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 |
