Google
 

Quote of the Day

feel free to comment...


List of Grad Schools - Bioinformatics

Arizona State University Tempe, Arizona
•MS in Computational Biosciences

Boston University Boston, Massachusetts
•Bioinformatics Graduate Program; MS, PhD

Brandeis University's Rabb School of Summer and Continuing Studies Waltham, Massachusetts
•MS in Bioinformatics
•Graduate Certificate in Bioinformatics

Carnegie Mellon University Pittsburgh, Pennsylvania
•Merck Computational Biology and Chemistry Program; BS, MS, PhD tracks

Columbia University New York, New York
•Medical Informatics; MS, PhD

Duke University Durham, North Carolina
•Center for Bioinformatics and Computational Biology; Postdoctoral, Certificate, PhD

Florida State University Tallahassee, FL
Biomedical Mathematics; MS, PhD

George Mason University Fairfax, Virginia
•PhD in Computational Sciences and Informatics
•PhD in Bioinformatics
•MS in Bioinformatics
•MNPS in Bioinformatics, Biotechnology, and Forensic Biosciences

Georgetown University Washington, D.C.
•Biotechnology and Bioinformatics; MS track

Georgia Institute of Technology Atlanta, Georgia
•Bioinformatics; BS, MS, PhD tracks
•MS in Bioinformatics
•PhD in Bioinformatics

Harvard-MIT Division of Health Sciences and Technology Cambridge, Massachusetts
•Bioinformatics and Integrative Genomics; PhD track

Indiana University School of Informatics Bloomington, Indiana
•BS in Informatics
•MS in Bioinformatics
•MS in Chemical Informatics

International Bioinformatics and Computational Biology Programs From the Web site of the International Society for Computational Biology, a listing of universities worldwide that offer degrees in bioinformatics and computational biology.

Iowa State University Ames, Iowa
•Interdisciplinary PhD Program in Bioinformatics and Computational Biology; MS, PhD

Johns Hopkins University Baltimore, Maryland
•Program in Computational Biology; PhD track

Keck Graduate School Claremont, Southern California
•MS in Bioscience

Marquette University Milwaukee, Wisconsin
•Special Interdisciplinary Major/Minor (Dept. of Mathematics, Statistics, and Computer Science); BS
•Bioinformatics Graduate Program (with the Medical College of Wisconsin and UW Parkside); MS

McGill University Montreal, Canada
•Centre for Bioinformatics; BS minor; proposed MS and PhD

Medical College of Wisconsin Milwaukee, Wisconsin
•Bioinformatics Graduate Program; MS

Montana State University Bozeman, Montana
•Center for Computational Biology; MS, PhD track

New Jersey Institute of Technology Newark, New Jersey
•MS in Computational Biology
•PhD in Computational Biology

North Carolina State University Raleigh, North Carolina
•Statistical Genetics and Bioinformatics
•PhD in Bioinformatics
•Master of Bioinformatics
•Program in Statistical Genetics

Northeastern University Boston, Massachusetts
•Bioinformatics Essentials Graduate Certificate
•Graduate Certificate in Pharmacogenetics

Northern Illinois University DeKalb, Illinois
•Bioinformatics Specialization and Certificate; MS, Certificate

Oregon Health & Science University Portland, Oregon
•Medical Informatics; MS

Rensselaer Polytechnic Institute Troy, New York
•Interdisciplinary Program in Bioinformatics and Molecular Biology; BS, MS, PhD

Rice Universityfs Keck Center for Computational Biology Houston, Texas
•An Integrated Training Program: Bioinformatics and Computational Biology Training Program, and Computational Biology Research Training Program; PhD track

Rochester Institute of Technology Rochester, New York
•Bioinformatics and Biotechnology Programs; BS, MS

Rutgers University Camden, New Jersey
•Graduate Studies in Computational Molecular Biology; PhD

Stanford University Stanford, California
•Biomedical Informatics; MS, PhD
•Bioinformatics Certificate

