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Volume 19 Supplement 11

Proceedings from the 6th Workshop on Computational Advances in Molecular Epidemiology (CAME 2017)


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.

Boston, MA, USA20 August 2017

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

Conference website

  1. Molecular surveillance and outbreak investigation are important for elimination of hepatitis C virus (HCV) infection in the United States. A web-based system, Global Hepatitis Outbreak and Surveillance Technol...

    Authors: Seth Sims, Atkinson G. Longmire, David S. Campo, Sumathi Ramachandran, Magdalena Medrzycki, Lilia Ganova-Raeva, Yulin Lin, Amanda Sue, Hong Thai, Alexander Zelikovsky and Yury Khudyakov

    Citation: BMC Bioinformatics 2018 19(Suppl 11):358

    Content type: Methodology

    Published on:

  2. Reconstructing individual transmission events in an infectious disease outbreak can provide valuable information and help inform infection control policy. Recent years have seen considerable progress in the de...

    Authors: Finlay Campbell, Xavier Didelot, Rich Fitzjohn, Neil Ferguson, Anne Cori and Thibaut Jombart

    Citation: BMC Bioinformatics 2018 19(Suppl 11):363

    Content type: Software

    Published on:

  3. Drug resistance in HIV is the major problem limiting effective antiviral therapy. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice of the...

    Authors: Shrikant D. Pawar, Christopher Freas, Irene T. Weber and Robert W. Harrison

    Citation: BMC Bioinformatics 2018 19(Suppl 11):362

    Content type: Research

    Published on:

  4. Many biological analysis tasks require extraction of families of genetically similar sequences from large datasets produced by Next-generation Sequencing (NGS). Such tasks include detection of viral transmissi...

    Authors: Viachaslau Tsyvina, David S. Campo, Seth Sims, Alex Zelikovsky, Yury Khudyakov and Pavel Skums

    Citation: BMC Bioinformatics 2018 19(Suppl 11):360

    Content type: Methodology

    Published on:

  5. The Epi-Info software suite, built and maintained by the Centers for Disease Control and Prevention (CDC), is widely used by epidemiologists and public health researchers to collect and analyze public health d...

    Authors: Blake Camp, Jaya Krishna Mandivarapu, Nagashayan Ramamurthy, James Wingo, Anu G. Bourgeois, Xiaojun Cao and Rajshekhar Sunderraman

    Citation: BMC Bioinformatics 2018 19(Suppl 11):359

    Content type: Software

    Published on:

  6. Determining patterns of nucleotide and amino acid substitution is the first step during sequence evolution analysis. However, it is not easy to visualize the different phylogenetic signatures imprinted in alig...

    Authors: Kun Zhao, Elizabeth Henderson, Kelley Bullard, M. Steven Oberste, Cara C. Burns and Jaume Jorba

    Citation: BMC Bioinformatics 2018 19(Suppl 11):364

    Content type: Software

    Published on:

Annual Journal Metrics

  • Speed
    70 days to first decision for reviewed manuscripts only
    44 days to first decision for all manuscripts
    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)

    5089 Altmetric Mentions