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BioData Mining


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  1. Content type: Methodology

    Quality assessment methods, that are common place in engineering and industrial production, are not widely spread in large-scale proteomics experiments. But modern technologies such as Multi-Dimensional Liquid...

    Authors: Ole Schulz-Trieglaff, Egidijus Machtejevas, Knut Reinert, Hartmut Schlüter, Joachim Thiemann and Klaus Unger

    Citation: BioData Mining 2009 2:4

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  2. Content type: Research

    The fidelity of DNA replication serves as the nidus for both genetic evolution and genomic instability fostering disease. Single nucleotide polymorphisms (SNPs) constitute greater than 80% of the genetic varia...

    Authors: Eric Arehart, Scott Gleim, Bill White, John Hwa and Jason H Moore

    Citation: BioData Mining 2009 2:2

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  3. Content type: Review

    The analysis and interpretation of relationships between biological molecules, networks and concepts is becoming a major bottleneck in systems biology. Very often the pure amount of data and their heterogeneit...

    Authors: Georgios A Pavlopoulos, Anna-Lynn Wegener and Reinhard Schneider

    Citation: BioData Mining 2008 1:12

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  4. Content type: Software article

    Analysis of a microarray experiment often results in a list of hundreds of disease-associated genes. In order to suggest common biological processes and functions for these genes, Gene Ontology annotations wit...

    Authors: Kristian Ovaska, Marko Laakso and Sampsa Hautaniemi

    Citation: BioData Mining 2008 1:11

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  5. Content type: Methodology

    Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in particular Alzheimer's disease. However, the su...

    Authors: Saravana K Kumarasamy, Yunshi Wang, Vignesh Viswanathan and Rachel S Kraut

    Citation: BioData Mining 2008 1:10

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  6. Content type: Research

    The tissue specificity of gene expression has been linked to a number of significant outcomes including level of expression, and differential rates of polymorphism, evolution and disease association. Recent st...

    Authors: Antonio Reverter, Aaron Ingham and Brian P Dalrymple

    Citation: BioData Mining 2008 1:8

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  7. Content type: Review

    Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithm...

    Authors: Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza and Pedro Larrañaga

    Citation: BioData Mining 2008 1:6

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  8. Content type: Methodology

    Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to study the expression patterns of many genes ...

    Authors: Qicheng Ma, Gung-Wei Chirn, Joseph D Szustakowski, Adel Bakhtiarova, Penelope A Kosinski, Daniel Kemp and Nanguneri Nirmala

    Citation: BioData Mining 2008 1:4

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  9. Content type: Research

    Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD show evidence of genetic and environmental ...

    Authors: Richard C McEachin, Benjamin J Keller, Erika FH Saunders and Melvin G McInnis

    Citation: BioData Mining 2008 1:2

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  10. Content type: Review

    Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical applications, such as the predictio...

    Authors: Haiying Wang, Huiru Zheng and Francisco Azuaje

    Citation: BioData Mining 2008 1:5

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  11. Content type: Editorial

    This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful knowledge from heterogeneous biol...

    Authors: Jesús S Aguilar-Ruiz, Jason H Moore and Marylyn D Ritchie

    Citation: BioData Mining 2008 1:1

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