June 22, 2022

An illustration of SeqScreen's workflow (A) and the machine learning training framework (B)

An article published in the journal “Genome Biology” reports the results of tests conducted with SeqScreen, a free / open source software developed to recognize genetic sequences existing in pathogenic microorganisms. A team of researchers led by computer scientist Todd Treangen of Rice University and genomics specialist Krista Ternus of the scientific consultancy firm Signature Science, LLC developed SeqScreen to analyze the characteristics of short DNA sequences often called oligonucleotides and improve the recognition techniques of sequences present in a sample that are at least potentially dangerous.