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- Volume 13, Issue 3, 2018
Current Bioinformatics - Volume 13, Issue 3, 2018
Volume 13, Issue 3, 2018
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Gene Selection Using High Dimensional Gene Expression Data: An Appraisal
Authors: Abhishek Bhola and Shailendra SinghMicroarray technology allows us to study the gene expression levels of thousands of genes over different experimental conditions in a single go. The gene expression data provided by microarray technology is of enormous size i.e. high dimensional which makes the downstream analysis a very challenging task. The gene selection is an essential process which removes the problem of dimensionality by removing irrelevant a Read More
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A Joint Probabilistic Model in DNA Sequences
By Huili LiuBackground: Most existing methods for comparing and analyzing DNA sequences use multiple sequence alignment (MSA) algorithms. However, the computation time required for MSA is usually very long and makes it impossible to analyze a large group of long DNA sequences. Objective: Here we propose a novel computational method to quickly characterize and compare DNA sequences. Method: We construct a new 2-dimensi Read More
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An Error Correction and DeNovo Assembly Approach for Nanopore Reads Using Short Reads
Authors: Mehdi Kchouk and Mourad ElloumiBackground: Error Correction is an important task in the analysis and manipulations of NGS data. The purpose of error correction is to facilitate data analysis for large projects like de novo assembly project. Here we present a new hybrid algorithm for error correction of long reads using short reads. Our algorithm can be flexibly adapted to different types of errors. Next, we make a de novo assembly for corrected long re Read More
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Drug and Nondrug Classification Based on Deep Learning with Various Feature Selection Strategies
Authors: Long Yu, Xia Sun, Shengwei Tian, Xinyu Shi and Yilin YanBackground: In the past decades, a number of methods are proposed for dealing with the classification of molecular data. Supervised ML methods such as linear discriminant analysis and decision trees were used to predict structural properties of molecules. Furthermore, logistic regression, Bayesian networks and artificial neural networks have been used to distinguish drugs and non-drugs. However, most of them can not hi Read More
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In-silico Evidences of Regulatory Roles of WT1 Transcription Factor Binding Sites on the Intervening Sequences of the Human Bcl-2 Gene
Background: Intervening sequences (introns) have significant effects on genomic regulations and molecular evolution. So, it deserves a deeper analysis for better understanding the possible regulatory roles of these regions. Objective and Method: Accordingly, the intron 2 (In-2) of the human B-cell lymphoma 2 (hBcl2) gene, with regard to the size of the In-2 as well as critical roles of the gene in the homeostatic of the cellular Read More
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A Therapeutic Paradigm to Appraise the Competence of Chitosan Oligosaccharide Lactate Targeting Monoamine Oxidase-A and P-Glycoprotein to Contest Depression by Channeling the Blood Brain Barrier
Authors: A. A. Margret and Ganesh Kumar ArumugamBackground: Depression is a serious mental ailment that is considered to be a global threat with an increased risk of prevalence. Drug development targeted against depression is an immense challenge as it encompasses multifaceted reasons with a poorly understood pathology along with the impediment of physiological blood brain barrier to the targeted site. Monoamine inhibitors are attainable as antidepressants since it has Read More
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Prediction of New Bacterial Type III Secreted Effectors with a Recursive Hidden Markov Model Profile-Alignment Strategy
Authors: Zhirong Guo, Xi Cheng, Xinjie Hui, Xingsheng Shu, Aaron P. White, Yueming Hu and Yejun WangBackground: To identify new bacterial type III secreted effectors is computationally a big challenge. At least a dozen machine learning algorithms have been developed, but so far have only achieved limited success. Sequence similarity appears important for biologists but is frequently neglected by algorithm developers for effector prediction, although large success was achieved in the field with this strategy a decade a Read More
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SARELI: Sequence Alignment by Radial Evaluation of Local Interactions
Authors: Ricardo Ortega, Arturo Chavoya, Cuauhtemoc Lopez-Martin and Luis DelayeBackground: A robust guide tree is necessary as a first step for the multiple sequence alignment of proteins. The guide tree is normally generated using an initial distance matrix based on a particular distance metric. Objective: A new tool for generating guide trees for multiple protein sequence alignment is presented. Method: The algorithm involved in the initialization of the progressive algorithm for the alignment of sequences i Read More
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Analysis of the Relative Movements Between EGFR and Drug Inhibitors Based on Molecular Dynamics Simulation
Authors: Lijiang Chen, Bin Zou, Victor H. F. Lee and Hong YanBackground: Mutation of EGFR is one of the most important drivers of non-small cell lung cancer. Many selective therapies take specific mutation of EGFR as target. For example, gefitinib is a commonly used front line drug for the mutations of exon 19 deletions and the L858R. New irreversible inhibitors, such as WZ4002, CO-1686, and AZD9291, are developed to overcome drug resistance caused by the acquired T790M mutatio Read More
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Conformational Hotspots of Dengue Virus NS5 RdRp
Authors: Fawad Khan, Ashfaq Ahmad, Abid Ali, Syed S. Ali and Tayyab Ur RehmanIntroduction: Dengue virus is among the most widespread mosquito-borne human pathogens with 5 different serotypes. A ratio of 3 to 7 structural and non-structural proteins is retained by the 10.7 kb viral RNA genome. The Dengue virus NS5, a non-structural and most conserved protein in the genome plays vital role in virus replication machinery. The C-terminal RNA-dependent RNA polymerase (RdRp) domain of NS5 has been Read More
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Profiling of Heat-Responsive microRNAs in Creeping Bentgrass (Agrostis stolonifera L.)
Authors: Haizhen Liu, Jian Li, Yongkun Chen, Yan Xu and Jichen XuBackground: MicroRNAs (miRNA) are a class of non-coding single-strand small RNAs and play important roles against abiotic stress. High temperature is one of the major adversities that plants suffered during their growth and development. Objective: The research here was intended to profile the miRNAs in creeping bentgrass to characterize the possible heat resistance mechanisms. Method: Normal and 42132;ƒ high Read More
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Volumes & issues
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Volume 20 (2025)
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Volume 19 (2024)
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Volume 18 (2023)
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Volume 17 (2022)
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Volume 16 (2021)
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Volume 15 (2020)
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Volume 14 (2019)
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Volume 13 (2018)
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Volume 12 (2017)
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Volume 11 (2016)
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Volume 10 (2015)
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Volume 9 (2014)
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Volume 8 (2013)
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Volume 7 (2012)
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Volume 6 (2011)
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Volume 5 (2010)
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Volume 4 (2009)
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Volume 3 (2008)
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Volume 2 (2007)
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Volume 1 (2006)
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