Selected original articles from the Sixth International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2019): genomics

Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Authors: Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci and Ranadip Pal

ComHapDet: a spatial community detection algorithm for haplotype assembly

Haplotypes, the ordered lists of single nucleotide variations that distinguish chromosomal sequences from their homologous pairs, may reveal an individual’s susceptibility to hereditary and complex diseases an...

Authors: Abishek Sankararaman, Haris Vikalo and François Baccelli

GLaMST: grow lineages along minimum spanning tree for b cell receptor sequencing data

B cell affinity maturation enables B cells to generate high-affinity antibodies. This process involves somatic hypermutation of B cell immunoglobulin receptor (BCR) genes and selection by their ability to bind...

Authors: Xingyu Yang, Christopher M. Tipton, Matthew C. Woodruff, Enlu Zhou, F. Eun-Hyung Lee, Inãki Sanz and Peng Qiu

Analysis of two mechanisms of telomere maintenance based on the theory of g-Networks and stochastic automata networks

Background Telomeres, which are composed of repetitive nucleotide sequences at the end of chromosomes, behave as a division clock that measures replicative senescence. Under the normal physiological condition,...

Authors: Kyung Hyun Lee and Marek Kimmel

Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data

Single-cell RNA sequencing (scRNA-seq) is a powerful profiling technique at the single-cell resolution. Appropriate analysis of scRNA-seq data can characterize molecular heterogeneity and shed light into the u...

Authors: Siamak Zamani Dadaneh, Paul de Figueiredo, Sing-Hoi Sze, Mingyuan Zhou and Xiaoning Qian