EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality is a research paper published in BMC Bioinformatics (2021). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
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Base Score Contribution
0.208
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 →National Science Foundation
Grant: 1144726
IGERT: Systems Biology of Cells in Engineered Environments (SBE2)
National Science Foundation
Grant: 1412365
A Platform for the CHO Biomanufacturing Systems Biology Community
National Science Foundation
Grant: 1736123
RII Track-2 FEC: Advanced Biomanufacturing: Catalyzing Improved Host Development and High Quality Medicines through Genome to Phenome Predictions
National Institutes of Health
Grant: GM103446
NIGMS NIH HHS
Grant: P20 GM103446
National Institutes of Health
Grant: 5P20GM103446-15
Bioinformatics Core
FWCI
0.15
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality
Additional file 1 of EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality
Additional file 2 of EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality
Additional file 2 of EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality
EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality
EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality