A framework for the detection of de novo mutations in family-based sequencing data
Published 2016 View Full Article
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Title
A framework for the detection of de novo mutations in family-based sequencing data
Authors
Keywords
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Journal
EUROPEAN JOURNAL OF HUMAN GENETICS
Volume 25, Issue 2, Pages 227-233
Publisher
Springer Nature
Online
2016-11-23
DOI
10.1038/ejhg.2016.147
References
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Related references
Note: Only part of the references are listed.- Genome-wide patterns and properties of de novo mutations in humans
- (2015) Laurent C Francioli et al. NATURE GENETICS
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- An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge
- (2014) Catherine A Brownstein et al. GENOME BIOLOGY
- DeNovoGear: de novo indel and point mutation discovery and phasing
- (2013) Avinash Ramu et al. NATURE METHODS
- Whole-Genome Sequencing in Autism Identifies Hot Spots for De Novo Germline Mutation
- (2012) Jacob J. Michaelson et al. CELL
- Patterns and rates of exonic de novo mutations in autism spectrum disorders
- (2012) Benjamin M. Neale et al. NATURE
- Rate of de novo mutations and the importance of father’s age to disease risk
- (2012) Augustine Kong et al. NATURE
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- A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data
- (2011) H. Li BIOINFORMATICS
- Assemblathon 1: A competitive assessment of de novo short read assembly methods
- (2011) D. Earl et al. GENOME RESEARCH
- Variation in genome-wide mutation rates within and between human families
- (2011) Donald F Conrad et al. NATURE GENETICS
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- (2011) Mark A DePristo et al. NATURE GENETICS
- Variation in the mutation rate across mammalian genomes
- (2011) Alan Hodgkinson et al. NATURE REVIEWS GENETICS
- Fast and accurate long-read alignment with Burrows–Wheeler transform
- (2010) Heng Li et al. BIOINFORMATICS
- The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
- (2010) A. McKenna et al. GENOME RESEARCH
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