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

PLoS ONE - United States
doi 10.1371/journal.pone.0075402
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

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

Improved Variant Discovery Through Local Re-Alignment of Short-Read Next-Generation Sequencing Data Using SRMA

Genome Biology
2010English

Empirical Evaluation of Variant Calling Accuracy Using Ultra-Deep Whole-Genome Sequencing Data

Scientific Reports
Multidisciplinary
2019English

QPLOT: A Quality Assessment Tool for Next Generation Sequencing Data

BioMed Research International
ImmunologyMolecular BiologyBiochemistryMicrobiology MedicineGenetics
2013English

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

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2018English

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

Pathology
Forensic MedicinePathology
2020English

Assembly Algorithms for Next-Generation Sequencing Data

Genomics
Genetics
2010English

Evaluating Alignment and Variant-Calling Software for Mutation Identification in C. Elegans by Whole-Genome Sequencing

PLoS ONE
Multidisciplinary
2017English

Improving Bioinformatic Pipelines for Exome Variant Calling

Genome Medicine
Molecular MedicineGeneticsMolecular Biology
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy