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Can I read Proteomic Methods in Neuropsychiatric Research (Advances in Experimental Medicine and Biology, 974) on EtoBox?

Proteomic Methods in Neuropsychiatric Research (Advances in Experimental Medicine and Biology, 974) by Paul C. Guest is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Proteomic Methods in Neuropsychiatric Research (Advances in Experimental Medicine and Biology, 974) about?

Due To Continuous Technical Developments And New Insights Into The High Complexity Of Neurological Diseases, There Is An Increasing Need For The Application Of Proteomic Technologies Which Can Yield Potential Biomarker Readouts For Improved Clinical Management As Well As For The Development Of New Drugs By Struggling Pharmaceutical Companies. This Book Describes The Step-by-step Use Of Proteomic Methods Such As Two-dimensional Gel Electrophoresis, Multiplex Immunoassay, Liquid Chromatography Mass Spectrometry (lc-ms) And Selective Reaction Monitoring Ms, To Increase Our Understanding Of These Diseases, With The Ultimate Aim Of Improving Patient Care. The Volume Will Be Of High Interest To Clinical Scientists, Physicians And Pharmaceutical Company Scientists As It Gives Insights Into The Latest Technologies Enabling The Revolution Of Personalized Medicine. It Is Of Direct Interest To Both Technical And Bench Biomarker Scientists As It Gives Step By Step Instructions On How To Carry Out Each Of The Protocols. It Is Also Of Interest To Researchers As Each Technique Will Be Presented In The Context Of A Specific Neurological Disorder, Including Alzheimer's Disease, Multiple Sclerosis,

Who reads Proteomic Methods in Neuropsychiatric Research (Advances in Experimental Medicine and Biology, 974)?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Paul C. Guest
Publisher
Springer International Publishing Imprint : Springer
Published
2017
Language
EN
ISBN
9783319524788
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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