Thanks to a newly developed computational method, researchers can accurately predict how one subpopulation of cells can be converted into another.
As the volume and depth of genomic data grows, bioinformaticians are translating genomic data into interpretable patterns leading to new biological insight.
Are you the next person to sign up for the Clinical Sciences (Bioinformatics) Programme?
Researchers at Caltech have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: Correctly identifying handwritten numbers.
China’s government is prioritising world-class science and tech. An expert describes the Chinese research landscape – and questions its sustainability.
Cancer Research UK Cambridge Institute is pushing for the use of genetic testing to transform treatment of breast cancer with the Personalised Breast Cancer Programme.
The Large Scale Genomics Work Stream of the GA4GH has announced 8 new implementations of its htsget protocol, a standard for accessing large-scale genomic sequencing data online without using file transfers.
Researchers have developed a new method for correcting the errors that creep into DNA barcodes, yielding far more accurate results and paving the way for more ambitious medical research in the future.
To understand the biology of diseased organs, researchers can use different types of molecular data. One of the biggest computational challenges at the moment is integrating these multiple data types.
Computational researchers have developed a computer program which has revealed a previously unknown combination of drugs that may be the answer to triple-negative breast cancer.
Probably not. But there is an increasing demand for people with data and computing skills, and the life sciences sector in California may be losing the battle with Silicon Valley for those people.