Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads is a research paper published in Nature Methods (2021). On theSindex it has a DataRank of 0.872. It has been cited 333 times.
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Base Score Contribution
0.872
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 →U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: U41HG010972
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: R01HG010485
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: U01HG010961
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: OT2OD026682
National Institutes of Health
Grant: 1U01HG010961-01
The construction and utility of reference pan-genome graphs
National Institutes of Health
Grant: 3OT2OD026682-01S1
Comprehensive, Flexible and FAIR Tools for the HuBMAP HIVE
National Institutes of Health
Grant: 5U41HG010972-02
The WashU-UCSC-EBI Human Genome Reference Center
National Institutes of Health
Grant: 1R01HG010485-01A1
Enabling Comparative Pangenomics
FWCI
17.38
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
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Additional file 1 of GBA1 in Parkinson’s disease: variant detection and pathogenicity scoring matters
Additional file 1 of Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP
Additional file 1 of Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP
Additional file 1 of Genomic variant benchmark: if you cannot measure it, you cannot improve it
Additional file 1 of Genomic variant benchmark: if you cannot measure it, you cannot improve it
Additional file 1 of Performance analysis of conventional and AI-based variant callers using short and long reads
Additional file 1 of Performance analysis of conventional and AI-based variant callers using short and long reads
Additional file 2 of Performance analysis of conventional and AI-based variant callers using short and long reads
Additional file 2 of Performance analysis of conventional and AI-based variant callers using short and long reads
Additional file 5 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 5 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 7 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 7 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 6 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 6 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 2 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 4 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 4 of Detecting haplotype-specific transcript variation in long reads with FLAIR2
Additional file 1 of Detecting haplotype-specific transcript variation in long reads with FLAIR2