Computational biology and applied bioinformatics

Description

Content: Molecular evolution & phylogeny: what, when, why & how? -- Understanding protein function -- the disparity between bioinformatics and molecular methods -- In silico identification of regulatory elements in promoters -- In silico analysis of Golgi glycosyltransferases: a case study on the LARGE-like protein family -- Microarray technology -- expression profiling of MRNA and MicroRNA in breast cancer -- Computational tools for identification of microRNAs in deep sequencing data sets -- Computational methods in mass spectrometry-based protein 3D studies -- Synthetic biology & bioinformatics prospects in the cancer arena -- An overview of hardware-based acceleration of biological sequence alignment -- Retrieving and categorizing bioinformatics publications through a multiagent system -- GRID computing and computational immunology -- A comparative study of machine learning and evolutionary computation approaches for protein secondary structure classification -- Functional analysis of the cervical carcinoma transcriptome: networks and new genes associated to cancer -- Number distribution of transmembrane helices in prokaryote genomes -- Classifying TIM barrel protein domain structure by an alignment approach using best hit strategy and PSI-BLAST -- Identification of functional diversity in the enolase superfamily proteins -- Contributions of structure comparison methods to the protein structure prediction field -- Functional analysis of intergenic regions for gene discovery -- Prediction of transcriptional regulatory networks for retinal development -- The use of functional genomics in synthetic promoter design -- Analysis of transcriptomic and proteomic data in immune-mediated diseases -- Emergence of the diversified short ORFeome by mass spectrometry-based proteomics -- Acrylamide binding to its cellular targets: insights from computational studies.