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Making Metabolite Identification More Efficient
Metasense combines the industry's most-comprehensive metabolic transformation prediction with efficient analysis of LC/MS analytical measurements to identify, visualize, and report chemical biotransformations.
What Makes a Good Scientist?
It’s the journey, not just the destination that counts as a scientist when conducting research.
Applying Deep Learning to Drug Discovery
Researchers train deep neural networks to predict the therapeutic use of large number of multiple drugs using gene expression data obtained from high-throughput experiments on human cell lines.
Advancing Protein Visualization
Cryo-EM methods can determine structures of small proteins bound to potential drug candidates.
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.
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Briefings in Bioinformatics
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Briefings in Bioinformatics is an international forum for researchers and educators in the life sciences. The journal publishes reviews for the users of databases and analytical tools of contemporary genetics and molecular biology and is unique in providing practical help and guidance to the non-specialist. Papers range in scope and depth, from the introductory level to specific details of protocols and analyses encompassing bacterial, plant, animal and human data.

Detailed subject areas covered by the journal include: DNA sequencing, expression profiling, alignment methods, gene expression studies, protein profiles and HMMs, metabolic and signalling pathways, structure and function prediction, mapping and microarrays.

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