Arya R. Massarat

dblp:370/4919 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-3679-0345ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
genome-wide association study
0.712023
Haptools: a toolkit for admixture and haplotype analysis · Bioinform. 2023
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics
0.712023
Haptools: a toolkit for admixture and haplotype analysis · Bioinform. 2023
Bioinformatics and computational biology › population genetics
admixture analysis
0.212023
Haptools: a toolkit for admixture and haplotype analysis · Bioinform. 2023
Bioinformatics and computational biology › statistical genetics
haplotype analysis
0.212023
Haptools: a toolkit for admixture and haplotype analysis · Bioinform. 2023
Bioinformatics and computational biology
population genetics
0.212023
Haptools: a toolkit for admixture and haplotype analysis · Bioinform. 2023

Methods — techniques the papers use, named apart from their topics

visualization · 0.7simulation · 0.7
YearPublicationVenuePosition
2023 Haptools: a toolkit for admixture and haplotype analysis
abstract
SUMMARY: Leveraging local ancestry and haplotype information in genome-wide association studies and downstream analyses can improve the utility of genomics for individuals from diverse and recently admixed ancestries. However, most existing simulation, visualization and variant analysis frameworks are based on variant-level analysis and do not automatically handle these features. We present haptools, an open-source toolkit for performing local ancestry aware and haplotype-based analysis of complex traits. Haptools supports fast simulation of admixed genomes, visualization of admixture tracks, simulation of haplotype- and local ancestry-specific phenotype effects and a variety of file operations and statistics computed in a haplotype-aware manner. AVAILABILITY AND IMPLEMENTATION: Haptools is freely available at https://github.com/cast-genomics/haptools. DOCUMENTATION: Detailed documentation is available at https://haptools.readthedocs.io. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Arya R. Massarat, Michael Lamkin, Ciara Reeve, Amy L. Williams, Matteo D'Antonio, Melissa Gymrek
Bioinform.1