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Volume 20 Supplement 11

Selected articles from the 7th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2017): bioinformatics

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.

Orlando, FL, USA19-21 October 2017

Conference website

Edited by Danny Krizanc, Ion Mandoiu, Sanguthevar Rajasekaran, Pavel Skums, Alex Zelikovsky and Shaojie Zhang.

Other articles from this conference have been published as supplements in BMC Genomics and BMC Medical Genomics.

  1. The advent of single cell RNA sequencing (scRNA-seq) enabled researchers to study transcriptomic activity within individual cells and identify inherent cell types in the sample. Although numerous computational...

    Authors: Douglas Abrams, Parveen Kumar, R. Krishna Murthy Karuturi and Joshy George
    Citation: BMC Bioinformatics 2019 20(Suppl 11):275
    Content type: Research Published on:

  3. In the string correction problem, we are to transform one string into another using a set of prescribed edit operations. In string correction using the Damerau-Levenshtein (DL) distance, the permissible edit o...

    Authors: Chunchun Zhao and Sartaj Sahni
    Citation: BMC Bioinformatics 2019 20(Suppl 11):277
    Content type: Research Published on:

  4. Computing centrality is a foundational concept in social networking that involves finding the most “central” or important nodes. In some biological networks defining importance is difficult, which then creates ch...

    Authors: Trevor Cickovski, Vanessa Aguiar-Pulido and Giri Narasimhan
    Citation: BMC Bioinformatics 2019 20(Suppl 11):278
    Content type: Methodology Published on:

  5. Recent advances in whole-genome sequencing and SNP array technology have led to the generation of a large amount of genotype data. Large volumes of genotype data will require faster and more efficient methods ...

    Authors: Ardalan Naseri, Degui Zhi and Shaojie Zhang
    Citation: BMC Bioinformatics 2019 20(Suppl 11):279
    Content type: Research Published on:
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BMC Bioinformatics

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