The document summarizes a bioinformatics summer camp, including:
1. The camp will cover basic molecular biology and bioinformatics topics like DNA, proteins, gene expression and the genetic code.
2. Students will work on computational analysis projects involving whole genome sequencing, gene expression profiling, and functional and comparative genomics.
3. The camp will teach techniques for analyzing protein structures and interactions, gene expression data, and identifying pockets on protein surfaces.
Bioinformatics is the branch of life science that deals with the use of mathematical, statistical and computer methods to analyze biological and biochemical data.
Types of Bioinformatics (see the slides)
1. Bioinformatics is the science of using computer hardware and software to analyze biological data such as DNA sequences, protein sequences, and gene expression data.
2. It has three main branches - genomics which analyzes genome sequences, transcriptomics which analyzes gene expression data, and proteomics which analyzes protein sequences and structures.
3. The goals of bioinformatics include acquiring biological data, developing tools and databases, analyzing the data, and integrating different types of biological data to gain new biological insights.
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.
This document provides an overview of the field of bioinformatics. It defines bioinformatics as the intersection of biology and computer science, using computational tools to analyze and distribute biological information like DNA, RNA, and proteins. The goals of bioinformatics are to better understand cells at the molecular level by analyzing sequence and structure data. Key applications include drug design, DNA analysis, and agricultural biotechnology. The document also describes different types of biological databases like primary databases that contain raw sequence data, and secondary databases that provide additional annotation and analysis of sequences.
Bioinformatics and its Applications in Agriculture/Sericulture and in other F...mohd younus wani
The National Center for Biotechnology Information (NCBI, 2001) defines bioinformatics as the field of science in which biology, computer science, and information technology merge into a single discipline. Fredj Tekaia defines Bioinformatics the mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information. Bioinformatics has emerged as an essential field of science that is facilitating biological discoveries since more than a decade. Without the usage of bioinformatics tools it is merely impossible to capture, manage process, analyse and interpret the huge amounts data that is available especially after whole genome sequencing projects. The sequencing of the genomes of plants and animals will have enormous benefits for the agricultural community. Bioinformatics tools can be used to search for the genes within these genomes and to elucidate their functions. This specific genetic knowledge could then be used to produce stronger, drought, disease and insect resistant crops and improve the quality. In agriculture it helps in the insect resistance, improve nutritional quality, rational plant improvement, waste cleanup, climate change studies, and development of drought resistance varieties (Dahiya and Lata, 2017) and in addition to this it also plays an important roles in biotechnology, antibiotic resistance, and forensic analysis of microbes, comparative studies, evolutionary studies and veterinary Sciences.
Seri bioinformatics tools and techniques not only facilitated detection of proteomic and genomic diversity among the species/strains, but also resulted in finding a gap in the silkworm genome sequence of a strain that diverged during the course of domestication. Seri-bioinformatics databases are a valuable seri-bioresource. The available online resources on silkworm and its related organisms, including databases as well as informative websites help to make silkworms healthier, more disease resistant and more productive. These databases provides information on gene, protein sequences and diseases and play crucial roles in conservation of the silkworm species and mulberry plants (Singh et al., 216). Bioinformatics approaches give an insight, uncovering the lineage with gene and protein count of B. mori and Drosophila encompass ~18,000 and ~16,000 (Genes) and ~9,000 and ~22,000 (Proteins) respectively (Somshekar and Borgowda, 2013).
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 are described, such as GenBank, EMBL and DDBJ. Tools for analyzing sequences like BLAST are also introduced.
The document summarizes a bioinformatics summer camp, including:
1. The camp will cover basic molecular biology and bioinformatics topics like DNA, proteins, gene expression and the genetic code.
2. Students will work on computational analysis projects involving whole genome sequencing, gene expression profiling, and functional and comparative genomics.
3. The camp will teach techniques for analyzing protein structures and interactions, gene expression data, and identifying pockets on protein surfaces.
Bioinformatics is the branch of life science that deals with the use of mathematical, statistical and computer methods to analyze biological and biochemical data.
