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Emerging Model of Cancer
Cancer acts cooperatively, making individual decisions but acting in unison; this insight is being used to create a computer model of cancer.
Personalised Medicine: Dose by Design
Personalised medicine holds the promise of a new approach to healthcare, tailored exactly to our individual needs, as Congenica's Nick Lench discussed on a recent BBC Radio 4 programme.
Expanding Knowledge of Viral Diversity
Environmental datasets help researchers double the number of microbial phyla known to be infected by viruses.
Computers Better Predict Lung Cancer Type, Severity
Study shows automating the analysis of cancer tissue samples increases the accuracy of tumor classification and patient prognoses.
Using Big Data to Discover Potential Cancer Biomarkers
University of Hawai'i Cancer Center researchers used "Big Data" to discover potential cancer biomarkers, a panel of six long intergenic non-coding RNAs (lincRNAs), for the diagnosis of all types of cancers including lung, breast, prostate, liver and ovarian cancers.
Protecting Privacy in Genomic Databases
System helps ensure databases used in medical research will not leak patients’ personal information.
Algorithm To Find Precise Cancer Treatments For Patients Developed
The JAMMIT algorithm could help predict which patients will benefit most from chemotherapy.
Depression Genetics Insight from Crowd-Sourced Data
Genome sites liked to depression have been discovered from data shared by people who had purchased their genetic profiles online.
Detecting Hazardous Chemicals in Complex Mixtures
Researchers are pioneering a new chemical substance analyis software technique that could increase illicit substance detection.
Researchers Develop Software That Could Facilitate Drug Development
AptaTRACE can identify aptamers, potentially speed drug advancement.
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Incorporating Custom Data Tools into Compound Management Workflows to Maximize Efficiency and Minimize Errors
Travis Mathewson, Pfizer Inc, speaking at Drug Discovery and Development 2014

Recent Advancement in Mendelian Genomics and Data Management/Analysis Challenges at the Yale Center for Genome Analysis.
Shrikant Mane, Yale Center for Genome Analysis, speaking at Advances in NGS & Big Data 2014

Multiphysics Modeling in Modern Flow Chemistry
Patrick Mills, Texas A&M University, speaking at Flow Chemistry Congress 2014

Combining Computational Biology and High Content Imaging Approaches for Understanding DNA Damage and Repair
Thierry Dorval, AstraZeneca, speaking at High Content Analysis 2014

Management of Genomic Big Data in a Country-wide Collaborative Initiative for Rare Disease Gene Finding.
Joaquin Dopazo, Centro De Investigacion Principe Felipe, speaking at Advances in NSG & Big Data 2014

Lessons Learned from Implementing a National Infrastructure in Sweden for Storage and Analysis of Next-generation Sequencing Data
Ola Spjuth, Uppsala University, speaking at Advances in NGS & Big Data 2014

From Complete Catalogs to "Actionable" Shortlists: Integrative Analysis of Next-generation Sequencing Data in Cancer Research
Han Liang, The University of Texas MD Anderson Cancer Center, speaking at Genomics Research 2013.

BioAssay Ontology (BAO) and the LINCS Information FramEwork (LIFE) to Integrate and Analyze Diverse High Throughput and Cellular Profiling Assay Data
Stephan Schurer, University of Miami, speaking at European Lab Automation 2013.

Library Design for Tackling Protein-protein Interactions: The 2P2I Approach
Dr Philippe Roche, CNRS, speaking at Discovery Chemistry Congress 2013.

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