jueves, 1 de diciembre de 2016

BMC Bioinformatics | Proceedings of the 13th Annual MCBIOS conference

BMC Bioinformatics | Proceedings of the 13th Annual MCBIOS conference
Biomed Central

BMC Bioinformatics

Proceedings of the 13th Annual MCBIOS conference


Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
Memphis, TN, USA
3-5 May 2016
Edited by Jonathan Wren, Inimary Toby, Huziao Hong, Bindu Nanduri, Rakesh Kaundal, Mikhail G Dozmorov and Shradda Thakkar.

    VDJML: a file format with tools for capturing the results of inferring immune receptor rearrangements

    The genes that produce antibodies and the immune receptors expressed on lymphocytes are not germline encoded; rather, they are somatically generated in each developing lymphocyte by a process called V(D)J reco...
    Inimary T. Toby, Mikhail K. Levin, Edward A. Salinas, Scott Christley, Sanchita Bhattacharya, Felix Breden, Adam Buntzman, Brian Corrie, John Fonner, Namita T. Gupta, Uri Hershberg, Nishanth Marthandan, Aaron Rosenfeld, William Rounds, Florian Rubelt, Walter Scarborough…
    BMC Bioinformatics 2016 17(Suppl 13):333
    Published on: 6 October 2016

    Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach

    Neuroimaging studies have yielded significant advances in the understanding of neural processes relevant to the development and persistence of addiction. However, these advances have not explored extensively f...
    Mutlu Mete, Unal Sakoglu, Jeffrey S. Spence, Michael D. Devous, Thomas S. Harris and Bryon Adinoff
    BMC Bioinformatics 2016 17(Suppl 13):357
    Published on: 6 October 2016

    Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer

    MicroRNAs (miRNA) are short nucleotides that interact with their target genes through 3′ untranslated regions (UTRs). The Cancer Genome Atlas (TCGA) harbors an increasing amount of cancer genome data for both ...
    Yongsheng Bai, Lizhong Ding, Steve Baker, Jenny M. Bai, Ethan Rath, Feng Jiang, Jianghong Wu, Hui Jiang and Gary Stuart
    BMC Bioinformatics 2016 17(Suppl 13):336
    Published on: 6 October 2016

    Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images

    Automated skin lesion border examination and analysis techniques have become an important field of research for distinguishing malignant pigmented lesions from benign lesions. An abrupt pigment pattern cutoff ...
    Sertan Kaya, Mustafa Bayraktar, Sinan Kockara, Mutlu Mete, Tansel Halic, Halle E. Field and Henry K. Wong
    BMC Bioinformatics 2016 17(Suppl 13):367
    Published on: 6 October 2016

    Phylogenetic tree construction using trinucleotide usage profile (TUP)

    It has been a challenging task to build a genome-wide phylogenetic tree for a large group of species containing a large number of genes with long nucleotides sequences. The most popular method, called feature ...
    Si Chen, Lih-Yuan Deng, Dale Bowman, Jyh-Jen Horng Shiau, Tit-Yee Wong, Behrouz Madahian and Henry Horng-Shing Lu
    BMC Bioinformatics 2016 17(Suppl 13):381
    Published on: 6 October 2016

    Application of dynamic topic models to toxicogenomics data

    All biological processes are inherently dynamic. Biological systems evolve transiently or sustainably according to sequential time points after perturbation by environment insults, drugs and chemicals. Investi...
    Mikyung Lee, Zhichao Liu, Ruili Huang and Weida Tong
    BMC Bioinformatics 2016 17(Suppl 13):368
    Published on: 6 October 2016

    Improving sensitivity of linear regression-based cell type-specific differential expression deconvolution with per-gene vs. global significance threshold

    The goal of many human disease-oriented studies is to detect molecular mechanisms different between healthy controls and patients. Yet, commonly used gene expression measurements from blood samples suffer from...
    Edmund R. Glass and Mikhail G. Dozmorov
    BMC Bioinformatics 2016 17(Suppl 13):334
    Published on: 6 October 2016

    PGen: large-scale genomic variations analysis workflow and browser in SoyKB

    With the advances in next-generation sequencing (NGS) technology and significant reductions in sequencing costs, it is now possible to sequence large collections of germplasm in crops for detecting genome-scal...
    Yang Liu, Saad M. Khan, Juexin Wang, Mats Rynge, Yuanxun Zhang, Shuai Zeng, Shiyuan Chen, Joao V. Maldonado dos Santos, Babu Valliyodan, Prasad P. Calyam, Nirav Merchant, Henry T. Nguyen, Dong Xu and Trupti Joshi
    BMC Bioinformatics 2016 17(Suppl 13):337
    Published on: 6 October 2016

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