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Volume 21 Supplement 18

Proceedings from the 8th Workshop on Computational Advances in Molecular Epidemiology (CAME 2019)

Research

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. Supplement Editors were not directly involved in the review process of articles they had co-authored. No other competing interests were declared.

Niagara Falls, NY, USA07 September 2019

Conference website

Edited by Yury Khudyakov, Ion Mandoiu, Pavel Skums and Alex Zelikovsky.

  1. Drug resistance is a critical problem limiting effective antiviral therapy for HIV/AIDS. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice...

    Authors: Dhara Shah, Christopher Freas, Irene T. Weber and Robert W. Harrison
    Citation: BMC Bioinformatics 2020 21(Suppl 18):497
    Content type: Research Published on:

  2. In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular among researchers. One such issue is feature or gene ...

    Authors: Sudipta Acharya, Laizhong Cui and Yi Pan
    Citation: BMC Bioinformatics 2020 21(Suppl 18):483
    Content type: Methodology Published on:

  3. Personalized cancer vaccines are emerging as one of the most promising approaches to immunotherapy of advanced cancers. However, only a small proportion of the neoepitopes generated by somatic DNA mutations in...

    Authors: Elham Sherafat, Jordan Force and Ion I. Măndoiu
    Citation: BMC Bioinformatics 2020 21(Suppl 18):498
    Content type: Research Published on:

  5. Addiction to drugs and alcohol constitutes one of the significant factors underlying the decline in life expectancy in the US. Several context-specific reasons influence drug use and recovery. In particular em...

    Authors: Deeptanshu Jha and Rahul Singh
    Citation: BMC Bioinformatics 2020 21(Suppl 18):554
    Content type: Research Published on:

  6. As the number of RNA-seq datasets that become available to explore transcriptome diversity increases, so does the need for easy-to-use comprehensive computational workflows. Many available tools facilitate ana...

    Authors: Noel-Marie Plonski, Emily Johnson, Madeline Frederick, Heather Mercer, Gail Fraizer, Richard Meindl, Gemma Casadesus and Helen Piontkivska
    Citation: BMC Bioinformatics 2020 21(Suppl 18):578
    Content type: Software Published on:
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BMC Bioinformatics

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