A Fully Automated Pipeline for Quantitative Genotype Calling From Next Generation Sequencing Data in Autopolyploids

BMC Bioinformatics - United Kingdom
doi 10.1186/s12859-018-2433-6
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A Generalized Watterson Estimator for Next-Generation Sequencing: From Trios to Autopolyploids

Theoretical Population Biology
EvolutionEcologySystematicsBehavior
2015English

Review of 12 Months of Copy Number Variant Calling on a Clinical Next Generation Sequencing Pipeline

Pathology
Forensic MedicinePathology
2020English

Coval: Improving Alignment Quality and Variant Calling Accuracy for Next-Generation Sequencing Data

PLoS ONE
Multidisciplinary
2013English

A Machine Learning Pipeline for Quantitative Phenotype Prediction From Genotype Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2010English

CFSAN SNP Pipeline: An Automated Method for Constructing SNP Matrices From Next-Generation Sequence Data

PeerJ Computer Science
Computer Science
2015English

An Integrated SNP Mining and Utilization (ISMU) Pipeline for Next Generation Sequencing Data

PLoS ONE
Multidisciplinary
2014English

Next Generation Sequencing in Big Data

International Journal of Trend in Scientific Research and Development
2018English

Assembly Algorithms for Next-Generation Sequencing Data

Genomics
Genetics
2010English

GATK Hard Filtering: Tunable Parameters to Improve Variant Calling for Next Generation Sequencing Targeted Gene Panel Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy