Proteomics in Bioinformatics

Bioinformatics is one and the other an umbrella term for the body of biological studies that use computer programming as part of their procedure, as well as a allusion to clear-cut analysis "channels" that are frequently used, especially in the fields of genetics and genomics. Accepted uses of bioinformatics build the description of candidate genes and nucleotides.

Relevant Conferences:

7th International Conference & Exhibition on Proteomics during October 24-26, 2016 Rome, Italy; 2nd International Conference on Genetic & Protein Engineering during November 14-16, 2016 Atlanta, USA; International Conference & Expo on Molecular & Cancer Biomarkers during September 15-17, 2016 Berlin, Germany; 7th International Conference on Biomarkers and Clinical Research during November 28-30, 2016 Baltimore, USA; 5th International Conference on Computational Systems Biology during August 22-23, 2016 Philadelphia, USA; Gene transcription in yeast: From chromatin to RNA during June 11–16, 2016 Spain; Molecular & developmental biology Conference during June 19–25, 2016, Chania; 18th Bioinformatics & Computational Biology meeting during January 18 -19, 2016, UK; 21st Mass Spectrometry Conference (IMSC 2016) during August 20-26, 2016 Canada; 16th Spectroscopy of Biological Molecules Conference during September 06-10, 2015, Germany.

Structural bioinformatics is the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. Evolutionary Bioinformatics is a new consulting service which leverages the power of evolutionary conservation, integrating genomic, genetic and experimental data from a wide range of organisms to understand human genes and pathways. Translational Bioinformatics is the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health. Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Structural genomics seeks to describe the 3-dimensional structure of every protein encoded by a given genome. Next-generation sequencing (NGS), also known as high-throughput sequencing, is the catch-all term used to describe a number of different modern sequencing technologies including: Illumina (Solexa) sequencing. Bioinformatic tools are software programs that are designed for extracting the meaningful information from the mass of molecular biology / biological databases & to carry out sequence or structural analysis. Computational Biology, sometimes referred to as bioinformatics, is the science of using biological data to develop algorithms and relations among various biological systems. Prior to the advent of computational biology, biologists were unable to have access to large amounts of data.

  • Structural bioinformatics
  • Evolutionary bioinformatics
  • Translational bioinformatics
  • Machine learning in bioinformatics
  • Structural proteomics
  • Next generation sequencing technologies
  • Bioinformatics and computational proteomics
  • Bioinformatics tools and databases
  • Computational biology and bioinformatics
  • Bioinformatics algorithms

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