ShRangeSim: Simulation of Single Nucleotide Polymorphism Clusters in Next-Generation Sequencing Data-Reference-Cited by-同舟云学术

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ShRangeSim: Simulation of Single Nucleotide Polymorphism Clusters in Next-Generation Sequencing Data

Published:2018-06 Issue:6 Volume:25 Page:613-622
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Boenn Markus¹²³

Affiliation:

1. Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany.

2. Department of Soil Ecology, UFZ - Helmholtz Centre for Environmental Research, Halle/Saale, Germany.

3. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0007

Reference30 articles.

1. Even small SNP clusters are non-randomly distributed: is this evidence of mutational non-independence?

2. A map of human genome variation from population-scale sequencing

3. The variant call format and VCFtools

4. Beyond Iconic Simulation

5. A comparison of tools for the simulation of genomic next-generation sequencing data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GeDi: applying suffix arrays to increase the repertoire of detectable SNVs in tumour genomes;BMC Bioinformatics;2020-02-05

2. A broad survey of DNA sequence data simulation tools;Briefings in Functional Genomics;2019-12-23

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