Bioinformatics for Beginners by Supratim Choudhuri
- Publisher: BIOLOGY
- Availability: In Stock
- SKU: 54498
- Number of Pages: 238
Rs.590.00
Rs.795.00
Tags: Bioinformatic analysis , Bioinformatics , Bioinformatics algorithms , Bioinformatics for Beginners , Bioinformatics software , Bioinformatics techniques , Biological data analysis , Biological databases , Biological networks , Biomedical informatics , Comparative genomics , Computational biology , Computational genomics , Databases , digital shopping , DNA sequencing , Evolutionary biology , Functional genomics , Gene expression , Gene prediction , Genetic variation , Genetics , Genome analysis , Genomic data analysis , Genomics , High-throughput sequencing , Metagenomics , Molecular evolution , Molecular modeling , Molecular phylogenetics , Next-generation sequencing , Phylogenetics , Protein structure , Proteomics , RNA sequencing , Sequence alignment , Sequence analysis , Sequence annotation , Sequence assembly , Sequence databases , Sequence motif analysis , Structural bioinformatics , Supratim Choudhuri , Systems biology , Transcriptomics
Bioinformatics for Beginners
Supratim Choudhuri
Quality : Black White Paper
Bioinformatics for Beginners by Supratim Choudhuri is a comprehensive guide aimed at introducing bioinformatics to those who are new to the field. It provides a solid foundation for understanding the computational and statistical tools used in bioinformatics, helping beginners grasp the core concepts and techniques that are used in analyzing biological data.
Key Features:
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Introduction to Bioinformatics: The book starts by introducing the basics of bioinformatics, providing an overview of the field, its significance in modern biology, and how it integrates computational methods with biological research.
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Core Bioinformatics Concepts: Topics like DNA sequencing, genomics, proteomics, sequence alignment, and gene expression analysis are discussed in detail.
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Practical Approach: The book focuses on practical aspects of bioinformatics, guiding readers through the use of bioinformatics tools, databases, and software commonly used in the field.
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Programming and Algorithms: It introduces basic programming concepts and algorithms, particularly focusing on Python and R, which are widely used in bioinformatics for data analysis and visualization.
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Data Analysis: The book teaches how to analyze biological data sets, including genomic sequences, protein structures, and microarray data, emphasizing the importance of data processing, visualization, and interpretation.
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Real-World Applications: The book covers how bioinformatics is applied in areas such as personalized medicine, drug discovery, genomics, and disease research.
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Step-by-Step Tutorials: To make learning accessible, it provides step-by-step tutorials and case studies, helping readers practice and apply what they have learned.