RefSeq: expanding the Prokaryotic Genome Annotation Pipeline reach with protein family model curation is a research paper published in Nucleic Acids Research (2020). On theSindex it has a DataRank of 1.0. It has been cited 1,078 times.
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Base Score Contribution
1.0
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.
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FWCI
38.32
Citation Percentile
1.0%
Influential Citations
60
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 12 of Developing a bioinformatics pipeline for comparative protein classification analysis
Additional file 12 of Developing a bioinformatics pipeline for comparative protein classification analysis
Additional file 1 of Developing a bioinformatics pipeline for comparative protein classification analysis
Additional file 1 of Developing a bioinformatics pipeline for comparative protein classification analysis
Additional file 1 of To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131
Additional file 1 of To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131
Additional file 2 of To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131
Additional file 2 of To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131
Additional file 4 of To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131
Additional file 4 of To kill or to be killed: pangenome analysis of Escherichia coli strains reveals a tailocin specific for pandemic ST131
Additional file 1 of Sketching and sampling approaches for fast and accurate long read classification
Additional file 1 of Sketching and sampling approaches for fast and accurate long read classification
Additional file 1 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 1 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 2 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 2 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 3 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 3 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 4 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei
Additional file 4 of Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei