ArticlebioRxiv : the preprint server for biology2023
Amr M Alexandari, Connor A Horton, Avanti Shrikumar, Nilay Shah, Eileen Li, Melanie Weilert, Miles A Pufall, Julia Zeitlinger, Polly M Fordyce, Anshul Kundaje
Open access · greenAbstract readPreprint
In one paragraphArticle in bioRxiv : the preprint server for biology, 2023. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 9 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors at 4 institutions in 2 countries.
Amr M AlexandariDepartment of Computer Science, Stanford University, Stanford, CA 94305.
Connor A HortonDepartment of Genetics, Stanford University, Stanford, CA 94305.
Avanti ShrikumarDepartment of Earth System Science, Stanford University, Stanford, CA 94305.
Nilay ShahStowers Institute for Medical Research, Kansas City, MO, USA.
Eileen LiDepartment of Genetics, Stanford University, Stanford, CA 94305.
Melanie WeilertStowers Institute for Medical Research, Kansas City, MO, USA.
Miles A PufallDepartment of Biochemistry, Carver College of Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Julia ZeitlingerStowers Institute for Medical Research, Kansas City, MO, USA.
Polly M FordyceDepartment of Genetics, Stanford University, Stanford, CA 94305.
Anshul KundajeDepartment of Computer Science, Stanford University, Stanford, CA 94305.
Stanford University · USStowers Institute for Medical Research · USChan Zuckerberg Initiative (United States) · USUniversity of Iowa · US
Funding
A Comprehensive Genomic Community Resource of Transcriptional RegulationU24HG012343 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Anshul Kundaje, Zhiping Weng · 2022 to 2026
$4.6MPredicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory codeU01HG012069 · NHGRI · STANFORD UNIVERSITY · PI Anshul Kundaje · 2021 to 2026
$3.9MDecoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5MNHGRI NIH HHS U01 HG009431NHGRI NIH HHS U01 HG012069NHGRI NIH HHS U24 HG012343
6 · The paper itselfAbstract
Transcription factors (TF) are proteins that bind DNA in a sequence-specific manner to regulate gene transcription. Despite their unique intrinsic sequence preferences,
Indexed as
binding affinitydeep learninggene regulationhigh-throughput binding assaysprotein-DNA bindingTranscription factors
Identifiers
PMID37214836
PMCPMC10197627
OpenAlexW4376280271
What OpenQuestion holds
Textmetadata
LicenceCC BY
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