Introduction to bioinformatics.pptx
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Bioinformatics is the application of computational techniques to analyze and interpret biological data. It connects biology with computer science. Some key applications of bioinformatics include genomics, proteomics, structural biology, pharmacogenomics, and comparative genomics. Popular databases used in bioinformatics are NCBI, BLAST, Swiss-Model, UniProt, KEGG, and Cytoscape. Free online courses are available from Coursera and popular journals include Bioinformatics, Journal of the American Medical Informatics Association, and PLoS Computational Biology.
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Pcmd bioinformatics-lecture i
This document discusses the collaboration between molecular medicine and bioinformatics. It defines bioinformatics as the science of storing, retrieving, and analyzing large amounts of biological data, cutting across biology, computer science, and mathematics. It gives examples of how bioinformatics can be applied in molecular medicine for studying pathogenicity, therapeutic targets, molecular diagnostics, and host-pathogen interactions. The document also outlines how bioinformatics supports molecular medicine through genome analysis, database and tool development, and describes some catalysts like genome sequencing that have expanded bioinformatics.
origin, history.pptx
This document discusses the origin, history, and applications of bioinformatics. It begins by defining bioinformatics as the use of computation to extract knowledge from biological data through collection, storage, manipulation and modeling of data for analysis and prediction. The history section notes that the term was coined in the 1970s but applications expanded in the 1990s with increased molecular biology data. It then outlines several key applications of bioinformatics like functional genomics, structural genomics, comparative genomics, and medical informatics.
Bioinformatics.pptx
BIOINFORMATICS :
The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper to describe “the study of informatic processes in biotic systems”.
DEFINITION :
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Or Bioinformatics is computer applications in biological sciences. Or Bioinformatics is the symbiotic relationship between computational and biological sciences.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data.
The key areas of Bioinformatics include biological databases, sequence alignment, gene and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics, and proteomics.
COMPONENTS OF BIOINFORMATICS :
The main components of Bioinformatics are as follows :
1. CREATION OF DATABASE : Allows the storage and management of biological data.
2. DEVELOPMENT OF ALGORITHMS AND STATISTICS : To determine relationships among the members of large data.
3. ANALYSIS AND INTERPRETATION OF BIOLOGICAL DATA : Including DNA, RNA and protein sequences, protein structures, drug designing, molecular modelling, gene expression profiles and biochemical pathways.
GLOBAL IMPORTANCE OF BIOINFORMATICS :
The long sequences and enormous flow data in molecular biology becomes difficult to manage data by persons or by organisations. With the help of computers through internet and Intranet, sharing of data with others in organisation throughout the world is becoming routine. This helps in the research and makes it easier for scientists to download, analyse, compare and exchange information. Bioinformatics has applications in
1. Data base query tools.
2. Sequence analysis
3. Gene identification
4. Genome mapping and comparison
5. Structure prediction
6. Drug design and drug target identification.
THRUST AREAS OF BIOINFORMATICS :
1. Elicitation of DNA sequences from genetic material
2. Sequence annotation (ex. With information from experiments)
3. Understanding the control of gene expression ( i.e under what circumstances proteins are transcribed from DNA)
4. The relationship between the aminoacid sequence of proteins and their structure.
5. Drug design
6. Molecular modelling
7. Identification of genetic risk factors
8. Gene therapy
9. Genetic modification(productivity and quality ) of food crops and animals, etc.
10. Biological warfare, crime, etc.
11. Understanding evolution, comparative genomics.
4.1 introduction to bioinformatics
The document discusses bioinformatics, defining it as the application of information technology to the field of molecular biology. It describes how bioinformatics uses biology, mathematics, and computer science to analyze and manage biological data. Some key applications of bioinformatics mentioned are sequence analysis, prediction of protein structure, genome annotation, comparative genomics, and health/drug discovery. Several important bioinformatics resources are also outlined, including NCBI, PubMed, EMBL, and OMIM.
Introduction to Bioinformatics
This document discusses bioinformatics, including its goals and applications. Bioinformatics is defined as applying information technology to store, organize, and analyze vast amounts of biological data, such as sequences and structures of proteins and nucleic acids. It merges biology, mathematics, statistics, computer science, and information technology. Bioinformatics helps analyze gene and protein expression, compare genomic data, and simulate DNA, RNA, and proteins. It has applications in molecular medicine, drug development, microbial genomics, crop improvement, and more. Common bioinformatics tools include BLAST for comparing biological sequences.
