Analysis of combinatorial CRISPR screens with the Orthrus scoring pipeline is a research paper published in Nature Protocols (2021). On theSindex it has a DataRank of 0.556. It has been cited 17 times, with 7 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.434
From this paper's citation signal
Citation Network Contribution
0.123
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Science Foundation
Grant: 1818293
Large-scale mapping of genetic interactions across diverse cell types
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01HG005084
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01HG005853
U.S. Department of Health & Human Services | National Institutes of Health
Grant: T32GM008347
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Grant: P300PA_164667
Gouvernement du Canada | Canadian Institutes of Health Research
Grant: FDN-148434
Gouvernement du Canada | Canadian Institutes of Health Research
Grant: MOP-142375
Genome Canada
Grant: OGI-157
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Institutes of Health
Grant: 2T32GM008347-16A1
Training for Future Biotechnology Development
National Institutes of Health
Grant: 1R01HG005853-01
Mapping the reference genetic network of a eukaryotic cell
Swiss National Science Foundation
Grant: 164667
Identification of genetic networks required for reprogramming of cancer cells in response to metabolic stress using next-generation CRISPR-Cas9 screens
National Institutes of Health
Grant: 5R01HG005084-03
Computational Strategies for Quantitative Mapping of Genetic Interaction Networks
Fields of Study
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