Computer Applications in Bio

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About this app

📚 Computer Applications in Bio (2025-2026)

🧠 Master the future of biology through computation!Ace your exams with one smart app — covering syllabus book, MCQs, quizzes, and exam questions from Computer Applications in Biology. A complete digital companion for BSc, BS, and IT biology learners.

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📘 Chapter 1: Introduction to Computer Applications in Biology
🔹 Scope and Significance of Computer Use in Biology
🔹 Historical Development of Computational Biology
🔹 Role of Computers in Modern Biological Sciences
🔹 Ethical and Societal Implications

📗 Chapter 2: Fundamentals of Biological Data and Databases
🔹 Types of Biological Data – Genomic, Proteomic, Metabolomic
🔹 Structure and Organization of Biological Databases
🔹 Primary and Protein Databases – GenBank, UniProt, PDB
🔹 Database Searching Tools and Techniques

📙 Chapter 3: Bioinformatics and Sequence Analysis
🔹 DNA, RNA, and Protein Sequence Formats
🔹 Sequence Alignment – Pairwise and Multiple
🔹 BLAST and FASTA Algorithms
🔹 Phylogenetic Tree Construction and Analysis

📘 Chapter 4: Computational Genomics and Proteomics
🔹 Genome Sequencing Methods and Assembly
🔹 Functional Annotation and Comparative Genomics
🔹 Proteome Analysis and Protein Structure Prediction
🔹 Applications in Medicine and Agriculture

📗 Chapter 5: Systems Biology and Computational Modeling
🔹 Concept of Systems Biology
🔹 Mathematical Modeling and Simulation Tools
🔹 Pathway Analysis and Visualization
🔹 Applications in Drug Discovery and Personalized Medicine

📙 Chapter 6: Structural Bioinformatics and Molecular Visualization
🔹 Protein Structure Levels and Determination Methods
🔹 Molecular Modeling and Docking Studies
🔹 Visualization Tools – PyMOL, Chimera, RasMol
🔹 Virtual Screening and Structure-Based Drug Design

📘 Chapter 7: Biostatistics and Data Analysis in Biology
🔹 Descriptive and Inferential Statistics
🔹 Probability, Regression, and Correlation
🔹 Applications of R and Python in Biology
🔹 Case Studies in Data-Driven Research

📗 Chapter 8: Machine Learning and Artificial Intelligence in Biology
🔹 Overview of AI and ML in Life Sciences
🔹 Deep Learning for Genomics and Proteomics
🔹 AI in Drug Discovery and Medical Imaging
🔹 Challenges and Future Perspectives

📙 Chapter 9: Computational Tools and Software in Biology
🔹 NCBI Tools and Online Resources
🔹 Genome Browsers and Visualization Platforms
🔹 Sequence Editing and Open-Source Software
🔹 Cloud Computing in Biological Research

📘 Chapter 10: Applications of Computer Science in Applied Biology
🔹 Computers in Environmental and Medical Biology
🔹 Computational Epidemiology and Disease Modeling
🔹 Agricultural Bioinformatics and Forensic Biology
🔹 Future Trends and Emerging Technologies

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Why Choose This App?
🔹 Full syllabus coverage
🔹 Chapter-wise quizzes and MCQs
🔹 Exam-focused questions
🔹 Easy-to-understand structure
🔹 Perfect for BSc, BS, and IT students

✍ This app is inspired by the authors:
Zhumur Ghosh & Bibekanand Mallick, Alessandro Vespignani, Hamid R. Arabnia & Quoc Nam Tran, Irena Cosic

📲 Download now and explore the power of Computer Applications in Biology!
Updated on
27 Nov 2025

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region and age. The developer provided this information and may update it over time.
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Data is encrypted in transit
Data can’t be deleted

What's new

📢 Introducing Computer Applications in Bio (2025-2026 Edition)
A complete academic companion for BSc, BS, and IT Biology students.

📘 What’s Inside:
✅ Full syllabus book – structured and organized
✅ Chapter-wise MCQs and quizzes for exam preparation
✅ Practice exam questions for better understanding
✅ Interactive and easy-to-use interface
✅ Improved performance and smooth navigation

🧬 Learn. Practice. Excel in Computer Applications in Bio

App support

About the developer
kamran Ahmed
kamahm707@gmail.com
Sheer Orah Post Office, Sheer Hafizabad, Pallandri, District Sudhnoti Pallandri AJK, 12010 Pakistan
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