A Practical Guide for Basic Bioinformatics and Biostatistics

A Practical Guide for Basic Bioinformatics and Biostatistics (English, Paperback, Pooja Tiwari, Pallavi Pandey)

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A Practical Guide for Basic Bioinformatics and Biostatistics  (English, Paperback, Pooja Tiwari, Pallavi Pandey)

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    Highlights
    • Language: English
    • Binding: Paperback
    • Publisher: Notion Press
    • Genre: Academic and Professional
    • ISBN: 9781946822260, 1946822264
    • Edition: 1, 2017
    • Pages: 272
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  • Description
    Salient features  Fundamentals for a self-learning endeavor.  Written in uncomplicated language and organized in logical order t ease the process of understanding.  Exemplary use of screenshots to describe each practical.  Parted into 2 sections: A. Bioinformatics exercises B. Biostatistics exercises.  First section is a tutorial of Bioinformatics with exercise using software/tools freely available on the Internet.  Second part addresses understanding of Biostatistical methods using MS EXCEL.
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    Book Details
    Publication Year
    • 2017
    Contributors
    Author Info
    • Pooja Tiwari is working as Assistant Professor of Bioinformatics at Mata Gujri College of Professional Studies, Indore, Madhya Pradesh, India. She has been teaching Bioinformatics and Biostatistics to the students of Biosciences background since 7 years, at Graduate and Post -graduate level. She has been involved as Expert in conducting workshops and seminars in various renowned Institutes. Her field of research interest is computational drug discovery and analysis. Pallavi Pandey is presently engaged in taking Expert lectures in various institutes of Indore and nearby places. She has over 7 years of teaching experience to the graduate and post graduate students of Bioinformatics, Biotechnology, Microbiology and Genetic Engineering at School of Biotechnology, Devi Ahilya University, Indore; SRGBN College, Sanawad and Maharaja Ranjit Singh College of Professional Sciences, Indore, Madhya Pradesh, India. Her field of research is Statistical analysis of biological data.
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    Height
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