Home
  • About
  • Archive
  • Contact
  • Subscribe
BIOSURVEILLANCE: From Text-mining to Freakidemiology

Researchers are expanding the types of data that can be used to predict infectious disease spread; developing novel ways to analyze that data; and trying to create systems that can help address public health problems today

American officials are seeking better ways to anticipate public health crises following ten years that have seen outbreaks of SARS, avian flu, H1N1, West Nile virus, cholera and, most recently,...
biosurveillance
Apr, 01, 2011
Automating Literature Surveillance
Today, if researchers want to study complex relationships among genes, diseases and drugs, they have to hope that human curators have read the scientific literature, extracted the relevant...
Apr, 01, 2016
Genetic Variants and Ill Health: Scanning 500,000 SNPs Yields Gene-Disease Connections

It's an exhilarating time for genome-wide association studies

For the past few months it seemed you couldn’t open a journal without reading results of a new genome-wide association study. The results kept pouring in: four studies in April showing seven...
Oct, 01, 2007
Taking on the Exposome

How bioinformatics tools are bringing insight to the environmental side of the health equation

When it comes to what kills people, Nurture trumps Nature: Chronic diseases with overwhelmingly environmental (rather than genetic) causes are responsible for the deaths of two-thirds of the world...
Exposome
Nov, 01, 2016
Unlocking the Genetics of Complex Diseases: GWAS and Beyond

Building upon the clues provided by GWAS to gain new insights

Some diseases, such as cystic fibrosis, have a beautiful simplicity: A genetic misspelling cripples a protein, which profoundly and predictably alters the body. Find the faulty gene for these so-...
Jan, 12, 2015
Text Mining: How the BD2K Centers are Making Knowledge Accessible

State-of-the-art approaches are a boon to biomedicine

Relevant NIH Institutes:  NHGRI, NIBIB, NLM, and all disease-focused institutes including NCI, NHLBI, NIDDK, NINDS, NIAID, and NIAMS   Since the 1960s, biologists have manually curated...
Jun, 21, 2017
Network Biology: Converging on Answers to Complex Diseases

Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases

To parents, the symptoms of autism can seem to appear from out of the blue during a child's first few years of life. But in recent years, researchers have shown that genes involved in the...
Nov, 17, 2017
Canonicity and Disease Ontologies
Ontologies provide biomedical researchers with an inventory of the universal features of reality across organisms, biomedical disciplines, and levels of granularity. In capturing what is universal,...
Jul, 01, 2009
Genomic Sequencing: Overcoming Challenges to a Bright Future
Whole genome sequencing (WGS) and whole exome sequencing (WES), which sequences only the protein-coding regions of the genome, have already begun to transform clinical medicine. They are being used...
Jun, 18, 2014
Taking the leap: from single genes to the molecular choreography of the cell
The Human Genome Project has spurred extraordinary developments in our ability to characterize cellular systems in high-throughput fashion. Polymorphism, methylation, gene expression, and proteomics...
Apr, 01, 2008
  •  
  • 1 of 19
  • ››

SHARE THIS

  • Tweet
  • Email

POPULAR ARTICLES

Vertex Classification in Graphs

How can they help us understand proteins?

06/20/13 by Jose Lugo-Martinez and Predrag Radivojac, PhD

Big Data Analytics In Biomedical Research

Can the complexities of biology be boiled down to Amazon.com-style recommendations?  The examples here suggest possible pathways to an intelligent healthcare system with big data at its core.

01/02/12 by Katharine Miller

Automating Scientific Discovery

A robot that develops hypotheses of its own

07/01/09 by Beth Skwarecki

Popular Tags

DATA MINING  visualization

genomics  SIMULATION neuroscience

biomechanics Systems Biology

DRUG DISCOVERY Cancer DNA

Molecular Dynamics bioinformatics

SUBSCRIBE TO

RSS Feed
Subscribe to Print Edition
Subscribe to Table of Contents
mobilize logo

Supported by the Mobilize Center,
a National Institutes of Health
Big Data to Knowledge (BD2K)
Center of Excellence
(Grant U54EB020405).

Stanford University
James H. Clark Center S271
318 Campus Drive,
MC: 5448
Stanford, CA 94305-5448

  • About
  • Archive
  • Contact
  • Subscribe