Introduction to the CSBio2014 special issue

  title={Introduction to the CSBio2014 special issue},
  author={X. Li and Jie Zheng},
  journal={Journal of bioinformatics and computational biology},
  volume={13 3},
  • X. Li, Jie Zheng
  • Published 15 May 2015
  • Computer Science
  • Journal of bioinformatics and computational biology
The 5th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2014) was hosted at Nanyang Technological University from 10th to 12th November 2014, and was jointly organised by Nanyang Technological University, National University of Singapore, Agency for Science, Technology and Research (A*STAR) and King Mongkut's University of Technology Thonburi. The CSBio conference brought together researchers and practitioners to exchange ideas and stimulate research… 


Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates
This paper proposes a hybridized method to predict synthetic lethality pairs of genes that combines a data-driven model with knowledge of signalling pathways to simulate the influence of single gene knock-down and double genes knock- down to cell death.
Investigating noise tolerance in an efficient engine for inferring biological regulatory networks
This study investigated the noise tolerance of the proposed inferring engine, prepared the noise data using the Langevin equation, and compared the performance of the method with that of alternative optimization methods.
Embedding assisted prediction architecture for event trigger identification
A word embedding assisted neural network prediction model is proposed to conduct event trigger identification and it is believed that this study could offer researchers insights into semantic-aware solutions for eventtrigger identification.
Grid-Assembly: An oligonucleotide composition-based partitioning strategy to aid metagenomic sequence assembly
Validation results indicate that the Grid-Assembly approach helps in improving the overall quality of assembly, in terms of the purity and volume of the assembled contigs.
Computationally predicting protein-RNA interactions using only positive and unlabeled examples
This paper proposes a novel method PRIPU that employs biased-support vector machine (SVM) for predicting Protein-RNA Interactions using only Positive and Unlabeled examples, and is the first work that predicts PRIs using only positive and unlabeled samples.
PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking
A new method called PSOVina is presented which combined the particle swarm optimization (PSO) algorithm with the efficient Broyden-Fletcher-Goldfarb-Shannon local search method adopted in AutoDock Vina to tackle the conformational search problem in docking.
FQC: A novel approach for efficient compression, archival, and dissemination of fastq datasets
This study presents FQC, a fastq compression method that, in addition to providing significantly higher compression gains over GZIP, incorporates features necessary for universal adoption by data repositories/end-users and proposes a novel archival strategy which allows sequence repositories to simultaneously store and disseminate lossless as well as (multiple) lossy variants of fastq files, without necessitating any additional storage requirements.