AI algorithms, such as machine learning (ML) and deep learning (DL), are used in genomic analysis to process and interpret large amounts of genetic data.

However, looking beyond those data that relate directly to genomic sequence, bioinformatics is less well equipped to help understand gene function.

The samples’ DNA was sequenced, followed by bioinformatics processing that helped to filter out known human and microbial DNA, and to assemble the then unknown SARS-CoV-2 genomic sequence.

Artificial intelligence tools predict DNA's regulatory role and 3D structure Sequence modeling algorithms could eventually lead to new ways to fight diseases caused by genetic mutations Date ...

In this interview, News-Medical speaks to Dr. Rong Lu about her recent research into the development of a new genetic technology for gene expression analysis of cancer cells.

DANGER analysis is open-source and freely adjustable. So the algorithm of this pipeline could be repurposed for the analysis of various genome editing systems beyond the CRISPR-Cas9 system.