Joint Variant and De Novo Mutation Identification on Pedigrees from High-Throughput Sequencing Data-Reference-Cited by-同舟云学术

Joint Variant and De Novo Mutation Identification on Pedigrees from High-Throughput Sequencing Data

Published:2014-06 Issue:6 Volume:21 Page:405-419
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Cleary John G.¹,Braithwaite Ross¹,Gaastra Kurt¹,Hilbush Brian S.²,Inglis Stuart³,Irvine Sean A.¹,Jackson Alan¹,Littin Richard³,Nohzadeh-Malakshah Sahar²,Rathod Mehul¹,Ware David¹,Trigg Len¹,De La Vega Francisco M.²

Affiliation:

1. Real Time Genomics, Ltd., Hamilton, New Zealand.

2. Real Time Genomics, Inc., San Bruno, California.

3. NetValue, Ltd., Hamilton, New Zealand.

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.2014.0029

Reference28 articles.

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

2. An integrated map of genetic variation from 1,092 human genomes

3. Accurate and comprehensive sequencing of personal genomes

4. A public resource facilitating clinical use of genomes

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