Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Matthew E. Holford"'
Publikováno v:
Cancer Informatics, Vol 2009, Iss Semantic Technologie, Pp 19-30 (2009)
We demonstrate the use of Semantic Web technology to integrate the ALFRED allele frequency database and the Starpath pathway resource. The linking of population-specific genotype data with cancer-related pathway data is potentially useful given the g
Externí odkaz:
https://doaj.org/article/eebd787d2924436cb86bf4043aa3ba4b
Publikováno v:
Bioinformatics
Motivation: Recent years have seen the development of a wide range of biomedical ontologies. Notable among these is Sequence Ontology (SO) which offers a rich hierarchy of terms and relationships that can be used to annotate genomic data. Well-design
Autor:
Kei-Hoi Cheung, Luis N. Marenco, Thomas M. Morse, Ernest Lim, Matthew E. Holford, Perry L. Miller, Pradeep G. Mutalik, Matthias Samwald, Gordon M. Shepherd, Huajun Chen
Publikováno v:
Briefings in Bioinformatics. 10:345-353
As the number of neuroscience databases increases, the need for neuroscience data integration grows. This paper reviews and compares several approaches, including the Neuroscience Database Gateway (NDG), Neuroscience Information Framework (NIF) and E
A transcriptome atlas of rice cell types uncovers cellular, functional and developmental hierarchies
Autor:
Xing Wang Deng, Neeru Gandotra, Timothy Nelson, Tie Liu, Meiqin Chen, Ligeng Ma, Nicole K. Clay, S Lori Tausta, Hongyu Zhao, Ning Sun, Yuling Jiao, Teresa Ceserani, Matthew E. Holford, H Zhang
Publikováno v:
Nature Genetics. 41:258-263
The functions of the plant body rely on interactions among distinct and nonequivalent cell types. The comparison of transcriptomes from different cell types should expose the transcriptional networks that underlie cellular attributes and contribution
Motivation: As next generation sequencing gains a foothold in clinical genetics, there is a need for annotation tools to characterize increasing amounts of patient variant data for identifying clinically relevant mutations. While existing informatics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450768c7abed86aec7262c33471bc1be
https://europepmc.org/articles/PMC6078193/
https://europepmc.org/articles/PMC6078193/
Autor:
B Lu, Hongyu Zhao, Bradley E. Enerson, Matthew E. Holford, Herbert Pang, Aiping Lin, Eugenia Floyd, Michael P. Lawton
Publikováno v:
Bioinformatics. 22:2028-2036
Motivation: Although numerous methods have been developed to better capture biological information from microarray data, commonly used single gene-based methods neglect interactions among genes and leave room for other novel approaches. For example,
Publikováno v:
Bioinformatics. 21:1596-1602
Motivation: Packages that support the creation of pathway diagrams are limited by their inability to be readily extended to new classes of pathway-related data. Results: VitaPad is a cross-platform application that enables users to create and modify
Publikováno v:
Cancer Informatics, Vol 2009, Iss Semantic Technologie, Pp 19-30 (2009)
Cancer Informatics, Vol 8, Iss Semantic Technologie, Pp 19-30 (2009)
Cancer Informatics
Cancer Informatics, Vol 8 (2009)
Cancer Informatics, Vol 8, Iss Semantic Technologie, Pp 19-30 (2009)
Cancer Informatics
Cancer Informatics, Vol 8 (2009)
We demonstrate the use of Semantic Web technology to integrate the ALFRED allele frequency database and the Starpath pathway resource. The linking of population-specific genotype data with cancer-related pathway data is potentially useful given the g
Autor:
Zhong Guan, Xing Wang Deng, Hongyu Zhao, Ligeng Ma, Deyun Pan, Ning Sun, Kei-Hoi Cheung, Matthew E. Holford
Publikováno v:
BMC Bioinformatics. 4:56
Background To date, many genomic and pathway-related tools and databases have been developed to analyze microarray data. In published web-based applications to date, however, complex pathways have been displayed with static image files that may not b
Publikováno v:
BMC Bioinformatics
Background The RDF triple provides a simple linguistic means of describing limitless types of information. Triples can be flexibly combined into a unified data source we call a semantic model. Semantic models open new possibilities for the integratio