alexa Academic Journals In Peptide Profiles|OMICS International|Journal Of Molecular Biomarkers And Diagnosis

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Academic Journals In Peptide Profiles

Academic journals are periodicals in which researchers publish their findings, mostly the recent ones. Academic journals are typically peer-reviewed journals that publish theoretical discussions and articles that critically review already published work. Academic journals serve as an important forum for researchers and academicians from where they can access important information about recent developments in their field. These journals are the first choice for any in-depth examination of an issue related to science. Science as we know is scarcely imaginable without the academic journal. OMICS Group International Journals fall under the academic category as they strictly adhere to peer-review process and follow the format by publishing mostly the original work. OMICS International journals publish periodically and contain a series of articles in each published issue. OMICS Group International is successfully running 700+ peer-reviewed journals and organizing over 100 International Science Conferences annually with the support of 30, 000 editorial board members. OMICS Group International signed an agreement with more than 100 international societies to make health care information Open Access. Serum peptide and protein profiling studies are widely employed in biomarker discovery studies. In MS-based clinical proteomics, peptide- or protein levels in serum of healthy and diseased individuals are mapped in a single spectrum, aiming for identifying differences. The signature of biomarker candidates that is found through proteomics studies holds great promise for personalized medicine. Multiple data handling strategies have been reported for the processing and statistical analysis of peptide- and protein profiles, either model-based or applying different feature selection strategies. Initially, feature selection was based on simple binning procedures or finding local maxima. The accuracy of Mass Spectrometry (MS)-based analysis of peptides in complex biological mixtures improves upon using high resolution instrumentation. However, high resolution content poses challenges to data processing and statistical analysis. Here, three different data handling strategies were evaluated with respect to classification performance using a well-defined cohort of serum samples from Duchenne Muscular Dystrophy (DMD) patients and controls. For this purpose, serum samples were purified using a solid-phase extraction (SPE) protocol based on Reversed-Phase (RP) C18 magnetic beads. Isotopically-resolved peptide profiles were acquired on a Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) mass spectrometer and examined by either using the full mass spectrum or after selecting peaks between 1000
 
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Last date updated on July, 2014