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 →

Research Online databases Forums News & Commentary Jobs Forum (Career Center) Bulletin Board Molecular visualization Latest announcements April 29-May 1, 2014 (ceremony on the 30th) Bio-IT World Conference & Expo, World Trade Center, Boston, MA, USA http://www.bio-itworldexpo.com/ Prof. Helen Berman of Rutgers University has been selected as the laureate of the 2014 Benjamin Franklin Award for Open Access in the Life Sciences! In the words of her nominators: Helen Berman (http://chem.rutgers.edu/berman_helen_m) was a champion for open access to scientific information at a time when the concept of data sharing was in its infancy. For nearly five-decades she has been committed to ensuring that the Protein Data Bank (PDB) archive has been a resource created by the community and for the community. As head of the Research Collaboratory for Structural Bioinformatics (RCSB), Helen became the Director of the PDB in 1998 and developed the RCSB PDB into a vital and key resource for biology and education (http://rcsb.org). In 2003, she formed the Worldwide PDB with groups in the UK and Japan to ensure that a single PDB archive continues to be freely and publicly available to the global community (http://wwpdb.org). Her passion for making structural data accessible and understandable by a … Continue reading →

From Bioinformatics.Org Wiki Bioinformatics has been defined many different ways, since practitioners do not always agree upon the scope of its use within the biological and computer sciences, but it is always considered a combination of both sciences, along with other contributing disciplines. It is debatable whether bioinformatics and the discipline computational biology, literally "biology that involves computation," are the same or distinct. To some, both bioinformatics and computational biology are defined as any use of computers for processing any biologically-derived information, whether DNA sequences or breast X-rays. Therefore, there are other fields, e.g. medical imaging / image analysis, that might be considered part of bioinformatics. This would be the broadest definition of the term. But, in practice, the definition used by most people is even narrower; bioinformatics to them is a synonym for computational molecular biology: any use of computers to characterize the molecular components of living things. To others, bioinformatics is a grammatical contraction of "biological informatics" and is therefore related to the computer science disciplines of information science and/or information technology. This definition would thus emphasize the information contained within the biological data, also implying that large amounts of data would be managed and/or analyzed. Most biologists … Continue reading →

Johns Hopkins University offers an innovative graduate degree program that prepares students for success in the field of bioinformatics. Drawing upon the strengths of the Johns Hopkins Biotechnology and Engineering, the program creates a rigorous bioinformatics curriculum that brings together the computer science, biosciences and bioinformatics disciplines. Course Locations Baltimore, MD; Rockville, MD; Online Available 100% Online Yes. Entry Terms Fall, Spring or Summer semester Degree Requirements 11 courses The Johns Hopkins MS in Bioinformatics program will immerse you in the topics and applied methods of computational modeling, molecular biology, systems biology, structural biology, proteomics, genomic sequencing and genomic analysis, microarrays and microarray analysis. As a graduate with the MS in Bioinformatics, youll have the educational foundation to interpret complex biological information, perform analysis of sequence data using sophisticated bioinformatics software, and program software when needed. The degree covers not only the theoretical aspects of the field, but also the practical side of bioinformatics. And its taught through by the Hopkins faculty members who are actively developing these exciting new technologies. Designed for working adults, the program offers courses online and onsite. You can even complete the degree entirely online. Onsite courses are taught during evenings or weekends at either … Continue reading →

Professional Science Master - Bioinformatics Northeastern Universitys Professional Science Master (PSM) degree program in Bioinformatics and Computational Biology provides cross-disciplinary training in biology, computer science, and informational technology for todays cutting-edge jobs in the biotechnology and pharmaceutical industries. The degree includes additional training and demonstrated competence in both life sciences and scientific programming. The program is structured to provide students with the skills and knowledge to develop, evaluate, and deploy bioinformatics and computational biology applications. The program is designed to prepare students for employment in the biotechnology sector, where the need for knowledgeable life scientists with quantitative and computational skills has exploded in the past decade. The curriculum consists of six core courses in bioinformatics, 12 semester hours of electives in any of the three disciplines, and a professional co-op internship with leading industry and academic partners. Students can enroll in the program on a full or part-time basis. Evening courses are offered to accommodate working professionals.The Professional Science Masters degree program in Bioinformatics and computational molecular biology is a professional program that is offered in Boston and Seattle. During the fall semester on the Boston campus, core classes are offered on campus or online. Come spring, Boston offers courses … Continue reading →

San Francisco, California (PRWEB) April 08, 2014 The global market for bioinformatics is expected to reach USD 12.48 billion by 2020, according to a new study by Grand View Research, Inc. Rapidly declining prices of DNA sequencing, growing adoption rates of bioinformatics as a cost effective tool for database management during clinical trials, increasing government initiatives encouraging the use of bioinformatics in drug discovery and the use of bioinformatics tools in emerging fields such as chemogenomics are some of the factors expected to drive market growth over the next six years. In addition, the introduction of advance technologies such as nanopore and cloud computing are expected to serve this market as future growth opportunities. The report Bioinformatics Market Analysis And Segment Forecasts To 2020, is available now to Grand View Research customers at http://www.grandviewresearch.com/industry-analysis/bioinformatics-industry. Inquiry before buying at http://www.grandviewresearch.com/inquiry/10. Bioinformatics platform products are expected to dominate the market, along with being the fastest growing segment, at an estimated CAGR of 22.8% from 2014 to 2020. The increasing demand for these platforms in technologically advanced processes such as high throughput screening for combination therapies namely pharmacogenomics and pharmacoproteomics is expected to serve this market as drivers during the forecast period. Global … Continue reading →