Types of Bioinformatics (see the slides)
1. Bioinformatics is the science of using computer hardware and software to analyze biological data such as DNA sequences, protein sequences, and gene expression data.
2. It has three main branches - genomics which analyzes genome sequences, transcriptomics which analyzes gene expression data, and proteomics which analyzes protein sequences and structures.
3. The goals of bioinformatics include acquiring biological data, developing tools and databases, analyzing the data, and integrating different types of biological data to gain new biological insights.
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.
This document provides an overview of the field of bioinformatics. It defines bioinformatics as the intersection of biology and computer science, using computational tools to analyze and distribute biological information like DNA, RNA, and proteins. The goals of bioinformatics are to better understand cells at the molecular level by analyzing sequence and structure data. Key applications include drug design, DNA analysis, and agricultural biotechnology. The document also describes different types of biological databases like primary databases that contain raw sequence data, and secondary databases that provide additional annotation and analysis of sequences.
Bioinformatics and its Applications in Agriculture/Sericulture and in other F...mohd younus wani
The National Center for Biotechnology Information (NCBI, 2001) defines bioinformatics as the field of science in which biology, computer science, and information technology merge into a single discipline. Fredj Tekaia defines Bioinformatics the mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information. Bioinformatics has emerged as an essential field of science that is facilitating biological discoveries since more than a decade. Without the usage of bioinformatics tools it is merely impossible to capture, manage process, analyse and interpret the huge amounts data that is available especially after whole genome sequencing projects. The sequencing of the genomes of plants and animals will have enormous benefits for the agricultural community. Bioinformatics tools can be used to search for the genes within these genomes and to elucidate their functions. This specific genetic knowledge could then be used to produce stronger, drought, disease and insect resistant crops and improve the quality. In agriculture it helps in the insect resistance, improve nutritional quality, rational plant improvement, waste cleanup, climate change studies, and development of drought resistance varieties (Dahiya and Lata, 2017) and in addition to this it also plays an important roles in biotechnology, antibiotic resistance, and forensic analysis of microbes, comparative studies, evolutionary studies and veterinary Sciences.
Seri bioinformatics tools and techniques not only facilitated detection of proteomic and genomic diversity among the species/strains, but also resulted in finding a gap in the silkworm genome sequence of a strain that diverged during the course of domestication. Seri-bioinformatics databases are a valuable seri-bioresource. The available online resources on silkworm and its related organisms, including databases as well as informative websites help to make silkworms healthier, more disease resistant and more productive. These databases provides information on gene, protein sequences and diseases and play crucial roles in conservation of the silkworm species and mulberry plants (Singh et al., 216). Bioinformatics approaches give an insight, uncovering the lineage with gene and protein count of B. mori and Drosophila encompass ~18,000 and ~16,000 (Genes) and ~9,000 and ~22,000 (Proteins) respectively (Somshekar and Borgowda, 2013).
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 are described, such as GenBank, EMBL and DDBJ. Tools for analyzing sequences like BLAST are also introduced.
Role of bioinformatics in life sciences researchAnshika Bansal
1. The document discusses bioinformatics and summarizes some of its key applications and tools. It describes how bioinformatics merges biology and computer science to solve biological problems by applying computational tools to molecular data.
2. It provides examples of common bioinformatics tasks like retrieving sequences from databases, comparing sequences, analyzing genes and proteins, and viewing 3D structures.
3. The document lists several popular databases for nucleotide sequences, protein sequences, literature, and other biological data. It also introduces common bioinformatics tools for tasks like sequence alignment, translation, and structure analysis.
The document provides an introduction to the field of bioinformatics. It discusses how bioinformatics applies computer science to analyze large amounts of biological data from fields like molecular biology, medicine, and biotechnology. It also outlines some of the main topics that will be covered in the course, including biological databases, gene and protein analysis, phylogenetic analysis, and gene prediction.
