Tantargy

Adatok

A Tantárgybejelentőben megadott hivatalos adatok az alábbi tanévre: 2024-2025

Tematika

Students will learn the process of research planning towards conducting research effectively together practical tips and resources for successful research planning. Topics overwieved: Application of Statistics: Choosing tests and analyzing graphs. Understanding of the methodology for selecting the appropriate statistical test based on research questions and data characteristics. Molecular modelling, supercomputing, molecular symmetries, QSAR properties. Bibliographic and Chemical databases, the SciFinder and its applications.

Előadások

Gyakorlatok

• 1. Overview of key concepts and applications in bioinformatics. - Ádám Zoltán Mihály
• 2. Overview of key concepts and applications in bioinformatics. - Ádám Zoltán Mihály
• 3. Process of research planning towards conducting research effectively. Practical tips and resources for successful research planning. - Ádám Zoltán Mihály
• 4. Process of research planning towards conducting research effectively. Practical tips and resources for successful research planning. - Ádám Zoltán Mihály
• 5. Prerequisites and assumptions for different statistical tests. Introduce students to the analysis and interpretation of common graph types in statistical data representation. - Ádám Zoltán Mihály
• 6. Prerequisites and assumptions for different statistical tests. Introduce students to the analysis and interpretation of common graph types in statistical data representation. - Ádám Zoltán Mihály
• 7. How to select appropriate chemical databases. Providing experience about selecting, downloading and visualization of chemical compounds and chemical reactions - Kálai Tamás
• 8. How to select appropriate chemical databases. Providing experience about selecting, downloading and visualization of chemical compounds and chemical reactions - Kálai Tamás
• 9. How to provide information about: Complex ("non-redundant") protein sequence databases. Sequence database formats. Secondary, derivative protein sequence databases. - Domián Bálint Márk
• ...

  10. How to provide information about: Complex ("non-redundant") protein sequence databases. Sequence database formats. Secondary, derivative protein sequence databases. - Domián Bálint Márk

  11. How to provide information about: Complex ("non-redundant") protein sequence databases. Sequence database formats. Secondary, derivative protein sequence databases. - Domián Bálint Márk
• 12. How to provide information about: Complex ("non-redundant") protein sequence databases. Sequence database formats. Secondary, derivative protein sequence databases. - Domián Bálint Márk
• 13. Tests - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk
• 14. Tests - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk
• 15. Data processing. Statistical analysis, selecting the relevant information. - Papp Alexandra
• ...

  16. Data processing. Statistical analysis, selecting the relevant information. - Papp Alexandra

  17. Data processing. Statistical analysis, selecting the relevant information. - Papp Alexandra

  18. Data processing. Statistical analysis, selecting the relevant information. - Papp Alexandra

  19. Data processing. Statistical analysis, selecting the relevant information. - Papp Alexandra
• 20. Data processing. Statistical analysis, selecting the relevant information. - Papp Alexandra
• 21. Vectorized calculations, supercomputers, rates, multiprocessor-computers, history. Operating systems, languages, batch-computing, partitions. Accessibilities, codes, translators, runs, architecture in Hungary - Kunsági-Máté Sándor
• 22. Vectorized calculations, supercomputers, rates, multiprocessor-computers, history. Operating systems, languages, batch-computing, partitions. Accessibilities, codes, translators, runs, architecture in Hungary - Kunsági-Máté Sándor
• 23. Geometry optimization, solvent models. Application examples: Amino acid, Nucleic acid databases, sequence editor - Kunsági-Máté Sándor
• 24. Geometry optimization, solvent models. Application examples: Amino acid, Nucleic acid databases, sequence editor - Kunsági-Máté Sándor
• 25. Molecular dynamics, molecular vibrations, entropy calculus. Chemical reactions, examples: surface properties, crystal growth, spectral properties, QSAR properties, Crystals, Saccharides, polymers - Kunsági-Máté Sándor
• 26. Molecular dynamics, molecular vibrations, entropy calculus. Chemical reactions, examples: surface properties, crystal growth, spectral properties, QSAR properties, Crystals, Saccharides, polymers - Kunsági-Máté Sándor
• 27. Tests - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk
• 28. Tests - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk

