New PDF release: Informatics In Proteomics

By Sudhir Srivastava

ISBN-10: 1574444808

ISBN-13: 9781574444803

The dealing with and research of information generated through proteomics investigations symbolize a problem for laptop scientists, biostatisticians, and biologists to enhance instruments for storing, retrieving, visualizing, and reading genomic information. Informatics in Proteomics examines the continued advances within the program of bioinformatics to proteomics examine and analysis.
Through computing device simulations, scientists can ensure extra approximately how illnesses impact cells, expect how quite a few drug interventions might paintings, and eventually use proteins as healing goals. This ebook first addresses the infrastructure wanted for public protein databases. It discusses info administration structures and person interfaces for garage, retrieval, and visualization of the information in addition to matters surrounding information standardization and integration of protein sequences recorded within the final 20 years. The authors for that reason learn the applying of statistical and bioinformatic instruments to facts research, facts presentation, and information mining. They speak about the implementation of algorithms, statistical tools, and machine functions that facilitate trend popularity and biomarker discovery through integrating information from a number of sources.
This ebook deals a well-rounded source of informatic methods to information garage, retrieval, and protein research in addition to application-specific bioinformatic instruments that may be utilized in sickness detection, analysis, and therapy. Informatics in Proteomics captures the present cutting-edge and gives a beneficial origin for destiny instructions.

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7. Verma, M. and Srivastava, S. New cancer biomarkers deriving from NCI early detection research. Recent Results Canc. , 163, 72–84; discussion, 264–266, 2003. 8. Verma, M. and Srivastava, S. Epigenetics in cancer: implications for early detection and prevention. , 3, 755–763, 2002. 9. , and Greco, A. Alteration of ribosomal protein maps in herpes simplex virus type 1 infection. J. Chromatogr. B Analyt. Technol. Biomed. , 771, 237–249, 2002. 10. J. Characterization by two-dimensional gel electrophoresis of host proteins whose synthesis is sustained or stimulated during the course of herpes simplex virus type 1 infection.

27. , et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet, 359, 572–577, 2002. 28. W. Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. Clin. , 48, 1296–1304, 2002. 29. , et al. The proportion of prostate-specific antigen (PSA) complexed to alpha(1)-antichymotrypsin improves the discrimination between prostate cancer and benign prostatic hyperplasia in men with a total PSA of 10 to 30 microg/L. Clin. , 48, 1251–1256, 2002.

And Aebersold, R. Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nat. , 17, 994–999, 1999. 32. , et al. Haptoglobin-alpha subunit as potential serum biomarker in ovarian cancer: Identification and characterization using proteomic profiling and mass spectrometry. Clin. Canc. , 9, 2904–2911, 2003. 33. , et al. Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men.

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Informatics In Proteomics by Sudhir Srivastava


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