A Google-like search engine for single-cell RNA data could answer previously impossible questions
Imagine doctors could understand exactly which cells caused a patient's cancer or whether pathogens contributed to the disease. They could then use the information to tailor a treatment plan to the patient's specific cancer. But answering such questions would mean wading through data from thousands of experiments locked in massive databases around the globe. Moreover, the search would take at least several days.
Phys.org
Published by CurrentWire · First coverage
Compiled by CurrentWire News Desk
Summary based on reporting from Phys.org.

Automated coverage analysis
Generated automatically from the coverage listed on this page. CurrentWire adds no editorial claims.
Coverage
1 publication is covering this story.
How CurrentWire compiled this story
Phys.org (phys.org), a Tier B publisher, filed this report on . CurrentWire published this page 1 minute later, on .
Signal breakdown
CurrentWire ranked this story 61.5 of 100 in the snapshot this page was rendered from.
- Freshness
- 32 of 35
- Source authority
- 14 of 20
- Coverage breadth
- 4 of 20
- Geographic relevance
- 3.5 of 10
- Story prominence
- 8 of 10
- Velocity
- 0 of 5
Strongest signal: freshness, 32 of 35. How each signal is calculated.
Filed under General · International · News.
CurrentWire is a news discovery platform. This page summarizes and links to original reporting; full articles, imagery and copyright remain with the publishers listed above.