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Citations per year

Number of citations per year for the bioinformatics software tool FastEPRR
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This map represents all the scientific publications referring to FastEPRR per scientific context
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FastEPRR specifications

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Unique identifier OMICS_25113
Name FastEPRR
Alternative name Fast Estimation of Population Recombination Rates
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input format FASTA,CLUSTAL,phylip
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Hai-Peng Li

Publication for Fast Estimation of Population Recombination Rates

FastEPRR citations

 (3)
library_books

Supervised Machine Learning for Population Genetics: A New Paradigm

2018
PMCID: 5905713
PMID: 29331490
DOI: 10.1016/j.tig.2017.12.005

[…] e training set. By contrast, methodology has been developed [,] that uses boosting to infer recombination rate maps from large sample sizes on the basis of simulated training data. The latest method, FastEPRR (fast estimation of population recombination rates), has much greater computational efficiency than, and equal accuracy to, the widely used LDhat []. Although application of supervised ML met […]

library_books

Construction of an ultrahigh density genetic linkage map for Jatropha curcas L. and identification of QTL for fruit yield

2018
Biotechnol Biofuels
PMCID: 5759280
PMID: 29321812
DOI: 10.1186/s13068-017-1004-9

[…] d on nonlinear regression model considering the r2 value = 1 at marker genetic distance of 0 cM to determine the trend of LD decay in Jatropha genomes. Recombination rate analysis was evaluated using FastEPRR with the nonoverlapped sliding window length of 5 cM []. […]

library_books

Population Genomics Reveals Speciation and Introgression between Brown Norway Rats and Their Sibling Species

2017
Mol Biol Evol
PMCID: 5850741
PMID: 28482038
DOI: 10.1093/molbev/msx157

[…] To obtain local recombination rate of different regions across the BN rat genome, we performed recombination rate analysis using a machine learning approach implemented in FastEPRR with the nonoverlapped sliding window length of 100 ; ). The local recombination rate was estimated based on the intraspecific DNA polymorphism data of whole BN rat population according to th […]


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FastEPRR institution(s)
CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
FastEPRR funding source(s)
Supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB13040800), the National Natural Science Foundation of China (no. 91531306), and the 973 project (no. 2012CB316505).

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