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

2023-04-18

Abstract excerpt

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 genes, and hairpins, among many others. Identifying these regions is crucial because of their association with regulatory and structural...

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Literature Corpus work
c4d4d76f-d701-538b-a914-ce2a55552696
DOI
10.1101/2023.04.17.537157
Open publication

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AlcoR: alignment-free simulation, mapping, and visualization of low-complexity regions in biological dataDOI 10.1101/2023.04.17.537157
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