Bioinformatics & It's Scope in BiotechnologyTuhin Samanta
As an interdisciplinary field of science, bioinformatics consolidates science, software engineering, data building, arithmetic and measurements to dissect and decipher organic information. Bioinformatics has been utilized for in silico investigations of organic inquiries utilizing numerical and measurable methods.
Bioinformatics emerged as a field in the 1970s-1980s as areas of biology increasingly relied on computational methods. There were two main types of students in bioinformatics - computer scientists interested in biology and biologists skilled in computing. The bioinformatics market continues to grow worldwide and major employers include pharmaceutical and biotech companies. A career in bioinformatics requires strong skills in biology, computing, programming, data analysis, visualization and teamwork. Opportunities exist in areas like sequence assembly, genomic analysis, functional genomics, and database administration.
Computational genomics uses computational and statistical analysis to understand biology from genome sequences and related data. It involves analyzing whole genomes to understand how DNA controls organisms' molecular biology. The field emerged in the late 1990s with available complete genomes. It has contributed to discoveries like predicting gene locations, signaling networks, and genome evolution mechanisms. The first computer model of an organism was of Mycoplasma genitalium incorporating over 1,900 parameters. Computational genomics addresses problems like data storage, pattern matching, and structure prediction to analyze vast genomic data from databases.
Bioinformatics is a hybrid science that links biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific research, including biomedicine.
This document provides definitions and descriptions of the field of bioinformatics from multiple perspectives:
- Bioinformatics is the use of computers to analyze and interpret massive amounts of biological data, especially related to genomics, through techniques like modeling, algorithm development, and statistics.
- It involves the convergence of biology, biotechnology, computer science, and information technology to address challenges in managing and understanding biological data.
- Bioinformatics encompasses a range of activities from database management and analysis to developing tools that facilitate biological research and applications in fields like medicine.
Bioinformatics issues and challanges presentation at s p collegeSKUASTKashmir
This document provides an overview of bioinformatics and some key concepts:
- It discusses the exponential growth of biological data from technologies like PCR and microarrays, and how bioinformatics is needed to analyze this data.
- Bioinformatics is defined as integrating biology and computer science to collect, analyze, and interpret large amounts of molecular-level information. It uses databases and tools to study genomes, proteins, and biological processes.
- Major databases like GenBank, EMBL, and SwissProt store DNA, RNA, protein sequences and provide access to researchers. Tools like BLAST are used to search databases and analyze sequences.
- Benefits of bioinformatics include advances in medicine, agriculture, forensics
Bioinformatics analyzes massive amounts of biological data like DNA sequences to uncover hidden biological information. It has many applications like molecular medicine, drug development, and microbial genome analysis. Common bioinformatics tools like BLAST are used to compare query sequences against databases to find similar sequences. BLAST works through a heuristic algorithm that finds short matches between sequences to locate potential homologs in an efficient manner. Other algorithms like Smith-Waterman and FASTA also perform sequence alignment but with different tradeoffs in accuracy and speed.
This document provides an introduction and overview of the field of bioinformatics. It discusses how bioinformatics combines computer science and biology to analyze large amounts of biological data. Specifically, it mentions that bioinformatics uses algorithms and techniques from computer science to solve complex biological problems related to areas like molecular biology, genomics, drug discovery, and more. It also outlines some of the key applications of bioinformatics like sequence analysis, protein structure prediction, genome annotation, and comparative genomics. Finally, it provides brief descriptions of important biological databases and resources that bioinformaticians use to store and analyze genomic and protein sequence data.
The document introduces bioinformatics and discusses its goals and applications. Bioinformatics involves using computational tools and databases to analyze and understand biological data like DNA, RNA, and proteins. It has two main subfields - developing computational tools and databases, and applying these tools to generate biological knowledge and insights into living systems. Bioinformatics aims to better understand cells at the molecular level and how they function. It has applications in areas like drug design, forensics, agriculture, and medicine.
