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Orcid Publication

Detalle de: SNPick

Title SNPick
Abstract

SNPick is a fast and memory-efficient tool designed to extract SNP (Single Nucleotide Polymorphism) sites from large-scale FASTA alignments, taking into consideration IUPAC ambiguous nucleotides. SNP analysis is critical for understanding genetic variation, phylogenetic relationships, and evolutionary biology. SNPick was developed to overcome these limitations, providing a highly scalable and optimized approach to SNP extraction. Unlike snp-sites, SNPick employs parallel processing and an efficient memory management strategy, making it suitable for very large datasets. This scalability allows users to work with massive alignments, extracting SNPs in a fraction of the time and with significantly lower memory requirements compared to traditional tools. The key benefits of SNPick include: Scalability: Able to handle datasets with tens of thousands of sequences and large genome alignments without a significant increase in memory consumption or processing time. Efficiency: Optimized for speed, taking advantage of multi-threading and efficient memory allocation. Versatility: Supports the extraction of SNPs while handling IUPAC ambiguous nucleotides, making it highly adaptable to different types of genomic data.

Apa Reference Ruiz-Rodriguez, Paula, Coscolla, Mireia (2024). SNPick [Software]. Zenodo. 10.5281/zenodo.14191809
Doi 10.5281/zenodo.14191809
Publication Date 20 Nov 2024
Publication Type Software
Researcher Mireia Coscolla Devis
Ontology Genomics, Parallel Computing, Population genomics, Phylogenetic Analysis
Research Groups
Tools SNPick

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