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Frank Schwach

dblp:76/5205 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0001-5495-7535ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
small RNA analysis
0.222012
The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets · Bioinform. 2012
A toolkit for analysing large-scale plant small RNA datasets · Bioinform. 2008
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
microRNA analysis
0.112012
The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets · Bioinform. 2012
Bioinformatics and computational biology › transcriptomics › small RNA-seq analysis
small RNA-seq processing
0.112012
The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets · Bioinform. 2012
Bioinformatics and computational biology › transcriptomics › small RNA-seq analysis
microRNA identification
0.112008
A toolkit for analysing large-scale plant small RNA datasets · Bioinform. 2008
Bioinformatics and computational biology › genomics
plant genomics
0.012008
A toolkit for analysing large-scale plant small RNA datasets · Bioinform. 2008

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

next-generation sequencing analysis · 0.1
YearPublicationVenuePosition
2012 The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets
abstract
SUMMARY: RNA silencing is a complex, highly conserved mechanism mediated by small RNAs (sRNAs), such as microRNAs (miRNAs), that is known to be involved in a diverse set of biological functions including development, pathogen control, genome maintenance and response to environmental change. Advances in next generation sequencing technologies are producing increasingly large numbers of sRNA reads per sample at a fraction of the cost of previous methods. However, many bioinformatics tools do not scale accordingly, are cumbersome, or require extensive support from bioinformatics experts. Therefore, researchers need user-friendly, robust tools, capable of not only processing large sRNA datasets in a reasonable time frame but also presenting the results in an intuitive fashion and visualizing sRNA genomic features. Herein, we present the UEA sRNA workbench, a suite of tools that is a successor to the web-based UEA sRNA Toolkit, but in downloadable format and with several enhanced and additional features. AVAILABILITY: The program and help pages are available at http://srna-workbench.cmp.uea.ac.uk. CONTACT: [email protected].
Matthew B. Stocks, Simon Moxon, Daniel Mapleson, Hugh C. Woolfenden, Irina Mohorianu, Leighton Folkes, Frank Schwach, Tamas Dalmay, Vincent Moulton
Bioinform.7
2008 A toolkit for analysing large-scale plant small RNA datasets
abstract
UNLABELLED: Recent developments in high-throughput sequencing technologies have generated considerable demand for tools to analyse large datasets of small RNA sequences. Here, we describe a suite of web-based tools for processing plant small RNA datasets. Our tools can be used to identify micro RNAs and their targets, compare expression levels in sRNA loci, and find putative trans-acting siRNA loci. AVAILABILITY: The tools are freely available for use at http://srna-tools.cmp.uea.ac.uk.
Simon Moxon, Frank Schwach, Tamas Dalmay, Daniel MacLean, David J. Studholme, Vincent Moulton
Bioinform.2