Bioinformatics .pptx
Bioinformatics is an interdisciplinary field involving biology, computer science, mathematics and statistics. It addresses large-scale biological problems from a computational perspective. Common problems include modeling biological processes at the molecular level and making inferences from collected data. A bioinformatics solution typically involves collecting statistics from biological data, building a computational model, solving a computational problem, and testing the algorithm. Bioinformatics plays a role in areas like structural genomics, functional genomics and nutritional genomics. It is used for applications such as transcriptome analysis, drug discovery, cheminformatics analysis, and more. It is an important tool in fields like molecular medicine, gene therapy, microbial genome applications, antibiotic resistance, and evolutionary studies. Biological databases are important for organizing
LECTURE NOTES ON BIOINFORMATICS
introduction,history scope and applications of
relation to other fields , bioinformatics,biological databases,computers internet,sequence development, and
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Pcmd bioinformatics-lecture i
This document discusses the collaboration between molecular medicine and bioinformatics. It defines bioinformatics as the science of storing, retrieving, and analyzing large amounts of biological data, cutting across biology, computer science, and mathematics. It gives examples of how bioinformatics can be applied in molecular medicine for studying pathogenicity, therapeutic targets, molecular diagnostics, and host-pathogen interactions. The document also outlines how bioinformatics supports molecular medicine through genome analysis, database and tool development, and describes some catalysts like genome sequencing that have expanded bioinformatics.
origin, history.pptx
This document discusses the origin, history, and applications of bioinformatics. It begins by defining bioinformatics as the use of computation to extract knowledge from biological data through collection, storage, manipulation and modeling of data for analysis and prediction. The history section notes that the term was coined in the 1970s but applications expanded in the 1990s with increased molecular biology data. It then outlines several key applications of bioinformatics like functional genomics, structural genomics, comparative genomics, and medical informatics.
Bioinformatics.pptx
BIOINFORMATICS :
The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper to describe “the study of informatic processes in biotic systems”.
DEFINITION :
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Or Bioinformatics is computer applications in biological sciences. Or Bioinformatics is the symbiotic relationship between computational and biological sciences.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data.
The key areas of Bioinformatics include biological databases, sequence alignment, gene and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics, and proteomics.
COMPONENTS OF BIOINFORMATICS :
The main components of Bioinformatics are as follows :
1. CREATION OF DATABASE : Allows the storage and management of biological data.
2. DEVELOPMENT OF ALGORITHMS AND STATISTICS : To determine relationships among the members of large data.
3. ANALYSIS AND INTERPRETATION OF BIOLOGICAL DATA : Including DNA, RNA and protein sequences, protein structures, drug designing, molecular modelling, gene expression profiles and biochemical pathways.
GLOBAL IMPORTANCE OF BIOINFORMATICS :
The long sequences and enormous flow data in molecular biology becomes difficult to manage data by persons or by organisations. With the help of computers through internet and Intranet, sharing of data with others in organisation throughout the world is becoming routine. This helps in the research and makes it easier for scientists to download, analyse, compare and exchange information. Bioinformatics has applications in
1. Data base query tools.
2. Sequence analysis
3. Gene identification
4. Genome mapping and comparison
5. Structure prediction
6. Drug design and drug target identification.
THRUST AREAS OF BIOINFORMATICS :
1. Elicitation of DNA sequences from genetic material
2. Sequence annotation (ex. With information from experiments)
3. Understanding the control of gene expression ( i.e under what circumstances proteins are transcribed from DNA)
4. The relationship between the aminoacid sequence of proteins and their structure.
5. Drug design
6. Molecular modelling
7. Identification of genetic risk factors
8. Gene therapy
9. Genetic modification(productivity and quality ) of food crops and animals, etc.
10. Biological warfare, crime, etc.
11. Understanding evolution, comparative genomics.
4.1 introduction to bioinformatics
The document discusses bioinformatics, defining it as the application of information technology to the field of molecular biology. It describes how bioinformatics uses biology, mathematics, and computer science to analyze and manage biological data. Some key applications of bioinformatics mentioned are sequence analysis, prediction of protein structure, genome annotation, comparative genomics, and health/drug discovery. Several important bioinformatics resources are also outlined, including NCBI, PubMed, EMBL, and OMIM.
