The koala genome, published today, identifies powerful anti-bacterials in milk that protect the baby koala from disease – and may provide humans with the next generation of antibiotics.
Data is at the heart of applicable genomics. As the volume and depth of genomic data grows, bioinformaticians are translating the data into interpretable patterns leading to new biological insight.
The “Born in Guangzhou Cohort Study” is looking to recruit 50,000 baby-mother sets by 2020. Since 2012, 1.6 million samples have been collected for the project and the some of the first findings have been published.
New research suggests that the level of testosterone in an adult man is largely determined by the stress they encounter during their childhood, challenging the idea that testosterone production is controlled by genetics.
European genetics blockchain company, DNAtix, have announced the pilot of their blockchain-based infrastructure and ecosystem for genetic testing, services and research.
By analysing more than 125 existing datasets, researchers have revealed that DIP-seq, one of the most widely used methods in epigenetics research, commonly detected DNA sequences that did not have any epigenetic marks.
Our faces can reveal a lot about us, and now scientists are revealing a lot about faces. Research into the genetics that shapes the face has made tremendous advances in recent years.
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.
A survey of people who have taken part in clinical trials indicates that participants care more about the benefits to science than the risk of sharing their personal data.
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.