Swiftly identifying strongly unique k-mers

Authors

Jens Zentgraf (ORCID: https://orcid.org/0000-0001-9444-2755)
Sven Rahmann (ORCID: https://orcid.org/0000-0002-8536-6065)

Institutions

Saarland University (DE)

Publication Details

Journal: Algorithms for Molecular Biology
Published: 2025-07-13
DOI: https://doi.org/10.1186/s13015-025-00286-6
Citations: 2
Primary Topic: Genomics and Phylogenetic Studies
Type: article
Field-Weighted Citation Impact: 1.61

Funders

Universität des Saarlandes

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Swiftly identifying strongly unique k-mers

Jens Zentgraf, Sven Rahmann

Jul 13, 2025

2 citations

Algorithms for Molecular Biology

Genomics and Phylogenetic Studies

1.61

article

Swiftly identifying strongly unique k-mers

Jens Zentgraf, Sven Rahmann

July 13, 2025article en

2 citations

Abstract

No abstract available for this paper.

Algorithms for Molecular BiologyVol. 20(1)

Saarland University (DE)

Universität des Saarlandes

Openalex Percentile: Top 16%

Genomics and Phylogenetic Studies

1.61

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Swiftly identifying strongly unique k-mers — Jens Zentgraf, Sven Rahmann · Algorithms for Molecular Biology (2025) | TGRS Research Map | TGRS