Read Length Distribution Analysis
Read Length Distribution Analysis is a quality control metric in sequence analysis that characterizes the variability and composition of nucleotide read lengths within a sequencing dataset to assess sequencing performance and potential biases.
23
Publications
1.5K
Citations
141
Authors
63
Institutions
Publications per year
2017–2026
10
Parents
23
PBSIM: PacBio reads simulator—toward accurate genome assembly
Yukiteru Ono, Kiyoshi Asai, Michiaki Hamada · Bioinformatics · 2012 · 401 citations · Full text
NanoSim: nanopore sequence read simulator based on statistical characterization
Chen Yang, Justin Chu, René L. Warren et al. · GigaScience · 2017 · 279 citations · Full text
SimLoRD: Simulation of Long Read Data
Bianca K. Stöcker, Johannes Köster, Sven Rahmann · Bioinformatics · 2016 · 106 citations · Full text
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The University of Tokyo
Tokyo, Japan
2 h-index
16 publications
1.7K citations

University of British Columbia
Vancouver, Canada
2 h-index
6 publications
921 citations
Simon Fraser University
Burnaby, Canada
2 h-index
2 publications
307 citations
Pacific Biosciences (United States)
Menlo Park, United States
2 h-index
19 publications
669 citations
Stanford University
Stanford, United States
2 h-index
3 publications
137 citations
Feinstein Institute for Medical Research
Manhasset, United States
1 h-index
2 publications
58 citations
Hebrew University of Jerusalem
Jerusalem, Israel
1 h-index
1 publications
66 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
7 publications
203 citations
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5 publications · 580 citations
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3 publications · 115 citations
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2 publications · 308 citations
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Repository · 2 publications · 51 citations
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1 publications · 20 citations
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