Skip to main content

Volume 19 Supplement 11

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

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. 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:

  5. 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:

  6. 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:

  7. 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:
Submit manuscript

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 3.6
    Source Normalized Impact per Paper (SNIP): 0.821
    SCImago Journal Rank (SJR): 1.005

    Speed 2023
    Submission to first editorial decision (median days): 12
    Submission to acceptance (median days): 146

    Usage 2023
    Downloads: 5,987,678
    Altmetric mentions: 4,858

Follow

Sign up for article alerts and news from this journal

BMC Bioinformatics

ISSN: 1471-2105

Contact us