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyze the function and structure of genomes
The document discusses several applications of genomics and bioinformatics across various fields such as medicine, agriculture, microbiology, and more. It describes how genomic studies of humans and model organisms are providing insights into disease mechanisms and treatments. Applications in agriculture include developing crops with improved traits like insect or drought resistance. Microbial genomics is explored for uses like bioremediation, alternative energy, and industrial applications. Bioinformatics tools aid research through literature retrieval and comparative genomics studies.
This document provides an overview of bioinformatics and some of its key applications. It discusses how bioinformatics is an interdisciplinary field that uses computer science, statistics and other approaches to analyze large amounts of biological data. It notes that bioinformatics has become necessary due to the explosion of genomic data from projects like the Human Genome Project. Some of the goals and uses of bioinformatics mentioned include uncovering biological information from data, applications in molecular medicine, agriculture and environmental science. The document also provides brief descriptions of structural bioinformatics, common biological databases, MASCOT database searching, and scoring schemes used in bioinformatics.
This document provides an introduction to the field of bioinformatics. It defines bioinformatics as a branch of science that uses computer technology to analyze and integrate biological information that can be applied to gene-based drug discoveries. It discusses the emergence of bioinformatics due to the desire to understand how genetic structure affects traits. It also outlines some common applications of bioinformatics like drug design, gene therapy, and microbial genomic analysis. Finally, it provides examples of some bioinformatics tools, databases, and centers in India.
Bioinformatics plays a significant role in the development of the agricultural sector, crop improvement,
agro-based industries, agricultural by-products utilization and better management of the
environment. With the increase of sequencing projects, bioinformatics continues to make
considerable progress in biology by providing scientists with access to the genomic information.
It is believed that we will take on another giant leap in bioinformatics field in next decade, where
computational models of systems wide properties could serve as the basis for experimentation
and discovery. Agricultural bioinform -atics areas that need focus would be are data curation and
need for the use of restricted vocabularies. Being an interface between modern biology and
informatics it involves discovery, development and implementation of computational algorithms
and software tools that facilitate an understanding of the biological processes with the goal to
serve primarily agriculture and healthcare sectors with several spinoffs.
Genomics is the study of genomes and includes determining entire DNA sequences, genetic mapping, and studying intragenomic phenomena. It allows determining an ideal genotype. Genomics and bioinformatics provide benefits like improved crop productivity, stress tolerance, and nutritional quality. Proteomics studies proteins in cells. Bioinformatics handles large genomic and proteomic data using algorithms. Structural genomics constructs sequence data and maps genes. Functional genomics studies gene function. Comparative genomics compares sequences to find relationships.
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
WHAT IS BIOINFORMATICS?
Computational Biology/Bioinformatics is the application of computer sciences and allied technologies to answer the questions of Biologists, about the mysteries of life. It has evolved to serve as the bridge between:
Observations (data) in diverse biologically-related disciplines and
The derivations of understanding (information)
APPLICATIONS OF BIOINFORMATICS
Computer Aided Drug Design
Microarray Bioinformatics
Proteomics
Genomics
Biological Databases
Phylogenetics
Systems Biology
A database is a structured collection of data that can be easily accessed, managed, and updated. It consists of files or tables containing records with fields. Database management systems provide functions like controlling access, maintaining integrity, and allowing non-procedural queries. Major databases include GenBank, EMBL, and DDBJ for nucleotide sequences and UniProt, PDB, and Swiss-Prot for proteins. The NCBI maintains many biological databases and provides tools for analysis.
This document provides an introduction to biological databases and bioinformatics tools. It defines biological sequences and databases, and describes the types of bioinformatics databases including primary, secondary, and composite databases. Examples of specific biological databases like GenBank, EMBL, and SwissProt are outlined. Common bioinformatics tools for sequence analysis, structural analysis, protein function analysis, and homology/similarity searches are listed, including BLAST, FASTA, EMBOSS, ClustalW, and RasMol. Finally, important bioinformatics resources on the web are highlighted.
Role of bioinformatics in life sciences researchAnshika Bansal
1. The document discusses bioinformatics and summarizes some of its key applications and tools. It describes how bioinformatics merges biology and computer science to solve biological problems by applying computational tools to molecular data.
