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The graph-based tools will allow researchers to query large datasets and identify defining patterns of variation across cancer types and subtypes.
Under the partnership, the University of Miami will provide samples and Berg will analyze them using its Interrogative Biology platform.
PrediXcan combines gene expression-level information with trait data to predict which genes likely play a role in heritable diseases and observed phenotypes.
The researchers compared five programs used to call variants from pooled sequence data evaluating them in terms of run times, memory usage, sensitivity, and specificity.
The method detects somatic copy number alterations in whole-exome datasets without requiring input from users and irrespective of sequencing platform.
CiViC provides a communal forum for capturing and sharing written summaries, drawn from published literature, about the clinical relevance of mutations found in cancer.
The firm plans to launch several products based on its proprietary machine learning method for identifying variants that alter cellular biochemistry and cause disease.
The ISCB is currently mulling offering an industry track at ISMB, providing training workshops and internships for students, and more.
The method uses a probabilistic approach to mine drug structure, side effects, and genomic and clinical data to identify new drug targets and mechanisms of action.
SQream's first product for the space is based on its database technology and provides tools for storing and analyzing genomic sequence data.
Master's and doctoral students in the UK call on funding groups to extend their grants for the duration of the disruption caused by the COVID-19 outbreak, the Guardian reports.
Squid can make edits to their RNA within the cytoplasm of their axons, Science News reports.
The Chan Zuckerberg Initiative is putting $25 million toward COVID-19 treatment research, according to the Verge.
In Science this week: researchers engineer version of Cas9 that is nearly PAM-less, and more.