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Nathaniel D. Figueroa

dblp:136/7383 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › repetitive DNA analysis
de novo repeat detection
0.212016
phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats · Bioinform. 2016
Bioinformatics and computational biology
genome annotation
0.212016
phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats · Bioinform. 2016
Bioinformatics and computational biology › genome annotation
transposable element annotation
0.212016
phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats · Bioinform. 2016
Bioinformatics and computational biology
sequence analysis
0.112016
phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

patternhunter spaced seeds · 0.2
YearPublicationVenuePosition
2016 phRAIDER: Pattern-Hunter based Rapid Ab Initio Detection of Elementary Repeats
abstract
MOTIVATION: Transposable elements (TEs) and repetitive DNA make up a sizable fraction of Eukaryotic genomes, and their annotation is crucial to the study of the structure, organization, and evolution of any newly sequenced genome. Although RepeatMasker and nHMMER are useful for identifying these repeats, they require a pre-compiled repeat library-which is not always available. De novo identification tools such as Recon, RepeatScout or RepeatGluer serve to identify TEs purely from sequence content, but are either limited by runtimes that prohibit whole-genome use or degrade in quality in the presence of substitutions that disrupt the sequence patterns. RESULTS: phRAIDER is a de novo TE identification tool that address the issues of excessive runtime without sacrificing sensitivity as compared to competing tools. The underlying model is a new definition of elementary repeats that incorporates the PatternHunter spaced seed model, allowing for greater sensitivity in the presence of genomic substitutions. As compared with the premier tool in the literature, RepeatScout, phRAIDER shows an average 10× speedup on any single human chromosome and has the ability to process the whole human genome in just over three hours. Here we discuss the tool, the theoretical model underlying the tool, and the results demonstrating its effectiveness. AVAILABILITY AND IMPLEMENTATION: phRAIDER is an open source tool available from https://github.com/karroje/phRAIDER CONTACT: : [email protected] or SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Carly E. Schaeffer, Nathaniel D. Figueroa, John E. Karro
Bioinform.2