نتایج جستجو برای: david bioinformatics resources 67

تعداد نتایج: 395705  

Journal: :International journal of data mining and bioinformatics 2010
Mahmood A. Mahdavi

Medical informatics has shifted its focus from acquisition and storage of healthcare data by integrating computational, informational, cognitive and organisational sciences to semantic analysis of the data for problem solving and clinical decision-making. In this transition, bioinformatics tools and resources are the most appropriate means to improve the analysis, as major biological databases ...

2015
Patricia C. Babbitt Pantelis G. Bagos Amos Bairoch Alex Bateman Arnaud Chatonnet Mark Jinan Chen David J. Craik Robert D. Finn David E. Gloriam Daniel H. Haft Bernard Henrissat Gemma L. Holliday Vignir Ísberg Quentin Kaas David Landsman Nicolas Lenfant Gerard Manning Nozomi Nagano Narayanaswamy Srinivasan Claire O'Donovan Kim D. Pruitt Ramanathan Sowdhamini Neil D. Rawlings Milton H. Saier Joanna L. Sharman Michael Spedding Konstantinos D. Tsirigos Åke Västermark Gert Vriend

During 11-12 August 2014, a Protein Bioinformatics and Community Resources Retreat was held at the Wellcome Trust Genome Campus in Hinxton, UK. This meeting brought together the principal investigators of several specialized protein resources (such as CAZy, TCDB and MEROPS) as well as those from protein databases from the large Bioinformatics centres (including UniProt and RefSeq). The retreat ...

2010
Yoshinobu Kano Paul D. Dobson Mio Nakanishi Jun'ichi Tsujii Sophia Ananiadou

UNLABELLED Text mining from the biomedical literature is of increasing importance, yet it is not easy for the bioinformatics community to create and run text mining workflows due to the lack of accessibility and interoperability of the text mining resources. The U-Compare system provides a wide range of bio text mining resources in a highly interoperable workflow environment where workflows can...

2015
Thomas K. Karikari

Until recently, bioinformatics, an important discipline in the biological sciences, was largely limited to countries with advanced scientific resources. Nonetheless, several developing countries have lately been making progress in bioinformatics training and applications. In Africa, leading countries in the discipline include South Africa, Nigeria, and Kenya. However, one country that is less k...

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