Szemináriumok

• 1. Introduction to Bioinformatics. Highlight the importance of bioinformatics in modern biology and biomedicine. - Ádám Zoltán Mihály
• 2. Introduction to Bioinformatics. Highlight the importance of bioinformatics in modern biology and biomedicine. - Ádám Zoltán Mihály
• 3. Scientific Research Planning. Importance of scientific research in academia and beyond. - Ádám Zoltán Mihály
• 4. Scientific Research Planning. Importance of scientific research in academia and beyond. - Ádám Zoltán Mihály
• 5. Application of Statistics: Choosing tests and analyzing graphs. Understanding of the methodology for selecting the appropriate statistical test based on research questions and data characteristics. - Ádám Zoltán Mihály
• 6. Application of Statistics: Choosing tests and analyzing graphs. Understanding of the methodology for selecting the appropriate statistical test based on research questions and data characteristics. - Ádám Zoltán Mihály
• 7. Bibliographic and Chemical databases, the SciFinder and its applications. - Kálai Tamás
• 8. Bibliographic and Chemical databases, the SciFinder and its applications. - Kálai Tamás
• 9. Bioinformatics databases. Provide information about: Molecular biology databases. Primary sequence databases. - Domián Bálint Márk
• 10. Bioinformatics databases. Provide information about: Molecular biology databases. Primary sequence databases. - Domián Bálint Márk
• 11. Bioinformatics databases. Providing information about: Nucleotide sequence databases: EMBL, GenBank, DDBJ. Protein sequence database: PIR, SWISS-PROT, TrEMBL. - Domián Bálint Márk
• 12. Bioinformatics databases. Providing information about: Nucleotide sequence databases: EMBL, GenBank, DDBJ. Protein sequence database: PIR, SWISS-PROT, TrEMBL. - Domián Bálint Márk
• 13. Summary and discussions, group-projects. - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk
• 14. Summary and discussions, group-projects. - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk
• 15. From the data to the scientific information: Dental composites - Papp Alexandra
• 16. From the data to the scientific information: Dental composites - Papp Alexandra
• 17. From the data to the scientific information: PCR - Papp Alexandra
• 18. From the data to the scientific information: PCR - Papp Alexandra
• 19. From the data to the scientific information: NanoString - Papp Alexandra
• 20. From the data to the scientific information: NanoString - Papp Alexandra
• 21. High-performance computing - Kunsági-Máté Sándor
• 22. High-performance computing - Kunsági-Máté Sándor
• 23. Molecular modelling basics - Kunsági-Máté Sándor
• ...

  24. Molecular modelling basics - Kunsági-Máté Sándor

  25. Molecular modelling basics - Kunsági-Máté Sándor
• 26. Molecular modelling basics - Kunsági-Máté Sándor
• 27. Summary and discussions, group-projects. - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk
• 28. Summary and discussions, group-projects. - Ádám Zoltán Mihály, Kunsági-Máté Sándor, Papp Alexandra, Kálai Tamás, Domián Bálint Márk

A tananyag elsajátításához szükséges segédanyagok

Kötelező irodalom

Micheal J. Crawley: The R Book 2007

Peter Dalgaard: Introductory statistics with R 2002

Saját oktatási anyag

Slides and notes of all lectures are available electronically.

Jegyzet

Slides and notes of all lectures are available electronically.

Ajánlott irodalom

T. K. Attwood, D. Parry-Smith: Introduction to bioinformatics; Longman, 2001, ISBN 978-0582327887

A félév elfogadásának feltételei

No additional requirements.

Félévközi ellenőrzések

Two tests written on the 7th and 14th weeks.

Távolmaradás pótlásának lehetőségei

Electronic materials provided.

Vizsgakérdések

What is bioinformatics? What are the branches, scope and aim of bioinformatics?

Classify biological databases based on data type, maintainer status, data access, data source, database design and Organism. Explain and give examples.

Selection of the appropriate equipment: Sensitivity, selectivity and data collecting. Data processing. Statistical analysis, selecting the relevant information. Conclusions.

Bibliographic and Chemical databases, the SciFinder and its applications.

How to select appropriate chemical databases. Providing experience about selecting, downloading and visualization of chemical compounds and chemical reactions

Give the applications of bioinformatics in drug discovery, QSAR, microbial genome and crop improvement.

Bioinformatics databases. The three primary database web access. Comparison of field structures.

Protein databases, comparisons. The most significant domain database. Examples for complex databases.

The use of UNIX/Linux operational system. Remote access: ssh, telnet. File handling, file movement among computers: scp, sftp, ftp, email.

Program execution: redirection of programme out- inputs. Computer networking basics.

Molecular symmetries, applications in computing. Workstations, common softwares. HyperChem and Gaussian protocols, input – output formats, visualization

Vizsgáztatók

Gyakorlatok, szemináriumok oktatói

• Ádám Zoltán Mihály
• Domián Bálint Márk
• Kálai Tamás
• Kunsági-Máté Sándor
• Papp Alexandra