Multilocus consensus genetic maps (MCGM): Formulation, algorithms, and results-Reference-Cited by-同舟云学术

Multilocus consensus genetic maps (MCGM): Formulation, algorithms, and results

Published:2006-02 Issue:1 Volume:30 Page:12-20
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Mester D.I.,Ronin Y.I.,Korostishevsky M.A.,Pikus V.L.,Glazman A.E.,Korol A.B.

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference43 articles.

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1. Fast and Accurate Construction of Ultra-Dense Consensus Genetic Maps Using Evolution Strategy Optimization;PLOS ONE;2015-04-13

2. ALLMAPS: robust scaffold ordering based on multiple maps;Genome Biology;2015-01-13

3. A noise-aware method for building radiation hybrid maps;Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics;2014-09-20

4. Reliable Radiation Hybrid Maps: An Efficient Scalable Clustering-Based Approach;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2014-09-01

5. Two-Phase Analysis in Consensus Genetic Mapping;G3 Genes|Genomes|Genetics;2012-05-01