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seqArchR

Bioc removed

Identify Different Architectures of Sequence Elements

v1.14.0 · GPL-3 | file LICENSE

Release Lineage

Entered 3.15 · Apr 27, 2022

Removed after 3.22 · Oct 30, 2025

1.0 In 8 of 49 releases 3.23

Description

seqArchR enables unsupervised discovery of _de novo_ clusters with characteristic sequence architectures characterized by position-specific motifs or composition of stretches of nucleotides, e.g., CG-richness. seqArchR does _not_ require any specifications w.r.t. the number of clusters, the length of any individual motifs, or the distance between motifs if and when they occur in pairs/groups; it directly detects them from the data. seqArchR uses non-negative matrix factorization (NMF) as its backbone, and employs a chunking-based iterative procedure that enables processing of large sequence collections efficiently. Wrapper functions are provided for visualizing cluster architectures as sequence logos.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("seqArchR")
Nikumbh, S. (2025). seqArchR: Identify Different Architectures of Sequence Elements (Version 1.14.0) [Computer software]. https://bioconductor.org/packages/seqArchR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for seqArchR version 1.14.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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