9 results match your criteria Current Bioinformatics[Journal]

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Identification of Marker Genes for Cancer Based on Microarrays Using a Computational Biology Approach.

Authors:
Xiaosheng Wang

Curr Bioinform 2014 Apr;9(2):140-146

Biometric Research Branch, National Cancer Institute, National Institutes of Health, Rockville, MD 20852, U.S.A;

Rapid advances in gene expression microarray technology have enabled to discover molecular markers used for cancer diagnosis, prognosis, and prediction. One computational challenge with using microarray data analysis to create cancer classifiers is how to effectively deal with microarray data which are composed of high-dimensional attributes (p) and low-dimensional instances (n). Gene selection and classifier construction are two key issues concerned with this topics. Read More

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http://dx.doi.org/10.2174/1574893608999140109115649DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964808PMC
April 2014
13 Reads

Comparative Genomics and Systems Biology of Malaria Parasites

Curr Bioinform 2012 Dec;7(4)

Department of Biology, University of Texas at San Antonio, San Antonio, TX 78249, USA.

Malaria is a serious infectious disease that causes over one million deaths yearly. It is caused by a group of protozoan parasites in the genus . No effective vaccine is currently available and the elevated levels of resistance to drugs in use underscore the pressing need for novel antimalarial targets. Read More

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http://www.eurekaselect.com/openurl/content.php?genre=articl
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http://dx.doi.org/10.2174/157489312803900965DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3844129PMC
December 2012
18 Reads

Integrative Approaches for microRNA Target Prediction: Combining Sequence Information and the Paired mRNA and miRNA Expression Profiles.

Curr Bioinform 2013 Feb;8(1):37-45

LMAM, School of Mathematical Sciences, Peking University, Beijing 100871, P.R. China ; Beijing International Center for Mathematical Research, Peking University, Beijing 100871, P.R. China.

Gene regulation is a key factor in gaining a full understanding of molecular biology. microRNA (miRNA), a novel class of non-coding RNA, has recently been found to be one crucial class of post-transactional regulators, and play important roles in cancer. One essential step to understand the regulatory effect of miRNAs is the reliable prediction of their target mRNAs. Read More

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http://dx.doi.org/10.2174/1574893611308010008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3583062PMC
February 2013
13 Reads

Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis.

Curr Bioinform 2012 Mar;7(1):96-108

Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.

Biological systems are increasingly being studied in a holistic manner, using omics approaches, to provide quantitative and qualitative descriptions of the diverse collection of cellular components. Among the omics approaches, metabolomics, which deals with the quantitative global profiling of small molecules or metabolites, is being used extensively to explore the dynamic response of living systems, such as organelles, cells, tissues, organs and whole organisms, under diverse physiological and pathological conditions. This technology is now used routinely in a number of applications, including basic and clinical research, agriculture, microbiology, food science, nutrition, pharmaceutical research, environmental science and the development of biofuels. Read More

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http://dx.doi.org/10.2174/157489312799304431DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299976PMC
March 2012
17 Reads

In vitro experimental investigation of voice production.

Curr Bioinform 2011 Sep;6(3):305-322

Institute of Process Maschinery and Systems Engineering, University Erlangen-Nuremberg, Cauerstr. 4, 91058 Erlangen, Germany, .

The process of human phonation involves a complex interaction between the physical domains of structural dynamics, fluid flow, and acoustic sound production and radiation. Given the high degree of nonlinearity of these processes, even small anatomical or physiological disturbances can significantly affect the voice signal. In the worst cases, patients can lose their voice and hence the normal mode of speech communication. Read More

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http://dx.doi.org/10.2174/157489311796904637DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3505067PMC
September 2011
17 Reads

Experiments on Analysing Voice Production: Excised (Human, Animal) and (Animal) Approaches.

Curr Bioinform 2011;6(3):286-304

University Hospital Erlangen, Medical School, ENT-Hospital, Waldstrasse 1, 91054 Erlangen, Germany.

Experiments on human and on animal excised specimens as well as animal preparations are so far the most realistic approaches to simulate the process of human phonation. These experiments do not have the disadvantage of limited space within the neck and enable studies of the actual organ necessary for phonation, i.e. Read More

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http://web.mit.edu/dmehta/www/docs/DollingerCBIO2011%20Exper
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http://www.eurekaselect.com/openurl/content.php?genre=articl
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http://dx.doi.org/10.2174/157489311796904673DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645279PMC
January 2011
18 Reads

Integration of Diverse Research Methods to Analyze and Engineer Ca-Binding Proteins: From Prediction to Production.

Curr Bioinform 2010 Mar;5(1):68-80

Department of Chemistry, Center for Drug Design and Biotechnology, Georgia State University, Atlanta, GA 30303, USA.

In recent years, increasingly sophisticated computational and bioinformatics tools have evolved for the analyses of protein structure, function, ligand interactions, modeling and energetics. This includes the development of algorithms to recursively evaluate side-chain rotamer permutations, identify regions in a 3D structure that meet some set of search parameters, calculate and minimize energy values, and provide high-resolution visual tools for theoretical modeling. Here we discuss the interdependency between different areas of bioinformatics, the evolution of different algorithm design approaches, and finally the transition from theoretical models to real-world design and application as they relate to Ca(2+)-binding proteins. Read More

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http://dx.doi.org/10.2174/157489310790596358DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2927018PMC
March 2010
16 Reads

Computational Biology of Olfactory Receptors.

Curr Bioinform 2009 Jan;4(1):8-15

Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

Olfactory receptors, in addition to being involved in first step of the physiological processes that leads to olfaction, occupy an important place in mammalian genomes. ORs constitute super families in these genomes. Elucidating ol-factory receptor function at a molecular level can be aided by a computationally derived structure and an understanding of its interactions with odor molecules. Read More

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http://www.eurekaselect.com/openurl/content.php?genre=articl
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http://dx.doi.org/10.2174/157489309787158143DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3187719PMC
January 2009
15 Reads

Beyond the HapMap Genotypic Data: Prospects of Deep Resequencing Projects.

Curr Bioinform 2008 Sep;3(3):178

Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA.

The International HapMap Project provides a key resource of genotypic data on human samples including lymphoblastoid cell lines derived from individuals of four major world populations of African, European, Japanese and Chinese ancestry. Researchers have utilized this resource to identify genetic elements that correlate with various phenotypes such as risks of common diseases, individual drug response and gene expression variation. However, recent comparative studies have suggested that the currently available HapMap genotypic data may not capture a substantial proportion of rare or untyped SNPs in these populations, implying that the HapMap SNPs may not be sufficient for comprehensive association studies. Read More

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http://dx.doi.org/10.2174/157489308785909232DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819736PMC
September 2008
28 Reads
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