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Gene Expression Controls Revealed
Researchers have modelled every atom in a key part of the process for switching on genes, revealing a whole new area for potential drug targets.
Making Genetic Data Easier to Search
Scripps team streamlines biomedical research by making genetic data easier to search.
Monovar Drills Down Into Cancer Genome
Rice, MD Anderson develop program to ID mutations in single cancer cells.
It’s Now Easier To Go With The Flow
Rice University tool simplifies comparison of flow cytometry data for laboratories.
Making Precision Medicine a Reality
Researchers are one step closer to understanding the genetic and biological basis of diseases like cancer, diabetes, Alzheimer’s and rheumatoid arthritis – and identifying new drug targets and therapies.
New Database for Sharing MS Clinical Trial Data
A new database containing nearly 2500 patient records from the placebo arms of nine multiple sclerosis (MS) clinical trials is now available for research by qualified investigators.
‘Precision Prevention’ for Colorectal Cancer
New risk prediction model — not yet ready for clinical use — incorporates genetic, lifestyle and environmental risk factors.
Characterizing Cancerous Genomic Variations
Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function.
Uncovering Hidden Genomic Alterations that Drive Cancers
Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function.
Spotting DNA Repair Genes Gone Awry
Ludwig researchers develop a two-pronged approach for identifying genes responsible for fixing DNA damage that can trigger cancer when compromised.
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Algorithms for Molecular Biology
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Algorithms for Molecular Biology is an open access, peer-reviewed online journal that encompasses all aspects of algorithms and software tools for molecular biology and genomics. Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms. Visit following link to get access of latest articles.

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