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

BMC Bioinformatics - United Kingdom
doi 10.1186/s12859-017-1537-8
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

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

PLoS ONE
Multidisciplinary
2013English

Targeted Therapy According to Next Generation Sequencing-Based Panel Sequencing

Fukushima Journal of Medical Sciences
Medicine
2018English

Filtering Next-Generation Sequencing of the Ig Gene Repertoire Data Using Antibody Structural Information

Journal of Immunology
AllergyImmunology
2018English

A Scalable and Accurate Targeted Gene Assembly Tool (SAT-Assembler) for Next-Generation Sequencing Data

PLoS Computational Biology
Molecular NeuroscienceEvolutionEcologyGeneticsBehaviorMolecular BiologySystematicsSimulationCellularComputational TheoryMathematicsModeling
2014English

Mutation Analysis of Nine Chordoma Specimens by Targeted Next-Generation Cancer Panel Sequencing

Journal of Cancer
Oncology
2015English

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

Outcomes of Next-Generation Sequencing Panel Testing for Primary Immunodeficiency

Journal of Allergy and Clinical Immunology
AllergyImmunology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy