Data science×Genetics
This pair ranks in the top 0.1% of every collision candidate in the corpus. Across held-out years, pairs scoring that well went on to co-publish at 10.0× the base rate, typically within 2 years.
The Frontier Brief for this collision is still being written. The evidence below already reflects the current model run.
Pre-company space. No named players have staked this collision yet — an emerging pairing where the field, not a firm, is the story so far.
36 researchers publish on both sides of this collision without the fields themselves having met. Every name below is counted from papers in the corpus — not inferred.
- Jennifer A. DoudnaSalk Institute for Biological Studies1/14
- Caixia GaoUniversity of Copenhagen1/11
- Jacob E. CornETH Zurich1/4
- John G. DoenchSt. Jude Children's Research Hospital1/3
- Christopher A. VoigtNortheastern University1/3
- Adam P. ArkinBrookhaven National Laboratory1/2
- Yi ZhangUniversity of Copenhagen1/2
- Isaac B. HiltonUniversity of Basel1/2
- Juergen A. KnoblichETH Zurich1/2
- Vincent NoireauxNational Institute of Standards and Technology2/1
- Harvard UniversityUS45/202
- Massachusetts Institute of TechnologyUS42/139
- Stanford UniversityUS47/115
- University of California, BerkeleyUS41/85
- Broad InstituteUS18/175
- University of California, San FranciscoUS24/119
- Cryo-EM in drug discovery: achievements, limitations and prospects2018 · 479 citations · DOI ↗2
- Twelve years of SAMtools and BCFtools2021 · 16,577 citations · DOI ↗1
- The Perseus computational platform for comprehensive analysis of (prote)omics data2016 · 9,022 citations · DOI ↗1
- A survey of transfer learning2016 · 6,261 citations · DOI ↗1
Counted from the corpus. Institution counts use best-effort affiliation (every author on a paper is paired with every institution on it), so read them as presence, not headcount.
A premium Deep-Dive is being generated for this collision — check back soon.