activity
20192026
most citedTechnology dictates algorithms: Recent developments in read alignment

155 citations · 168 across the 18 of their papers we have counts for

collaborators

19 papers

q-bio.GN2026

FASTR: Reimagining FASTQ via Compact Image-inspired Representation

Adrian Tkachenko, Sepehr Salem, Ayotomiwa Ezekiel Adeniyi +7

Motivation: High-throughput sequencing (HTS) enables population-scale genomics but generates massive datasets, creating bottlenecks in storage, transfer, and analysis. FASTQ, the s…

q-bio.OT2025

Challenges and Recommendations in Establishing National Human Diversity Genomic Projects

Taras K. Oleksyk, Walter W. Wolfsberger, Karishma Chhugani +38

Genomic approaches have revolutionized medical research, providing valuable insights into human physiology and disease. Despite major benefits from large collections of genomes, th…

cs.DB2025

A decentralized future for the open-science databases

Gaurav Sharma, Viorel Munteanu, Nika Mansouri Ghiasi +18

Continuous and reliable access to curated biological data repositories is indispensable for accelerating rigorous scientific inquiry and fostering reproducible research. Centralize…

cs.DL2024★ 2 cited

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies

Yu-Ning Huang, Michael I. Love, Cynthia Flaire Ronkowski +13

Metadata, often termed "data about data," is crucial for organizing, understanding, and managing vast omics datasets. It aids in efficient data discovery, integration, and interpre…

q-bio.GN2023

MetaTrinity: Enabling Fast Metagenomic Classification via Seed Counting and Edit Distance Approximation

Arvid E. Gollwitzer, Mohammed Alser, Joel Bergtholdt +5

Metagenomics, the study of genome sequences of diverse organisms cohabiting in a shared environment, has experienced significant advancements across various medical and biological…

q-bio.GN2023

SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences

Maximilian-David Rumpf, Mohammed Alser, Arvid E. Gollwitzer +5

Computational complexity is a key limitation of genomic analyses. Thus, over the last 30 years, researchers have proposed numerous fast heuristic methods that provide computational…