Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.
Scientists have built a new, comprehensive AutoML platform designed for biologists with little to no ML experience. New automated machine learning platform enables easy, all-in-one analysis, design, ...
Traditionally, phylogeny and sequence alignment are estimated separately: first estimate a multiple sequence alignment and then infer a phylogeny based on the sequence alignment estimated in the ...
“Initiatives like MetaGraph and the adoption of Standard ST.26 represent a concerted effort to harness global biological sequence data through innovative computational approaches.” In a recent ...
WATERTOWN, Mass.--(BUSINESS WIRE)--Dyno Therapeutics today announced a collaboration with NVIDIA to leverage Dyno’s field-leading artificial intelligence (AI) and in vivo experimentation capabilities, ...
Although machine learning (ML) and other artificial intelligence tools are useful to analyze the massive amounts of data being generated by sequencing technologies, most ML tools are difficult for non ...
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