Skip to main content

Computer turns detective in the hunt for novel pathogens

A computational technique that finds foreign gene sequences in human tissues could identify pathogens that cause chronic diseases.

Written byVicki Glaser
| 4 min read

Register for free to listen to this article
Listen with Speechify
0:00
4:00

ALLENTOWN, PA — The potential for rapid discovery of new, disease-causing microbes, is on the horizon with successful results from a study with a new computerized technique — computational subtraction — that uses DNA matching to isolate and identify microbial gene sequences.

Computational subtraction is an in silico approach that takes advantage of the nearly completed DNA sequence of the human genome, made available through the Human Genome Project. By subtracting out the full complement of human DNA sequences from DNA libraries derived from human tissues, researchers at the Dana-Farber Cancer Institute and Harvard Medical School found they were left with a small number of DNA sequences, presumably of nonhuman origin. They could then search these sequences for evidence of microbial genes, and establish possible links between previously unknown organisms and human disease.

Senior author Matthew Meyerson and colleagues described the computational subtraction method — and how they used it ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to more than 35 years of archives, as well as TS Digest, digital editions of The Scientist, feature stories, and much more!
Already a member?
Add The Scientist as a preferred source on Google

Add The Scientist as a preferred Google source to see more of our trusted coverage.

Meet the Author

Related articles background image
August 2026 Digest cover
August 2026

Epic Fail: Sea-Monkeys Sabotage Fieldwork

When Barry Hicks set out to photograph thrombolites, thousands of unexpected visitors photobombed his underwater images.

View this Issue
Improving rAAV Production for Viral Vector Manufacturing

Improving rAAV Production for Viral Vector Manufacturing

cytiva logo
Advancing Respiratory Immunity Through Tissue-Resident Memory T Cell Research

Advancing Respiratory Immunity Through Tissue-Resident Memory T Cell Research

Miltenyi
Overcoming Immunotherapy Resistance in Liver Cancer

Overcoming Immunotherapy Resistance in Liver Cancer

Axion Biosystems
Optimizing NGS Library Preparation for Reliable Sequencing Data

Optimizing NGS Library Preparation for Reliable Sequencing Data

Covaris

Products

Sino Biological Logo

Sino Biological Launches European Newsletter Campaign with Exclusive Welcome Gifts

Sino Biological Logo

Sino Biological Launches SuperNuclease ® Pro with Free Trial Program

Sino Biological Logo

Sino Biological Launches Precisely Characterized Full-Length p-Tau217 Protein to Advance Next-Generation Alzheimer’s Biomarker Assay Development

A photo of a scientist placing the Resipher device on a 96-well plate.

Resipher: Continuous Live-Cell Mitochondrial Respiration Monitoring in 96-Well Plates

Lucid Scientific logo