Article

DiviSSR: Simple arithmetic for efficient identification of tandem repeats

2021-10-06

Abstract excerpt

<h4>Summary</h4> Numerical or vector representations of DNA sequences have been applied for identification of specific sequence characteristics and patterns which are not evident in their character (A, C, G, T) representations. These transformations often reveal a mathematical structure to the sequences which can be captured efficiently using established mathematical methods. One such transformation, the 2-bit fo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a35ee048-4f3e-5db9-a502-be14fcc5fb44
DOI: 10.1101/2021.10.05.462997

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DiviSSR: Simple arithmetic for efficient identification of tandem repeatsDOI 10.1101/2021.10.05.462997Read

STAR: an algorithm to Search for Tandem Approximate Repeats.Semantic proximity Read

Efficient exact associative structure for sequencing dataSemantic proximity Read

Ribbit: Accurate identification and annotation of complex tandem repeat sequences in genomesSemantic proximity Read

SSRD: simple sequence repeats database of the human genome.Semantic proximity Read

Alignment of Single-Molecule Sequencing Reads by Enhancing the Accuracy and Efficiency of Locality-Sensitive HashingSemantic proximity Read

Fast and accurate short read alignment with hybrid hash-tree data structureSemantic proximity Read

Efficient Identification of Short Tandem Repeats via Context-Aware Motif Discovery and Ultra-Fast Sequence AlignmentSemantic proximity Read

Genome-wide pervasiveness and localized variation of [Formula: see text]-mer-based genomic signatures in eukaryotes.Semantic proximity Read

MLDSP-GUI: An alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysisSemantic proximity Read

PerFSeeB: Designing Long High-weight Single Spaced Seeds for Full Sensitivity Alignment with a Given Number of MismatchesSemantic proximity Read

BURST enables mathematically optimal short-read alignment for big dataSemantic proximity Read

Storage and retrieval of highly repetitive sequence collections.Semantic proximity Read