A survey of k-mer methods and applications in bioinformatics
Pennsylvania State University · Penn State Milton S. Hershey Medical Center · +2 more institutions
Abstract
The rapid progression of genomics and proteomics has been driven by the advent of advanced sequencing technologies, large, diverse, and readily available omics datasets, and the evolution of computational data processing capabilities. The vast amount of data generated by these advancements necessitates efficient algorithms to extract meaningful information. K-mers serve as a valuable tool when working with large sequencing datasets, offering several advantages in computational speed and memory efficiency and carrying the potential for intrinsic biological functionality. This review provides an overview of the methods, applications, and significance of k-mers in genomic and proteomic data analyses, as well as…
Citation impact
- FWCI
- 22.34
- Percentile
- 100%
- References
- 321
Authors
9- CMCamille Moeckel
Pennsylvania State University, Penn State Milton S. Hershey Medical Center
- MMManvita Mareboina
Pennsylvania State University, Penn State Milton S. Hershey Medical Center
- MAMaxwell A. Konnaris
Pennsylvania State University, Penn State Milton S. Hershey Medical Center
- CSCandace S. Y. Chan
University of California, San Francisco
- IMIoannis Mouratidis
Pennsylvania State University, University of California, San Francisco, Penn State Milton S. Hershey Medical Center
Topics & keywords
- Genomics
- Data science
- Computer science
- Proteomics
- Computational biology
- Genomic sequencing
- Bioinformatics
- Biology