activity
20162026
most citedTechnology dictates algorithms: Recent developments in read alignment

155 citations · 1k across the 40 of their papers we have counts for

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Showing q-bio.GNShow all

18 papers · 1 filter

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.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…

q-bio.GN2023★ 2 cited

RawAlign: Accurate, Fast, and Scalable Raw Nanopore Signal Mapping via Combining Seeding and Alignment

Joël Lindegger, Can Firtina, Nika Mansouri Ghiasi +3

Nanopore sequencers generate raw electrical signals representing the contents of a biological sequence molecule passing through the nanopore. These signals can be analyzed directly…

q-bio.GN2022★ 12 cited

TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering

Meryem Banu Cavlak, Gagandeep Singh, Mohammed Alser +6

Basecalling is an essential step in nanopore sequencing analysis where the raw signals of nanopore sequencers are converted into nucleotide sequences, i.e., reads. State-of-the-art…

q-bio.GN2022

Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis

Mohammed Alser, Joel Lindegger, Can Firtina +5

We now need more than ever to make genome analysis more intelligent. We need to read, analyze, and interpret our genomes not only quickly, but also accurately and efficiently enoug…