AlcoR: alignment-free simulation, mapping, and visualization of low-complexity regions in biological data

Abstract Background Low-complexity data analysis is the area that addresses the search and quantification of regions in sequences of elements that contain low-complexity or repetitive elements. For example, these can be tandem repeats, inverted repeats, homopolymer tails, GC-biased regions, similar...

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Vydané v:	Gigascience Ročník 12
Hlavní autori:	Silva, Jorge M, Qi, Weihong, Pinho, Armando J, Pratas, Diogo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Oxford University Press 2023
Predmet:	Alignment Amino acid sequence Cassava Chromosomes Complexity Computer Simulation Cultivars Data analysis Diploids Gene sequencing Genome, Human Genomic analysis Haplotypes Humans Mapping Nucleotide sequence Proteomics Repetitive Sequences, Nucleic Acid Sequence Analysis, DNA - methods Software Source code Technical Note Visualization data compression genomes proteomes simulation low-complexity analysis FASTA alignment-free method
ISSN:	2047-217X, 2047-217X
On-line prístup:	Získať plný text
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