Introduction to Bioinformatics
This document discusses bioinformatics, including its goals and applications. Bioinformatics is defined as applying information technology to store, organize, and analyze vast amounts of biological data, such as sequences and structures of proteins and nucleic acids. It merges biology, mathematics, statistics, computer science, and information technology. Bioinformatics helps analyze gene and protein expression, compare genomic data, and simulate DNA, RNA, and proteins. It has applications in molecular medicine, drug development, microbial genomics, crop improvement, and more. Common bioinformatics tools include BLAST for comparing biological sequences.
Bioinformatics .pptx
Bioinformatics is an interdisciplinary field involving biology, computer science, mathematics and statistics. It addresses large-scale biological problems from a computational perspective. Common problems include modeling biological processes at the molecular level and making inferences from collected data. A bioinformatics solution typically involves collecting statistics from biological data, building a computational model, solving a computational problem, and testing the algorithm. Bioinformatics plays a role in areas like structural genomics, functional genomics and nutritional genomics. It is used for applications such as transcriptome analysis, drug discovery, cheminformatics analysis, and more. It is an important tool in fields like molecular medicine, gene therapy, microbial genome applications, antibiotic resistance, and evolutionary studies. Biological databases are important for organizing
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HISTORY
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REFRENCES
"Bioinformatics" to refer to the study of information processes in biotic systems. This definition placed bioinformatics as a field parallel to biophysics or biochemistry (biochemistry is the study of chemical processes in biological systems).
the field of bioinformatics has evolved such that the most pressing task now involves the analysis and interpretation of various types of data. This includes nucleotide and amino acid sequences, protein domains, and protein structures.
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The document provides an introduction to the field of bioinformatics, including definitions, history, applications and key concepts. It discusses how bioinformatics uses computer algorithms and databases to analyze biological data like genomes, proteins and genes. Major databases that store DNA sequences include GenBank, EMBL and DDBJ. Other databases like PDB contain 3D protein structures. Key applications of bioinformatics include molecular biology, drug design, agriculture and clinical medicine.
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HISTORY
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REFRENCES
"Bioinformatics" to refer to the study of information processes in biotic systems. This definition placed bioinformatics as a field parallel to biophysics or biochemistry (biochemistry is the study of chemical processes in biological systems).
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Introduction to bioinformatics.pptx
- 2. 2023 Nobel prize in Medicine and Physiology Drew Weismann “for their discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19”
- 3. What is Bioinformatics? Bioinformatics is the application of computational techniques to manage, analyze, and interpret biological data. It's the bridge that connects biology with the power of computer science.
- 8. Applications of Bioinformatics Description Application Study of genomes, including sequencing, annotation, and comparative analysis of DNA sequences. Genomics Analysis of the structure, function, and interactions of proteins within a biological system. Proteomics Determining and understanding the three- dimensional structures of biological macromolecules. Structural Biology Personalized medicine based on an individual's genetic makeup to optimize drug treatments. Pharmacogenomics Comparing the genomic content and structure across different species. Comparative Genomics Analyzing genetic material directly from environmental samples to study microbial communities. Metagenomics
- 9. Useful databases in Bioinformatics • 1. The National Center for Biotechnology Information (NCBI) • https://www.ncbi.nlm.nih.gov/
- 10. BLAST: Basic Local Alignment Search Tool • https://blast.ncbi.nlm.nih.gov/Blast.cgi
- 13. KEGG: Kyoto Encyclopedia of Genes and Genomes https://www.genome.jp/kegg/
- 15. Popular free courses in Bioinformatics • Bioinformatics – UCSD – Coursera • Link: https://www.coursera.org/specializations/bioinformatics • Genomic data science – Johns Hopkins University – Coursera • Link: https://www.coursera.org/specializations/genomic-data-science
- 16. Popular Journals in Bioinformatics • Bioinformatics - https://academic.oup.com/bioinformatics • Journal of the American Medical Informatics Association - https://academic.oup.com/jamia • Journal of mathematical biology - https://www.springer.com/journal/285 • PLoS Computational Biology - https://journals.plos.org/ploscompbiol/
- 17. Conclusion • Bioinformatics is a dynamic field that revolutionizes the way we explore and understand the complexities of life. From unraveling the mysteries of our genetic code to driving innovations in medicine, bioinformatics continues to be a driving force in biological research.