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Volume 17 Supplement 13

Proceedings of the 13th Annual MCBIOS conference

Proceedings

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, USA3-5 May 2016

Edited by Jonathan Wren, Inimary Toby, Huziao Hong, Bindu Nanduri, Rakesh Kaundal, Mikhail G Dozmorov and Shradda Thakkar.

Conference website

  1. 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...

    Authors: 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…
    Citation: BMC Bioinformatics 2016 17(Suppl 13):333
  2. Comparative analysis of protein-protein interaction (PPI) networks provides an effective means of detecting conserved functional network modules across different species. Such modules typically consist of orth...

    Authors: Hyundoo Jeong, Xiaoning Qian and Byung-Jun Yoon
    Citation: BMC Bioinformatics 2016 17(Suppl 13):395
  3. As new technologies allow investigators to collect multiple forms of molecular data (genomic, epigenomic, transcriptomic, etc) and multiple endpoints on a clinical trial cohort, it will become necessary to eff...

    Authors: Xueyuan Cao, Kristine R. Crews, James Downing, Jatinder Lamba and Stanley B. Pounds
    Citation: BMC Bioinformatics 2016 17(Suppl 13):382
  4. 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...

    Authors: Mutlu Mete, Unal Sakoglu, Jeffrey S. Spence, Michael D. Devous Sr., Thomas S. Harris and Bryon Adinoff
    Citation: BMC Bioinformatics 2016 17(Suppl 13):357
  5. 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 ...

    Authors: Yongsheng Bai, Lizhong Ding, Steve Baker, Jenny M. Bai, Ethan Rath, Feng Jiang, Jianghong Wu, Hui Jiang and Gary Stuart
    Citation: BMC Bioinformatics 2016 17(Suppl 13):336
  6. 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 ...

    Authors: Sertan Kaya, Mustafa Bayraktar, Sinan Kockara, Mutlu Mete, Tansel Halic, Halle E. Field and Henry K. Wong
    Citation: BMC Bioinformatics 2016 17(Suppl 13):367
  7. 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 ...

    Authors: Si Chen, Lih-Yuan Deng, Dale Bowman, Jyh-Jen Horng Shiau, Tit-Yee Wong, Behrouz Madahian and Henry Horng-Shing Lu
    Citation: BMC Bioinformatics 2016 17(Suppl 13):381
  8. The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this study, we present an automated text mining...

    Authors: Sujoy Roy, Brandon C. Curry, Behrouz Madahian and Ramin Homayouni
    Citation: BMC Bioinformatics 2016 17(Suppl 13):350
  9. Discovering robust markers for cancer prognosis based on gene expression data is an important yet challenging problem in translational bioinformatics. By integrating additional information in biological pathwa...

    Authors: Navadon Khunlertgit and Byung-Jun Yoon
    Citation: BMC Bioinformatics 2016 17(Suppl 13):351
  10. 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...

    Authors: Mikyung Lee, Zhichao Liu, Ruili Huang and Weida Tong
    Citation: BMC Bioinformatics 2016 17(Suppl 13):368
  11. 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...

    Authors: Edmund R. Glass and Mikhail G. Dozmorov
    Citation: BMC Bioinformatics 2016 17(Suppl 13):334
  12. 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...

    Authors: 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
    Citation: BMC Bioinformatics 2016 17(Suppl 13):337

Annual Journal Metrics

  • Speed
    15 days to first decision for all manuscripts
    70 days to first decision for reviewed manuscripts only
    163 days from submission to acceptance
    36 days from acceptance to publication

    Citation Impact
    3.169 - 2-year Impact Factor
    3.629 - 5-year Impact Factor
    1.276 - Source Normalized Impact per Paper (SNIP)
    1.567 - SCImago Journal Rank (SJR)

    Usage 
    6,337,109 Downloads (2021)
    5089 Altmetric Mentions

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