Back to search

Article

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model

2024-06-22

Abstract excerpt

Pathogen identification is pivotal in diagnosing, treating, and preventing diseases, crucial for controlling infections and safeguarding public health. Traditional alignment-based methods, though widely used, are computationally intense and reliant on extensive reference databases, often failing to detect novel pathogens due to their low sensitivity and specificity. Similarly, conventional machine learning techniq...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2e11ea7d-a230-52f9-b161-bc8fa85a69f0
DOI
10.1101/2024.06.18.599629
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation ModelDOI 10.1101/2024.06.18.599629
Select a neighboring publication to make it the new centre.