2. It provides examples of common bioinformatics tasks like retrieving sequences from databases, comparing sequences, analyzing genes and proteins, and viewing 3D structures.
3. The document lists several popular databases for nucleotide sequences, protein sequences, literature, and other biological data. It also introduces common bioinformatics tools for tasks like sequence alignment, translation, and structure analysis.
The document provides an introduction to the field of bioinformatics. It discusses how bioinformatics applies computer science to analyze large amounts of biological data from fields like molecular biology, medicine, and biotechnology. It also outlines some of the main topics that will be covered in the course, including biological databases, gene and protein analysis, phylogenetic analysis, and gene prediction.
Bioinformatics & It's Scope in BiotechnologyTuhin Samanta
As an interdisciplinary field of science, bioinformatics consolidates science, software engineering, data building, arithmetic and measurements to dissect and decipher organic information. Bioinformatics has been utilized for in silico investigations of organic inquiries utilizing numerical and measurable methods.
Bioinformatics emerged as a field in the 1970s-1980s as areas of biology increasingly relied on computational methods. There were two main types of students in bioinformatics - computer scientists interested in biology and biologists skilled in computing. The bioinformatics market continues to grow worldwide and major employers include pharmaceutical and biotech companies. A career in bioinformatics requires strong skills in biology, computing, programming, data analysis, visualization and teamwork. Opportunities exist in areas like sequence assembly, genomic analysis, functional genomics, and database administration.
Computational genomics uses computational and statistical analysis to understand biology from genome sequences and related data. It involves analyzing whole genomes to understand how DNA controls organisms' molecular biology. The field emerged in the late 1990s with available complete genomes. It has contributed to discoveries like predicting gene locations, signaling networks, and genome evolution mechanisms. The first computer model of an organism was of Mycoplasma genitalium incorporating over 1,900 parameters. Computational genomics addresses problems like data storage, pattern matching, and structure prediction to analyze vast genomic data from databases.
Bioinformatics is a hybrid science that links biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific research, including biomedicine.
This document provides definitions and descriptions of the field of bioinformatics from multiple perspectives:
- Bioinformatics is the use of computers to analyze and interpret massive amounts of biological data, especially related to genomics, through techniques like modeling, algorithm development, and statistics.
- It involves the convergence of biology, biotechnology, computer science, and information technology to address challenges in managing and understanding biological data.
- Bioinformatics encompasses a range of activities from database management and analysis to developing tools that facilitate biological research and applications in fields like medicine.
Bioinformatics issues and challanges presentation at s p collegeSKUASTKashmir
This document provides an overview of bioinformatics and some key concepts:
- It discusses the exponential growth of biological data from technologies like PCR and microarrays, and how bioinformatics is needed to analyze this data.
- Bioinformatics is defined as integrating biology and computer science to collect, analyze, and interpret large amounts of molecular-level information. It uses databases and tools to study genomes, proteins, and biological processes.
- Major databases like GenBank, EMBL, and SwissProt store DNA, RNA, protein sequences and provide access to researchers. Tools like BLAST are used to search databases and analyze sequences.
- Benefits of bioinformatics include advances in medicine, agriculture, forensics
Bioinformatics analyzes massive amounts of biological data like DNA sequences to uncover hidden biological information. It has many applications like molecular medicine, drug development, and microbial genome analysis. Common bioinformatics tools like BLAST are used to compare query sequences against databases to find similar sequences. BLAST works through a heuristic algorithm that finds short matches between sequences to locate potential homologs in an efficient manner. Other algorithms like Smith-Waterman and FASTA also perform sequence alignment but with different tradeoffs in accuracy and speed.
