Motivation Accurate detection, genotyping and downstream analysis of genomic variants from high-throughput sequencing data are fundamental features in modern production …
Many bioinformatics methods seek to reduce reference bias, but no methods exist to comprehensively measure it. Biastools analyzes and categorizes instances of reference …
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 …
Accurately benchmarking small variant calling accuracy is critical for the continued improvement of human whole genome sequencing. In this work, we show that current …
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 …
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 …
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 …
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 …
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 …