Real-time mapping of nanopore raw signals is a research paper published in Bioinformatics (2021). On theSindex it has a DataRank of 0.631. It has been cited 66 times.
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Base Score Contribution
0.631
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 →US National Science Foundation
Grant: CCF-1816027
National Human Genome Research Institute
Grant: R01HG010040
National Institutes of Health
Grant: R01HG008759
National Institutes of Health
Grant: 5R01HG010040-07
Advanced computational methods in analyzing high-throughput sequencing data
National Institutes of Health
Grant: 5R01HG008759-06
Bioinformatics platform for Hybrid-Seq transcriptome data analysis
National Science Foundation
Grant: 1816027
AF: Small: Algorithmic Techniques for High-throughput Analysis of Long Reads
FWCI
4.96
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Flexible and efficient handling of nanopore sequencing signal data with slow5tools
Additional file 1 of Flexible and efficient handling of nanopore sequencing signal data with slow5tools
Additional file 2 of Flexible and efficient handling of nanopore sequencing signal data with slow5tools
Additional file 2 of Flexible and efficient handling of nanopore sequencing signal data with slow5tools
Additional file 1 of A survey of mapping algorithms in the long-reads era
Additional file 1 of A survey of mapping algorithms in the long-reads era
Additional file 2 of A survey of mapping algorithms in the long-reads era
Additional file 2 of A survey of mapping algorithms in the long-reads era