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Hamish McWilliam

dblp:38/4469 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0003-1769-5032ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 5

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
4 papers
Bioinformatics and computational biology · 91% Computational science and engineering · 9%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 11 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
functional genomics
0.212014
InterProScan 5: genome-scale protein function classification · Bioinform. 2014
Bioinformatics and computational biology › protein function prediction
protein classification
0.212014
InterProScan 5: genome-scale protein function classification · Bioinform. 2014
Bioinformatics and computational biology
protein function prediction
0.212014
InterProScan 5: genome-scale protein function classification · Bioinform. 2014
Bioinformatics and computational biology › biomedical text mining
semantic annotation
0.212013
EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats · Bioinform. 2013
Computational science and engineering › information retrieval
iterative search
0.112012
PSI-Search: iterative HOE-reduced profile SSEARCH searching · Bioinform. 2012
Bioinformatics and computational biology › protein function prediction › protein classification
protein family classification
0.112012
PSI-Search: iterative HOE-reduced profile SSEARCH searching · Bioinform. 2012
Bioinformatics and computational biology
sequence alignment
0.112012
PSI-Search: iterative HOE-reduced profile SSEARCH searching · Bioinform. 2012
Bioinformatics and computational biology › sequence analysis
sequence similarity search
0.112012
PSI-Search: iterative HOE-reduced profile SSEARCH searching · Bioinform. 2012
Bioinformatics and computational biology
multiple sequence alignment
0.112007
Clustal W and Clustal X version 2.0 · Bioinform. 2007
Bioinformatics and computational biology
sequence analysis
0.112007
Clustal W and Clustal X version 2.0 · Bioinform. 2007
High-performance computing
cluster computing
0.112014
InterProScan 5: genome-scale protein function classification · Bioinform. 2014

