Best practices for benchmarking germline small-variant calls in human genomes

P Krusche, L Trigg, PC Boutros, CE Mason… - Nature …, 2019 - nature.com
Standardized benchmarking approaches are required to assess the accuracy of variants
called from sequence data. Although variant-calling tools and the metrics used to assess …

NGSEP3: accurate variant calling across species and sequencing protocols

D Tello, J Gil, CD Loaiza, JJ Riascos, N Cardozo… - …, 2019 - academic.oup.com
Motivation Accurate detection, genotyping and downstream analysis of genomic variants
from high-throughput sequencing data are fundamental features in modern production …

Measuring, visualizing, and diagnosing reference bias with biastools

MJ Lin, S Iyer, NC Chen, B Langmead - Genome Biology, 2024 - Springer
Many bioinformatics methods seek to reduce reference bias, but no methods exist to
comprehensively measure it. Biastools analyzes and categorizes instances of reference …

Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials

JM Zook, J McDaniel, H Parikh, H Heaton, SA Irvine… - BioRxiv, 2018 - biorxiv.org
Benchmark small variant calls from the Genome in a Bottle Consortium (GIAB) for the
CEPH/HapMap genome NA12878 (HG001) have been used extensively for developing …

vcfdist: accurately benchmarking phased small variant calls in human genomes

T Dunn, S Narayanasamy - Nature Communications, 2023 - nature.com
Accurately benchmarking small variant calling accuracy is critical for the continued
improvement of human whole genome sequencing. In this work, we show that current …

Probably correct: rescuing repeats with short and long reads

M Cechova - Genes, 2020 - mdpi.com
Ever since the introduction of high-throughput sequencing following the human genome
project, assembling short reads into a reference of sufficient quality posed a significant …

Bioinformatics workflows for genomic variant discovery, interpretation and prioritization

OU Sezerman, E Ulgen, N Seymen… - Bioinformatics tools for …, 2019 - books.google.com
Next-generation sequencing (NGS) techniques allow high-throughput detection of a vast
amount of variations in a cost-efficient manner. However, there still are inconsistencies and …

[HTML][HTML] Principles and recommendations for standardizing the use of the next-generation sequencing variant file in clinical settings

IM Lubin, N Aziz, LJ Babb, D Ballinger, H Bisht… - The Journal of Molecular …, 2017 - Elsevier
A national workgroup convened by the Centers for Disease Control and Prevention
identified principles and made recommendations for standardizing the description of …

Alternate-locus aware variant calling in whole genome sequencing

M Jäger, M Schubach, T Zemojtel, K Reinert… - Genome Medicine, 2016 - Springer
Background The last two human genome assemblies have extended the previous linear
golden-path paradigm of the human genome to a graph-like model to better represent …

Improving variant calling using population data and deep learning

NC Chen, A Kolesnikov, S Goel, T Yun, PC Chang… - BMC …, 2023 - Springer
Large-scale population variant data is often used to filter and aid interpretation of variant
calls in a single sample. These approaches do not incorporate population information …