University of California, Davis Davis, California
•Graduate Program in Medical Informatics; MS
•Designated Emphasis in Biotechnology; PhD
•Summer Short Courses in Bioinformatics and Proteomics

University of California, Irvine Irvine, California
•Informatics in Biology and Medicine; MS and PhD track

University of California, San Diego San Diego, California
•Interdisciplinary Bioinformatics Program; PhD
•Certificate in Bioinformatics

University of California, San Francisco San Franciso, California
•Graduate Program in Biological and Medical Informatics; MS, PhD

University of California, Santa Cruz Santa Cruz, California
•Program in Bioinformatics; BS; Proposed MS and PhD

University of Colorado at Denver Denver, Colorado
•Center for Computational Biology; Certificate, MS, PhD

University of Illinois, Chicago Chicago, Illinois
•Bioinformatics; BS, MS, PhD

University of Massachusetts, Lowell Lowell, Massachusetts
•Bioinformatics; BS, MS, PhD

University of Medicine and Dentistry of New Jersey Newark, New Jersey
• Graduate Programs in Biomedical Informatics; PhD, MS, MSN, certificate

University of Memphis Memphis, Tennessee
•Masters Degree Concentration in Bioinformatics
  
University of Michigan Ann Arbor, Michigan
•Bioinformatics; MS, PhD

University of Minnesota Twin Cities, Minnesota
•Graduate Program in Bioinformatics; MS and PhD minor

University of Nebraska, Omaha Omaha, Nebraska
•Bioinformatics; MS and PhD track

University of New South Wales Sydney, Australia
•BS in Engineering (Bioinformatics)

University of Pennsylvania Philadelphia, Pennsylvania
•Computational Biology; BS, MS, PhD track

University of Southern California Los Angeles, California
•MS in Computational Molecular Biology
•Computational Biology and Bioinformatics; PhD track

University of Texas, Austin Austin, Texas
•Graduate Program in Cell & Molecular Biology, with specialized track in Bioinformatics; PhD track

University of Texas, El Paso El Paso, Texas
•Bioinformatics; MS

University of the Sciences in Philadelphia Philadelphia, Pennsylvania
•Bioinformatics; BS, MS

University of Washington Seattle, Washington
•Biomedical and Health Informatics; MS; PhD and certificates proposed
•Computational Molecular Biology; PhD track

University of Waterloo Ontario, Canada
•Bioinformatics; BS, MS, PhD

University of Wisconsin Madison, Wisconsin
•Biostatistics and Medical Informatics; MS, PhD
•Graduate Certificate/Capstone Certificate in Bioinformatics; Certificate programs for graduate and post-doctoral students

Vanderbilt University Nashville, Tennessee
•Graduate Program in Biomedical Informatics; MS, PhD

Virginia Polytechnic Institute and State University Blacksburg, Virginia
•Graduate Options in Bioinformatics; MS and PhD track

Washington University in Saint Louis
Saint Louis, Missouri
•Computational Biology; PhD

Friday, April 28, 2006

Systems Biology: the 21st Century Science

Systems biology is the study of an organism, viewed as an integrated and interacting network of genes, proteins and biochemical reactions which give rise to life. Instead of analyzing individual components or aspects of the organism, such as sugar metabolism or a cell nucleus, systems biologists focus on all the components and the interactions among them, all as part of one system. These interactions are ultimately responsible for an organism´s form and functions. For example, the immune system is not the result of a single mechanism or gene. Rather the interactions of numerous genes, proteins, mechanisms and the organism´s external environment, produce immune responses to fight infections and diseases.

Systems biology emerged as the result of the genetics "catalog" provided by the Human Genome project, and a growing understanding of how genes and their resulting proteins give rise to biological form and function.

A traditional approach to studying biology and human health has left us with a limited understanding of how the human body operates, and how we can best predict, prevent, or remedy potential health problems. Biologists, geneticists, and doctors have had limited success in curing complex diseases such as cancer, HIV because traditional biology generally looks at only a few aspects of an organism at a time.

