Mem-based pangenome indexing for k-mer queries
Abstract Pangenomes are growing in number and size, thanks to the prevalence of high-quality long-read assemblies. However, current methods for studying sequence composition and conservation within pangenomes have limitations. Methods based on graph pangenomes require a computationally expensive mul...
Saved in:
| Main Authors: | Stephen Hwang, Nathaniel K. Brown, Omar Y. Ahmed, Katharine M. Jenike, Sam Kovaka, Michael C. Schatz, Ben Langmead |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
|
| Series: | Algorithms for Molecular Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13015-025-00272-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A stepwise guide for pangenome development in crop plants: an alfalfa (Medicago sativa) case study
by: Harpreet Kaur, et al.
Published: (2024-10-01) -
Crop pangenomes
by: A. Yu. Pronozin, et al.
Published: (2021-03-01) -
A Pangenomic Analysis of the Diversity and Biological Functioning of the Genus Azotobacter
by: Mughair Abdul Aziz, et al.
Published: (2025-06-01) -
A survey of sequence-to-graph mapping algorithms in the pangenome era
by: Yingbo Cui, et al.
Published: (2025-05-01) -
Small amounts of misassembly can have disproportionate effects on pangenome-based metagenomic analyses
by: Stephanie N. Majernik, et al.
Published: (2025-05-01)