diverse-seq: an application for alignment-free selecting and clustering biological sequences

Huttley et al., (2025). <code>diverse-seq</code>: an application for alignment-free selecting and clustering biological sequences. Journal of Open Source Software, 10(110), 7765, https://doi.org/10.21105/joss.07765

Authors

Institutions

Publication Details

Journal
The Journal of Open Source Software
Published
2025-06-07
DOI
https://doi.org/10.21105/joss.07765
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

diverse-seq: an application for alignment-free selecting and clustering biological sequences

Katherine Caley, Robert McArthur, Gavin Huttley
1 citations
The Journal of Open Source Software
Genomics and Phylogenetic Studies
0.81
article

diverse-seq: an application for alignment-free selecting and clustering biological sequences

Katherine Caley, Robert McArthur, Gavin Huttley
article en
1 citations

Abstract

Huttley et al., (2025). <code>diverse-seq</code>: an application for alignment-free selecting and clustering biological sequences. Journal of Open Source Software, 10(110), 7765, https://doi.org/10.21105/joss.07765

The Journal of Open Source SoftwareVol. 10(110)
Australian National University (AU)
Openalex Percentile: Top 27%
Genomics and Phylogenetic Studies
0.81
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.

diverse-seq: an application for alignment-free selecting and clustering biological sequences — Katherine Caley, Robert McArthur, et al. · The Journal of Open Source Software (2025) | TGRS Research Map | TGRS