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Stephen J. Fletcher

dblp:223/7999 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7905-9325ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 › sequence analysis
read mapping
0.312018
SCRAM: a pipeline for fast index-free small RNA read alignment and visualization · Bioinform. 2018
Bioinformatics and computational biology
sequence analysis
0.312018
SCRAM: a pipeline for fast index-free small RNA read alignment and visualization · Bioinform. 2018
Bioinformatics and computational biology › sequence analysis › read mapping
short read alignment
0.312018
SCRAM: a pipeline for fast index-free small RNA read alignment and visualization · Bioinform. 2018
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
small RNA analysis
0.312018
SCRAM: a pipeline for fast index-free small RNA read alignment and visualization · Bioinform. 2018

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

index-free alignment · 0.3
YearPublicationVenuePosition
2018 SCRAM: a pipeline for fast index-free small RNA read alignment and visualization
abstract
Summary: Small RNAs play key roles in gene regulation, defense against viral pathogens and maintenance of genome stability, though many aspects of their biogenesis and function remain to be elucidated. SCRAM (Small Complementary RNA Mapper) is a novel, simple-to-use short read aligner and visualization suite that enhances exploration of small RNA datasets. Availability and implementation: The SCRAM pipeline is implemented in Go and Python, and is freely available under MIT license. Source code, multiplatform binaries and a Docker image can be accessed via https://sfletc.github.io/scram/. Supplementary information: Supplementary data are available at Bioinformatics online.
Stephen J. Fletcher, Mikael Bodén, Neena Mitter, Bernard J. Carroll
Bioinform.1