Edited by Ion Mandoiu, Sanguthevar Rajasekaran, Pavel Skums and Alex Zelikovsky.
Articles from this conference can also be found published in BMC Genomics.
Volume 18 Supplement 15
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.
Atlanta, GA, USA13-15 October 2016
The inference of species divergence time is a key step in most phylogenetic studies. Methods have been available for the last ten years to perform the inference, but the performance of the methods does not yet...
Citation: BMC Bioinformatics 2017 18(Suppl 15):514
An RNA folding/RNA secondary structure prediction algorithm determines the non-nested/pseudoknot-free structure by maximizing the number of complementary base pairs and minimizing the energy. Several implement...
Citation: BMC Bioinformatics 2017 18(Suppl 15):518
Understanding protein structure and dynamics is essential for understanding their function. This is a challenging task due to the high complexity of the conformational landscapes of proteins and their rugged e...
Citation: BMC Bioinformatics 2017 18(Suppl 15):502
Despite the recent progress in genome sequencing and assembly, many of the currently available assembled genomes come in a draft form. Such draft genomes consist of a large number of genomic fragments (scaffolds)...
Citation: BMC Bioinformatics 2017 18(Suppl 15):496
In recent years, protein-protein interaction (PPI) networks have been well recognized as important resources to elucidate various biological processes and cellular mechanisms. In this paper, we address the pro...
Citation: BMC Bioinformatics 2017 18(Suppl 15):491
Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus of great importance. Although computational prediction of which amino a...
Citation: BMC Bioinformatics 2017 18(Suppl 15):492
RNA sequencing technique (RNA-seq) enables scientists to develop novel data-driven methods for discovering more unidentified lincRNAs. Meantime, knowledge-based technologies are experiencing a potential revolu...
Citation: BMC Bioinformatics 2017 18(Suppl 15):511
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