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| Computational Biology→Resources: News |
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News
- November 21, 2019In a first for cell biology, scientists observe ribosome assembly in real time
A team of scientists from Scripps Research and Stanford University has recorded in real time a key step in the assembly of ribosomes—the complex and evolutionarily ancient “molecular machines” that make proteins in cells and are essential for all life forms.
- Oct 1, 2019Using Machine Learning to Decode Complex Diseases
Ideally, this research will give biologists a list of certain genes that Yannakopoulos and others are confident relate to different diseases. From there, biologists will be able to use that information to determine how those genes correlate with complex conditions.
- June 10, 2019Computational Tool for Single-Cell Transcriptomics Reveals Gene Network Plasticity
A team of investigators at the National Centre for Genomic Analysis (CNAG-CRG) in Barcelona has developed a new computational tool, based on the mathematical Graph theory, to infer global, large-scale regulatory networks, from healthy and pathological organs, such as those affected by diabetes or Alzheimer’s disease.
- JAN 25, 2019Scientists demonstrate effective strategies for safeguarding CRISPR gene-drive experiments
“This will be important for large-scale cage experiments aimed at improving our understanding of the expected population dynamics of candidate drives. Ultimately, this understanding will be crucial for discussing the feasibility and risks of releasing successful drives into the wild, for example to reduce malaria and other vector-borne diseases.”
- February 20, 2018New Software helps detect adaptive genetic mutations
Researchers from Brown University have developed a new method for sifting through genomic data in search of genetic variants that have helped populations adapt to their environments. The technique, dubbed SWIF(r), could be helpful in piecing together the evolutionary history of people around the world, and in shedding light on the evolutionary roots of certain diseases and medical conditions.
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