Evidence map›Paper›PMID 42213768›Full record

ArticleSTAR protocols2026

Orobas: A computational approach for scoring and analysis of quantitative chemical-genetic interactions from CRISPR-Cas9 screens.

Arshia Z Hassan, Xiang Zhang, Henry N Ward, Maximilian Billmann, Salem Bajjali, Kevin R Brown, Urvi Bhojoo, Katherine Chan, Kevin Lin, Michael Costanzo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Arshia Z HassanDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Xiang ZhangDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Henry N WardDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Graduate Program in Bioinformatics and Computational Biology (BICB), University of Minnesota, Minneapolis, MN 55455, USA.
Maximilian BillmannDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, 53127 Bonn, Germany.
Salem BajjaliDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Kevin R BrownProgram in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Urvi BhojooDonnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Katherine ChanProgram in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Kevin LinDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Graduate Program in Bioinformatics and Computational Biology (BICB), University of Minnesota, Minneapolis, MN 55455, USA.
Michael CostanzoDonnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada.
Brenda AndrewsDonnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Charles BooneDonnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; RIKEN Center for Sustainable Resource Science, Wako, Saitama 351-0198, Japan; Canadian Institute for Advanced Research (CIFAR), Toronto, ON M5G 1M1, Canada.
Jason MoffatProgram in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Institute for Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.
Chad L MyersDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Graduate Program in Bioinformatics and Computational Biology (BICB), University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: chadm@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present Orobas, a computational approach for transforming raw read count data from CRISPR-Cas9 chemical-genetic screens into quantitative interaction scores. We describe steps for computing differential interaction scores with statistical tests that account for multiple CRISPR guides per gene. We then outline approaches for post-processing differential log

Indexed as

Computational BiologyCRISPR-Cas SystemsSoftwareBioinformaticsComputer sciencesCRISPR

Identifiers

PMID42213768
PMCPMC13241716

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.