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Alexandra D'yan

dblp:426/0974 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › epigenomics
3d genomics
0.912025
AQuA Tools: clear and reliable BEDPE operations for 3D genomics · Bioinform. 2025
Bioinformatics and computational biology › genomics › genomic interval analysis
genomic interval operations
0.912025
AQuA Tools: clear and reliable BEDPE operations for 3D genomics · Bioinform. 2025
Bioinformatics and computational biology
genomics
0.912025
AQuA Tools: clear and reliable BEDPE operations for 3D genomics · Bioinform. 2025
Bioinformatics and computational biology
genome annotation
0.312025
AQuA Tools: clear and reliable BEDPE operations for 3D genomics · Bioinform. 2025

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

contact matrix · 0.9BEDPE · 0.9
YearPublicationVenuePosition
2025 AQuA Tools: clear and reliable BEDPE operations for 3D genomics
abstract
MOTIVATION: The genome interacts with itself within the volume of the cell nucleus to process information. These interactions mediate signal integration, gene regulation, and cell identity. The identification of new therapeutic targets from non-coding disease-associated variants relies critically on correctly assigning variants to genes through 3D interactions. Experimental techniques in 3D genomics, such as HiC and HiChIP, allow the mapping of interactions through sequencing. Bioinformatics for 3D genomics contends primarily with contact matrices that contain interaction frequencies for all possible element pairs, and BEDPE files that store element pairs that interact. Whereas the tools available for processing linear genomic data are mature, operating on contact matrices and BEDPE files remains cumbersome, opaque, and error-prone, as researchers have had to shoehorn tools originally designed for linear data. A genome arithmetic designed from the ground up for 3D genomics does not yet exist. RESULTS: We present AQuA Tools, a suite of shell- and R-based command-line tools that provide a set of core operations on contact matrices and BEDPE files motivated by key questions in population genetics, cancer research, and precision medicine. We have designed our core operations to be clear, reliable, intuitive and versatile. Core operations can be chained together along with standard UNIX commands. Our goal is to make AQuA Tools easy for the novice to learn and the go-to choice for power users. We hope our tools will motivate more researchers to use 3D genomic data in their projects. AVAILABILITY AND IMPLEMENTATION: We provide and maintain AQuA Tools at https://github.com/axiotl/aqua-tools.
Maharshi Chakraborty, Laura Morgan, Quin Scacheri, Alexandra D'yan, Yaw Asante, Diana Chin, Olivia Corradin, Peter C. Scacheri, Richard Cowper-Sallari, Berkley E. Gryder
Bioinform.4