LanceOtron: a deep learning peak caller for genome sequencing experiments is a research paper published in Bioinformatics (2022). On theSindex it has a DataRank of 0.587. It has been cited 49 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
Base Score Contribution
0.587
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βNational Institutes of Health
Grant: R24DK106766
Medical Research Council
Grant: MC_UU_12025
Medical Research Council
Grant: MC_UU_00016/14
Gene regulation by distal regulatory elements in Erythropoiesis and the effect of natural sequence variants.
Wellcome Trust
Grant: 106130/Z/14/Z
Medical Research Council
Grant: MC_UU_00016/4
Medical Research Council
Grant: G1000801
Medical Research Council
Grant: MC_UU_12009/4
Medical Research Council
Grant: G0902418
Medical Research Council
Grant: MC_U137961145
Medical Research Council
Grant: MR/M00919X/1
Medical Research Council
Grant: MR/T014067/1
Medical Research Council
Grant: G1000801j
Academy of Medical Sciences
Grant: GCRFNG\100164
Medical Research Council
Grant: MC_UU_00029/3
Medical Research Council
Grant: MC_EX_MR/R023301/1
Medical Research Council
Grant: MC_U137961147
Medical Research Council
Grant: G1000801b
Medical Research Council
Grant: G1000801e
Medical Research Council
Grant: MC_PC_14131
Medical Research Council
Grant: MC_PC_15069
Medical Research Council
Grant: MC_U137961144
Medical Research Council
Grant: MC_UU_00016/12
Medical Research Council
Grant: MC_UU_00021/1
Medical Research Council
Grant: 1377798
Medical Research Council
Grant: MC_UU_12009/13
Medical Research Council
Grant: MR/K01577X/1
Wellcome Trust
Grant: 106130
A systematic approach to understanding the biology underpinning GWAS hits.
National Institutes of Health
Grant: 5R24DK106766-02
VISION: ValIdated Systematic IntegratiON of epigenomic data
FWCI
3.53
Citation Percentile
0.9%
Citation Trend
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