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

distributed data analysis · 0.4ontology engineering · 0.2smith-waterman local alignment · 0.1PSI-BLAST position-specific score matrix · 0.1progressive alignment · 0.1
YearPublicationVenuePosition
2014 InterProScan 5: genome-scale protein function classification
abstract
Abstract Motivation: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterProScan. Developments include improvements and additions to the outputs of the software and the complete reimplementation of the software framework, resulting in a flexible and stable system that is able to use both multiprocessor machines and/or conventional clusters to achieve scalable distributed data analysis. InterProScan is freely available for download from the EMBl-EBI FTP site and the open source code is hosted at Google Code. Availability and implementation: InterProScan is distributed via FTP at ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/5/ and the source code is available from http://code.google.com/p/interproscan/. Contact: http://www.ebi.ac.uk/support or [email protected] or [email protected]
Philip Jones, David Binns, Hsin-Yu Chang, Matthew Fraser, Weizhong Li 0001, Craig McAnulla, Hamish McWilliam, John Maslen, Alex L. Mitchell, Gift Nuka, Sebastien Pesseat, Antony F. Quinn, Amaia Sangrador-Vegas, Maxim Scheremetjew, Siew-Yit Yong, Rodrigo Lopez, Sarah Hunter
Bioinform.7
2013 EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats
abstract
MOTIVATION: Advancing the search, publication and integration of bioinformatics tools and resources demands consistent machine-understandable descriptions. A comprehensive ontology allowing such descriptions is therefore required. RESULTS: EDAM is an ontology of bioinformatics operations (tool or workflow functions), types of data and identifiers, application domains and data formats. EDAM supports semantic annotation of diverse entities such as Web services, databases, programmatic libraries, standalone tools, interactive applications, data schemas, datasets and publications within bioinformatics. EDAM applies to organizing and finding suitable tools and data and to automating their integration into complex applications or workflows. It includes over 2200 defined concepts and has successfully been used for annotations and implementations. AVAILABILITY: The latest stable version of EDAM is available in OWL format from http://edamontology.org/EDAM.owl and in OBO format from http://edamontology.org/EDAM.obo. It can be viewed online at the NCBO BioPortal and the EBI Ontology Lookup Service. For documentation and license please refer to http://edamontology.org. This article describes version 1.2 available at http://edamontology.org/EDAM_1.2.owl. CONTACT: [email protected].
Jon C. Ison, Matús Kalas, Inge Jonassen, Dan M. Bolser, Mahmut Uludag, Hamish McWilliam, James Malone, Rodrigo Lopez, Steve Pettifer, Peter M. Rice
Bioinform.6
2012 PSI-Search: iterative HOE-reduced profile SSEARCH searching
abstract
UNLABELLED: Iterative similarity searches with PSI-BLAST position-specific score matrices (PSSMs) find many more homologs than single searches, but PSSMs can be contaminated when homologous alignments are extended into unrelated protein domains-homologous over-extension (HOE). PSI-Search combines an optimal Smith-Waterman local alignment sequence search, using SSEARCH, with the PSI-BLAST profile construction strategy. An optional sequence boundary-masking procedure, which prevents alignments from being extended after they are initially included, can reduce HOE errors in the PSSM profile. Preventing HOE improves selectivity for both PSI-BLAST and PSI-Search, but PSI-Search has ~4-fold better selectivity than PSI-BLAST and similar sensitivity at 50% and 60% family coverage. PSI-Search is also produces 2- for 4-fold fewer false-positives than JackHMMER, but is ~5% less sensitive. AVAILABILITY AND IMPLEMENTATION: PSI-Search is available from the authors as a standalone implementation written in Perl for Linux-compatible platforms. It is also available through a web interface (www.ebi.ac.uk/Tools/sss/psisearch) and SOAP and REST Web Services (www.ebi.ac.uk/Tools/webservices).
Weizhong Li 0001, Hamish McWilliam, Mickael Goujon, Andrew Peter Cowley, Rodrigo Lopez, William R. Pearson
Bioinform.2
2010 Fast and efficient searching of biological data resources - using EB-eye
abstract
The EB-eye is a fast and efficient search engine that provides easy and uniform access to the biological data resources hosted at the EMBL-EBI. Currently, users can access information from more than 62 distinct datasets covering some 400 million entries. The data resources represented in the EB-eye include: nucleotide and protein sequences at both the genomic and proteomic levels, structures ranging from chemicals to macro-molecular complexes, gene-expression experiments, binary level molecular interactions as well as reaction maps and pathway models, functional classifications, biological ontologies, and comprehensive literature libraries covering the biomedical sciences and related intellectual property. The EB-eye can be accessed over the web or programmatically using a SOAP Web Services interface. This allows its search and retrieval capabilities to be exploited in workflows and analytical pipe-lines. The EB-eye is a novel alternative to existing biological search and retrieval engines. In this article we describe in detail how to exploit its powerful capabilities.
Franck Valentin, Silvano Squizzato, Mickael Goujon, Hamish McWilliam, Juri Pärn, Rodrigo Lopez
Briefings Bioinform.4
2007 Clustal W and Clustal X version 2.0
abstract
SUMMARY: The Clustal W and Clustal X multiple sequence alignment programs have been completely rewritten in C++. This will facilitate the further development of the alignment algorithms in the future and has allowed proper porting of the programs to the latest versions of Linux, Macintosh and Windows operating systems. AVAILABILITY: The programs can be run on-line from the EBI web server: http://www.ebi.ac.uk/tools/clustalw2. The source code and executables for Windows, Linux and Macintosh computers are available from the EBI ftp site ftp://ftp.ebi.ac.uk/pub/software/clustalw2/
Mark A. Larkin, Gordon Blackshields, Nigel P. Brown, R. Chenna, Paul A. McGettigan, Hamish McWilliam, Franck Valentin, Iain M. Wallace, Andreas Wilm, Rodrigo Lopez, Julie Dawn Thompson, Toby J. Gibson, Desmond G. Higgins
Bioinform.6