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Julia I. Qüesta

dblp:426/4569 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-0462-8423ORCID · reported

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.812024
quaqc: efficient and quick ATAC-seq quality control and filtering · Bioinform. 2024
Bioinformatics and computational biology › sequence analysis › sequencing data analysis
read filtering
0.812024
quaqc: efficient and quick ATAC-seq quality control and filtering · Bioinform. 2024

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

scaling implementation · 0.8
YearPublicationVenuePosition
2024 quaqc: efficient and quick ATAC-seq quality control and filtering
abstract
SUMMARY: "quaqc" allows for ATAC-seq-specific quality control and read filtering of NGS data with minimal processing time and extremely low memory overhead. An efficient scaling implementation allows for a wide range of use cases, from processing individual samples processed on personal laptops to handling thousands of samples processed in parallel on compute clusters. The helper R package "quaqcr" allows for interactive program execution and exploration of results. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are freely available for download from https://github.com/bjmt/quaqc and https://github.com/bjmt/quaqcr under the GPLv3 license. "quaqc" is implemented in C and has been tested on both macOS and Linux. The "quaqcr" helper package only requires the R programming language. Fixed versions of the programs and code associated with this manuscript can be found at https://zenodo.org/records/13833437.
Benjamin Jean-Marie Tremblay, Julia I. Qüesta
Bioinform.2