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Craig McAnulla

Explore the profile of Craig McAnulla including associated specialties, affiliations and a list of published articles. Areas
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Articles 13
Citations 6859
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Recent Articles
1.
Mitchell A, Chang H, Daugherty L, Fraser M, Hunter S, Lopez R, et al.
Nucleic Acids Res . 2014 Nov; 43(Database issue):D213-21. PMID: 25428371
The InterPro database (http://www.ebi.ac.uk/interpro/) is a freely available resource that can be used to classify sequences into protein families and to predict the presence of important domains and sites. Central...
2.
Jones P, Binns D, Chang H, Fraser M, Li W, McAnulla C, et al.
Bioinformatics . 2014 Jan; 30(9):1236-40. PMID: 24451626
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...
3.
Hunter S, Corbett M, Denise H, Fraser M, Gonzalez-Beltran A, Hunter C, et al.
Nucleic Acids Res . 2013 Oct; 42(Database issue):D600-6. PMID: 24165880
Metagenomics is a relatively recently established but rapidly expanding field that uses high-throughput next-generation sequencing technologies to characterize the microbial communities inhabiting different ecosystems (including oceans, lakes, soil, tundra, plants...
4.
Hunter C, Mitchell A, Jones P, McAnulla C, Pesseat S, Scheremetjew M, et al.
Brief Bioinform . 2012 Sep; 13(6):743-6. PMID: 22962339
Several thousand metagenomes have already been sequenced, and this number is set to grow rapidly in the forthcoming years as the uptake of high-throughput sequencing technologies continues. Hand-in-hand with this...
5.
Ma W, McAnulla C, Wang L
Biochim Biophys Acta . 2012 Jul; 1824(12):1418-24. PMID: 22771297
With the development of high-throughput methods for identifying protein-protein interactions, large scale interaction networks are available. Computational methods to analyze the networks to detect functional modules as protein complexes are...
6.
Burge S, Kelly E, Lonsdale D, Mutowo-Muellenet P, McAnulla C, Mitchell A, et al.
Database (Oxford) . 2012 Feb; 2012:bar068. PMID: 22301074
InterPro amalgamates predictive protein signatures from a number of well-known partner databases into a single resource. To aid with interpretation of results, InterPro entries are manually annotated with terms from...
7.
Hunter S, Jones P, Mitchell A, Apweiler R, Attwood T, Bateman A, et al.
Nucleic Acids Res . 2011 Nov; 40(Database issue):D306-12. PMID: 22096229
InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central...
8.
Jones P, Binns D, McMenamin C, McAnulla C, Hunter S
Database (Oxford) . 2011 Jul; 2011:bar033. PMID: 21785143
The InterPro BioMart provides users with query-optimized access to predictions of family classification, protein domains and functional sites, based on a broad spectrum of integrated computational models ('signatures') that are...
9.
Frederix M, Edwards A, McAnulla C, Downie J
Mol Microbiol . 2011 Jul; 81(4):994-1007. PMID: 21732996
Analysis of quorum-sensing (QS) regulation in Rhizobium leguminosarum revealed an unusual type of gene regulation that relies on the population density-dependent accumulation of an anti-repressor. The cinS gene, which is...
10.
Hunter S, Apweiler R, Attwood T, Bairoch A, Bateman A, Binns D, et al.
Nucleic Acids Res . 2008 Oct; 37(Database issue):D211-5. PMID: 18940856
The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or 'signatures' representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART,...