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Christopher A. Brown

dblp:29/10563 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
sequencing data processing
0.612022
SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data · Bioinform. 2022

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

sequence-independent adapter identification · 0.6
YearPublicationVenuePosition
2022 SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data
abstract
SUMMARY: Here, we introduce SNIKT, a command-line tool for sequence-independent visual confirmation and input-assisted removal of adapter contamination in whole-genome shotgun or metagenomic shotgun long-read sequencing DNA or RNA data. AVAILABILITY AND IMPLEMENTATION: SNIKT is implemented in R and is compatible with Unix-like platforms. The source code, along with documentation, is freely available under an MIT license at https://github.com/piyuranjan/SNIKT. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Piyush Ranjan, Christopher A. Brown, John R. Erb-Downward, Robert P. Dickson
Bioinform.2