Current Bioinformatics - Volume 14, Issue 1, 2019

Background: Biological network alignment has been widely studied in the context of protein-protein interaction (PPI) networks, metabolic networks and others in bioinformatics. The topological structure of networks and genomic sequence are generally used by existing methods for achieving this task. Objective and Method: Here we briefly survey the methods generally used for this task and introduce a variant with incorporati Read More

Background: RNA methylome has been discovered as an important layer of gene regulation and can be profiled directly with count-based measurements from high-throughput sequencing data. Although the detailed regulatory circuit of the epitranscriptome remains uncharted, clustering effect in methylation status among different RNA methylation sites can be identified from transcriptome-wide RNA methylatio Read More

Background: Recent advances in next-generation sequencing technology allow highthroughput RNA-Sequencing to be widely applied in studying coding and non-coding RNA profiling in cells. RNA-Seq data usually contains functional transcriptomic and other small and larger non-coding (nc) RNA sequences. Objective: MicroRNAs (miRNAs), a small nc-RNA act as epigenetic markers and the expression of their target genes and Read More

Background: MicroRNAs (miRNAs) are groups of small non-protein-coding endogenous single stranded RNAs with approximately 18-24 nucleotides in length. High evolutionary sequence conservation of miRNAs among plant species and availability of powerful computational tools allow identification of new orthologs and paralogs. Methods: New conserved miRNAs in P. patens were found by EST-based homology search a Read More

Background: Metabolomics data generation and quantification are different from other types of molecular “omics” data in bioinformatics. Mass spectrometry (MS) based (gas chromatography mass spectrometry (GC-MS), liquid chromatography mass spectrometry (LC-MS), etc.) metabolomics data frequently contain missing values that make some quantitative analysis complex. Typically metabolomics datasets c Read More

Background: Riboswitches are structured elements that usually reside in the noncoding regions of mRNAs, with which various ligands bind to control a wide variety of downstream gene expressions. To date, more than twenty different classes of riboswitches have been characterized to sense various metabolites, including purines and their derivatives, coenzymes, amino acids, and metal ions, etc. Objective: This study aims to s Read More

Background: Gastric cancer is one of the leading causes of cancer-related mortality worldwide. Genome-wide transcriptional profiling has provided valuable insights into the molecular basis underlying processes involved in gastric cancer initiation and progression. Objective: To understand the pathological and biological mechanisms of gastric cancer metastasis in a genome-wide context. Method: In this study, we constructed li Read More

Background: Protein Stability Determination (PSD) is a sequence-based bioinformatics tool which was developed by utilizing a large input of datasets of protein sequences in FASTA format. The PSD can be used to analyze the meta-proteomics data which will help to predict and design thermozyme and mesozyme for academic and industrial purposes. The PSD also can be utilized to analyze the protein sequence and to Read More

Background: Gene expression profiling and transcriptomics provide valuable information about the role of genes that are differentially expressed between two or more samples. It is always important and challenging to analyse High-throughput DNA microarray data with a number of missing values under various experimental conditions. Objectives: Graphical data visualizations of the expression of all genes in a particular cell Read More