named … Continue reading →

Bioinformatics By: siti fatimah nur ramli … Continue reading →

Part 1 : Introduction to Bioinformatics, PDB and EMBL-EBI group video presentation. By: talha azizan … Continue reading →

The Philippine Genome Center (PGC) officially opened on Monday, April 14, its Core Facility for Bioinformatics (CFB) to provide local scientists and researchers a suite of services for genome-scale data generation and analysis. IBM Philippines and DOST officials announce the launch of the Blue Gene at a forum in UP Diliman on Monday, April 14. Photo credit: Owen Cammayo At the heart of the facility is an IBM supercomputer dubbed Blue Gene, which the US-based tech giant provided to the Philippine government. The bioinformatics unit complements the next generation sequencing services being offered by the centers DNA Sequencing Core Facility (DSCF). It offers high-performance computing resources, hardware and software, needed to analyze, manage/curate, and archive massive amount of data derived from next-generation sequencing. Apart from data storage and analytics, researchers working with genomics-based technologies may also avail of the CFBs custom-made/client-focused services such as provision of software, specialized databases or technical support for varied bioinformatics analyses, and also the use and access to high-performance computing resources. The Core Facility for Bioinformatics, a part of the research project capability building in R&D genomics is now open to local researchers through the grant from the Philippine Council for Industry, Energy and Emerging … Continue reading →

PUBLIC RELEASE DATE: 11-Apr-2014 Contact: Kelly Husser khusser@faseb.org Federation of American Societies for Experimental Biology Bethesda, MD FASEB MARC (Maximizing Access to Research Careers) Program has announced the travel award recipients for the 2014 Great Lakes Bioinformatics Conference in Cincinnati, OH from May 16-18, 2014. These awards are meant to promote the entry of students, post doctorates and scientists from underrepresented groups into the mainstream of the basic science community and to encourage the participation of young scientists at the Great Lakes Bioinformatics Conference. This year MARC conferred 2 awards totaling $3,700. The FASEB MARC Program is funded by a grant from the National Institute of General Medical Sciences, National Institutes of Health. A primary goal of the MARC Program is to increase the number and competitiveness of underrepresented groups engaged in biomedical and behavioral research. The following participants have been selected to receive a FASEB MARC Travel Award: ### AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system. The rest is here: MARC travel awards announced for the 2014 Great Lakes Bioinformatics Conference … Continue reading →

individual assignment CADD-Bioinformatics tools By: Wafda Rohhimi … Continue reading →

Bioinformatics tool By: Syahida Ishak … Continue reading →

Department of Computational Medicine and Bioinformatics The U-M Department of Computational Medicine and Bioinformatics (DCM&B) was launched in January 2012. Its purpose is to create novel informatics and computationally-based methods, tools, and algorithms to extend the capabilities and results of basic and clinical research. The department consists of the Bioinformatics Graduate Program, the Center for Computational Medicine and Bioinformatics (CCMB), the Bioinformatics Core, and the National Center for Integrative Biomedical Informatics (NCIBI). DCM&B is led by Dr. Brian Athey, the department chair. - View Core Faculty The Bioinformatics Graduate Program was established as an interdepartmental program in 1998 at the University of Michigan, and enrolled its first class in 2001. The Bioinformatics Graduate Program is led by co-directors Dr. Margit Burmeister, Professor of Psychiatry and Human Genetics and Dr. Daniel M. Burns Jr., Professor of Mathematics. The program maintains a graduate student body of approximately 45 Ph.D. and Master's students combined. The U-M Center for Computational Medicine and Bioinformatics (CCMB) is a campus-wide interdisciplinary academic center with over 100 affiliated faculty members. The faculty membership of CCMB has a strong representation from diverse fields such as mathematics, computer science, and statistics, and is complemented by faculty with biological and biomedical … Continue reading →

In 10% of human tumors there is a family history of hereditary disease associated with mutations in identified genes. The best examples are the cases of polyps in the large intestine associated with the APC gene and breast cancer associated with BRCA1 and BRCA2 genes. In the remaining 90% of cases are believed to have an increased risk of developing cancer in relation to genetic variants less powerful but more often, for example, doubles the risk of having a tumor that lacks this small change, called polymorphisms. In the last decade, hundreds of studies have been conducted looking for polymorphisms associated with a greater propensity to suffer some of the most frequent human tumors. These tests, called GWAS, have found a common problem: many times the tiny genetic change observed appears to have no activity or function to explain because it is associated with more cancer. Today, an article published in Cell Reports led by Manel Esteller, Director of Epigenetics and Cancer Biology, Bellvitge Biomedical Research Institute (IDIBELL) , ICREA researcher and Professor of Genetics at the University of Barcelona, solves part of this enigma . Research shows that in one in four human tumor exist genetic polymorphisms associated with … Continue reading →

Bioinformatics i// is an interdisciplinary scientific field that develops methods for storing, retrieving, organizing and analyzing biological data. A major activity in bioinformatics is to develop software tools to generate useful biological knowledge. Bioinformatics is a distinct science from biological computation, the latter being a computer science and computer engineering subfield using bioengineering and biology to build biological computers, whereas bioinformatics simply uses computers to better understand biology. Bioinformatics is similar to computational biology and has similar aims to it but differs on scale: whereas bioinformatics works with basic biological data (e.g. DNA bases), i.e. it works on the small scale paying attention to details, computational biology is a subfield of computer science which builds large-scale general theoretical models of biological systems seeking to expand our understanding of them from an abstract point of view, just as mathematical biology does with mathematical models. Bioinformatics uses many areas of computer science, statistics, mathematics and engineering to process biological data. Complex machines are used to read in biological data at a much faster rate than before. Databases and information systems are used to store and organize biological data. Analyzing biological data may involve algorithms in artificial intelligence, soft computing, data mining, image … Continue reading →