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Bioinformatics

Xem 1-20 trên 3237 kết quả Bioinformatics
  • The Brazilian Symposium on Bioinformatics (BSB) 2008 was held at Santo Andr´e (S˜ao Paulo), Brazil, August 28–30, 2008. BSB 2008 was the third symposium in the BSB series, although BSB was preceded by the Brazilian Workshop on Bioinformatics (WOB). This previous event had three consecutive editions in 2002 (Gramado, Rio Grande do Sul), 2003 (Maca´e, Rio de Janeiro), and 2004 (Bras´ılia, Distrito Federal). The change from workshop to symposium reflects the increasing quality and interest behind this meeting.

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  • Bioinformatics ? Biology and Computers ? What do they have to do with each other? I suppose that this question could have been raised even in 19th century when technologies of computers and biology were just emerging. At one city in France the great Louis Pasteur (1822-1895) was studying how fermentation of alcohol was linked to the existence of a specific microorganism. In another city in England, equally great Charles Babbage (1791-1871) was oiling his Analytical Engine in which Ada Lovelace, a mathematician who understood Babbage's vision, was trying to calculate the Bernoulli numbers.

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  • Bioinformatics là một ngành học còn khá mới trong lĩnh vực Sinh học. Vì vậy, hiện nay có khá nhiều định nghĩa khác nhau về thuật ngữ bioinformatics. Chúng ta thử tìm hiểu một số thuật ngữ: • Bioinformatics là môn học về cách sử dụng máy tính để giải quyết những vấn đề của khoa học sự sống, chủ yếu là vấn đề cơ sở dữ liệu phong phú của bộ gen, trình tự protein... Ngoài ra, nó còn giải quyết những vấn đề về kỹ thuật như mô hình...

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  • Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You’ll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to:

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  • Bioinformatics is an emerging and rapidly growing area of science. Not sur- prisingly, there is tremendous lag time between the state of knowledge and the publication of manuals for those who need to fathom the basic knowledge and apply it in problem solving. Mr. Rashidi and Dr. Buehler have found a way to address these needs. Their book provides excellent, timely, and easy- to-understand information and advice for those without a great...

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  • Bioinformatics is at a crossroads. We work in a field that is changing every day, increasingly moving from specific solutions created by single researchers working alone or in small groups to larger, often geographically dispersed programs enabled by collaborative computing and open software. This book represents an important development, giving the reader an opportunity to discover how the use of open and reusable Java code can solve large bioinformatics problems in a software engineered and robust way.

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  • With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge. Many biologists have a difficult time learning how to apply the language to bioinformatics. The most popular Perl programming books are often too theoretical and too focused on computer science for a non-programming biologist who needs to solve very specific problems....

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  • (BQ) Part 1 of the document Trends and methodologies of bioinformatics has contents: Vector space information retrieval techniques for bioinformatics data mining, significance score of motifs in biological sequences, predicting virus evolution,... and other contents. Invite you to refer.

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  • Upper tract urothelial carcinoma (UTUC) is a relatively uncommon cancer worldwide, however it accounts for approximately 30% of urothelial cancer in the Taiwanese population. The aim of the current study is to identify differential molecular signatures and novel miRNA regulations in UTUC, using next-generation sequencing and bioinformatics approaches.

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  • Adenocarcinoma is a very common pathological subtype for lung cancer. We aimed to identify the gene signature associated with the prognosis of smoking related lung adenocarcinoma using bioinformatics analysis.

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  • miRNA (microRNA) are short RNA molecules in length from 20 to 24 nucleotides that have been shown to play an important role in regulating gene expression in many different types of human cancer. Meanwhile, miRNA-214 is one of the known miRNAs involved in the formation of nasopharyngeal carcinoma (NPC) through overexpression that promotes proliferation and development of cancer cells. However, in Vietnam, the study of miR-214 related to NPC has not been conducted yet.

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  • Biodiversity is commonly used for the totality and variability of species, genes and the ecosystems. They occupy at three levels i.e generic, species and ecology. Recently the advancement in bioinformatics is mainly accelerated by the study of molecular events using data obtained by exhaustive experiments such as whole genome sequencing, functional annotation, expression analysis and some others.

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  • The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio rerio (zebrafish), and Macaca mulatta (macaque), as well as perform orthologous conversions among the supported species.

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  • The Pan-African bioinformatics network, H3ABioNet, comprises 27 research institutions in 17 African countries. H3ABioNet is part of the Human Health and Heredity in Africa program (H3Africa), an African-led research consortium funded by the US National Institutes of Health and the UK Wellcome Trust, aimed at using genomics to study and improve the health of Africans.

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  • Microarray experiments comprise more than half of all series in the Gene Expression Omnibus (GEO). However, downloading and analyzing raw or semi-processed microarray data from GEO is not intuitive and requires manual error-prone analysis and a bioinformatics background.

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  • Automated bioinformatics workflows are more robust, easier to maintain, and results more reproducible when built with command-line utilities than with custom-coded scripts. Command-line utilities further benefit by relieving bioinformatics developers to learn the use of, or to interact directly with, biological software libraries.

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  • Bioinformatic tools for the enrichment of ‘omics’ datasets facilitate interpretation and understanding of data. To date few are suitable for metabolomics datasets. The main objective of this work is to give a critical overview, for the first time, of the performance of these tools.

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  • Bioinformatics has multitudinous identities, organisational alignments and disciplinary links. This variety allows bioinformaticians and bioinformatic work to contribute to much (if not most) of life science research in profound ways.

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  • The evolution of next-generation sequencing (NGS) technologies has led to increased focus on RNA-Seq. Many bioinformatic tools have been developed for RNA-Seq analysis, each with unique performance characteristics and configuration parameters.

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  • Bioinformatics is an interdisciplinary field at the intersection of molecular biology and computing technology. To characterize the field as convergent domain, researchers have used bibliometrics, augmented with text-mining techniques for content analysis. In previous studies, Latent Dirichlet Allocation (LDA) was the most representative topic modeling technique for identifying topic structure of subject areas.

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