Comparison of Read Mapping and Variant Calling Tools for the Analysis of Plant NGS Data

doi 10.1101/2020.03.10.986059
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Cold Spring Harbor Laboratory

Related search

Changepoint Analysis for Efficient Variant Calling

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

A Short Tutorial in Analyzing NGS Data of Cancer Genomes for Somatic Mutation Calling

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2013English

FASTQSim: Platform-Independent Data Characterization and in Silico Read Generation for NGS Datasets

BMC Research Notes
BiochemistryMedicineGeneticsMolecular Biology
2014English

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

PLoS ONE
Multidisciplinary
2013English

NGS-Logistics: Data Infrastructure for Efficient Analysis of NGS Sequence Variants Across Multiple Centers

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2015English

Kart: A Divide-And-Conquer Algorithm for NGS Read Alignment

Bioinformatics
StatisticsProbabilityMolecular BiologyBiochemistryComputational TheoryComputer Science ApplicationsMathematicsComputational Mathematics
2017English

Systematic Comparison of Variant Calling Pipelines Using Gold Standard Personal Exome Variants

Scientific Reports
Multidisciplinary
2015English

Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology

International Journal of Environment and Geoinformatics
2019English

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