The individual function and collective interaction of genes, proteins and other components in an organism are often characterized together as an interaction network. Indeed, understanding this interplay of an organism´s genome and environmental influences from outside the organism (nature and nurture) is crucial to developing a — systems — understanding of an organism that will ultimately transform our understanding of human health and disease.Systems biology is still in its infancy; we are at the turning point in our understanding of what the future holds for biology and human medicine.

Friday, April 14, 2006

Pharmacogenomics and personalized medicine: mapping of future value creation

People have been talking about personalized medicine, to a point that it almost gets old. Some are firm believers in this revolution and are actively devoting effort to advance it, others wonder whether this is yet another hype, and yet many others may have an impression that, as promising a future as it paints, it may only become reality in another lifetime.Personalized medicine addresses current unfilled needs in the healthcare world by calling for the right treatment for the right individual at the right time. In current drug therapeutics world, it is widely observed that a drug doesn't work for all the patients all of the time. Drugs do not have the desired outcome in 30%–40% of patients, blockbuster drugs are often efficacious in 40%–60% of the patients, and it is not unusual to see chemotherapy working for only 30% of cancer patients (from industry expert interviews, the American Medical Association. In addition, drugs can at times cause adverse drug reactions (ADRs), with some more severe than others.
There are different levels of variation among individuals that could account for the varying outcomes of drug therapy, such as patients' different drug absorption, distribution, metabolism, and excretion (ADME) profiles measurable at organ, tissue, or cellular levels and more fundamental differences at molecular levels, [i.e., analyses of protein, RNA (gene expression analysis), and DNA (genotyping)]. Genotyping and gene expression analysis are current key component technologies of pharmacogenomics (PGx) that currently serves as the major driving force for the personalized medicine revolution.
PERSONALIZED MEDICINE: WHEN WILL IT HAPPEN?

Friday, April 07, 2006

Nanoarrays


Scientists have developed a new type of protein array for studying interactions between proteins and other molecules on an extremely small scale. Size is what sets these arrays apart—they are built on a nano-scale (one nanometer equals one-billionth of a meter). The arrays are coated surfaces containing proteins that can be exposed to other proteins and structures in order to study their interactions.
"The ability to make protein nanoarrays on a surface with well-defined feature size, shape, and spacing should increase the capabilities of researchers studying the fundamental interactions between biological structures (cells, complementary proteins, and viruses) and surfaces patterned with proteins," the researchers write in Science Express. Chad A. Mirkin, of Northwestern University in Evanston, Illinois, led the research.

The method used to create the protein nanoarrays is called dip-pen lithography. This technique involves using an instrument to modify the surface of the arrays, which is a type of gold film. The dip-pen lithography allows researchers to create high-resolution patterns on the surface, thereby giving the arrays their sensitivity.

In a related study, Mirkin and two colleagues at Northwestern's Institute for Nanotechnology developed a new method of detecting small amounts of DNA in a solution. The method relies on an electrical current to indicate the presence of complementary strands of DNA. When complementary DNA strands bind, gold nanoparticles form a bridge that conducts an electric signal. A photographic solution containing silver can be added to further amplify the signal.

Blog abt CANCER






Some important links to quench your thirst for knowledge in bioinformatics


Biological Databases



Online Visualization Tools

Online Programes

Tools

  • J-Express , a tool for analysing microarray gene expression data
  • Clustal W , multiple sequence alignment
  • Phylip , phylogenetic analysis.
  • Pratt , pattern discovery.
  • GCG , Wisconsin Sequence Analysis Package Program Manual.
  • PROPHET , UNIX based software package for data analysis.
  • RasMol , free program which displays molecular structures.
  • MolScript , program for creating molecular graphics in the form of PostScript plot files.
  • PairWise and SearchWise , Ewan Birney's excellent tools for sequence alignment and search.
  • MEME , Multiple EM for Motif Elicitation

Bioinformatics Sites



Your Ad Here

Papers

Courses in Computational Biology

Advanced Papers

Journals

Related Sites

Links




Powered by