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Construction of Practical Haplotype Graph (PHG) with the Whole-Genome Sequence Data

OAR@ICRISAT

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Relation http://oar.icrisat.org/12640/
https://link.springer.com/protocol/10.1007/978-1-0716-2067-0_15
https://doi.org/10.1007/978-1-0716-2067-0_15
 
Title Construction of Practical Haplotype Graph (PHG) with the Whole-Genome Sequence Data
 
Creator Ruperao, P
Gandham, P
Rathore, A
 
Subject Data Management
Data & Analytics
Genetics and Genomics
 
Description With the emerging sequencing technologies and cost reduction, the sequence data generation has accelerated from a single individual to multiple (thousands of) individuals of a species. The terabytes of sequence data generated from thousands of individuals include the majority of the redundant sequence which depends on the level of sequence similarity within the population of individuals. Managing large datasets and creating the unique catalogue sequence from such a large population is challenging to analyze, store, and retrieve the information. In this chapter, we discuss the practical haplotype graph (PHG) which addresses the above said challenges and also able to retrieve required information such as variants and sequences more efficiently, which enable researchers to manage and assess large genomic data.
 
Publisher Humana
 
Contributor Edwards, D
 
Date 2022-01-16
 
Type Book Section
PeerReviewed
 
Identifier Ruperao, P and Gandham, P and Rathore, A (2022) Construction of Practical Haplotype Graph (PHG) with the Whole-Genome Sequence Data. In: Plant Bioinformatics Methods in Molecular Biology. Methods in Molecular Biology, 3 (2443). Humana, New York, pp. 273-284. ISBN 978-1-0716-2067-0