Genuity Science, a genomics and data-sourcing, analytics and insights organization, today announced that it has been named a winner in the 2021 BIG Innovation Awards presented by the Business...
Read More »AI methods of analysing social networks find new cell types in tissue
In situ sequencing enables gene activity inside body tissues to be depicted in microscope images. To facilitate interpretation of the vast quantities of information generated, Uppsala University researchers have now developed an entirely new method of...
Read More »Predicting splicing from primary sequence with deep learning
The splicing of pre-mRNAs into mature transcripts is remarkable for its precision, but the mechanisms by which the cellular machinery achieves such specificity are incompletely understood. Illumina scientists...
Read More »Machine learning meets genome assembly
With the recent advances in DNA sequencing technologies, the study of the genetic composition of living organisms has become more accessible for researchers. Several advances have been achieved because of it, especially in the health sciences. However, many challenges which ...
Read More »Researchers use AI, RNA-Seq to unlock the secrets of the genome
Every nine minutes, someone in the US dies from blood cancer which accounts for about 10 percent of all cancer deaths. And, every three minutes, one person in the US is diagnosed with a blood cancer — about 170,000 people ...
Read More »Envisagenics closes $2.35M seed round and launches SpliceCore Platform for identifying RNA targets from splicing errors
Envisagenics, Inc., a biotechnology company that applies Artificial Intelligence to the genetic sequence of patients to discover new therapies, announced today that is has raised $2.35M in its seed round. The investors include Third Kind Venture Capital (3KVC), Cosine, LLC ...
Read More »Putting machine learning and artificial intelligence to work for correction of sequence-specific bias in RNA-Seq data
The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. ...
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