This document provides an introduction and overview of the field of bioinformatics. It discusses how bioinformatics combines computer science and biology to analyze large amounts of biological data. Specifically, it mentions that bioinformatics uses algorithms and techniques from computer science to solve complex biological problems related to areas like molecular biology, genomics, drug discovery, and more. It also outlines some of the key applications of bioinformatics like sequence analysis, protein structure prediction, genome annotation, and comparative genomics. Finally, it provides brief descriptions of important biological databases and resources that bioinformaticians use to store and analyze genomic and protein sequence data.
The document introduces bioinformatics and discusses its goals and applications. Bioinformatics involves using computational tools and databases to analyze and understand biological data like DNA, RNA, and proteins. It has two main subfields - developing computational tools and databases, and applying these tools to generate biological knowledge and insights into living systems. Bioinformatics aims to better understand cells at the molecular level and how they function. It has applications in areas like drug design, forensics, agriculture, and medicine.
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyze the function and structure of genomes
The document discusses several applications of genomics and bioinformatics across various fields such as medicine, agriculture, microbiology, and more. It describes how genomic studies of humans and model organisms are providing insights into disease mechanisms and treatments. Applications in agriculture include developing crops with improved traits like insect or drought resistance. Microbial genomics is explored for uses like bioremediation, alternative energy, and industrial applications. Bioinformatics tools aid research through literature retrieval and comparative genomics studies.
This document provides an overview of bioinformatics and some of its key applications. It discusses how bioinformatics is an interdisciplinary field that uses computer science, statistics and other approaches to analyze large amounts of biological data. It notes that bioinformatics has become necessary due to the explosion of genomic data from projects like the Human Genome Project. Some of the goals and uses of bioinformatics mentioned include uncovering biological information from data, applications in molecular medicine, agriculture and environmental science. The document also provides brief descriptions of structural bioinformatics, common biological databases, MASCOT database searching, and scoring schemes used in bioinformatics.
This document provides an introduction to the field of bioinformatics. It defines bioinformatics as a branch of science that uses computer technology to analyze and integrate biological information that can be applied to gene-based drug discoveries. It discusses the emergence of bioinformatics due to the desire to understand how genetic structure affects traits. It also outlines some common applications of bioinformatics like drug design, gene therapy, and microbial genomic analysis. Finally, it provides examples of some bioinformatics tools, databases, and centers in India.
Bioinformatics plays a significant role in the development of the agricultural sector, crop improvement,
agro-based industries, agricultural by-products utilization and better management of the
environment. With the increase of sequencing projects, bioinformatics continues to make
considerable progress in biology by providing scientists with access to the genomic information.
It is believed that we will take on another giant leap in bioinformatics field in next decade, where
computational models of systems wide properties could serve as the basis for experimentation
and discovery. Agricultural bioinform -atics areas that need focus would be are data curation and
need for the use of restricted vocabularies. Being an interface between modern biology and
informatics it involves discovery, development and implementation of computational algorithms
and software tools that facilitate an understanding of the biological processes with the goal to
serve primarily agriculture and healthcare sectors with several spinoffs.
Genomics is the study of genomes and includes determining entire DNA sequences, genetic mapping, and studying intragenomic phenomena. It allows determining an ideal genotype. Genomics and bioinformatics provide benefits like improved crop productivity, stress tolerance, and nutritional quality. Proteomics studies proteins in cells. Bioinformatics handles large genomic and proteomic data using algorithms. Structural genomics constructs sequence data and maps genes. Functional genomics studies gene function. Comparative genomics compares sequences to find relationships.
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
WHAT IS BIOINFORMATICS?
Computational Biology/Bioinformatics is the application of computer sciences and allied technologies to answer the questions of Biologists, about the mysteries of life. It has evolved to serve as the bridge between:
Observations (data) in diverse biologically-related disciplines and
The derivations of understanding (information)
APPLICATIONS OF BIOINFORMATICS
Computer Aided Drug Design
Microarray Bioinformatics
Proteomics
Genomics
Biological Databases
Phylogenetics
Systems Biology
A database is a structured collection of data that can be easily accessed, managed, and updated. It consists of files or tables containing records with fields. Database management systems provide functions like controlling access, maintaining integrity, and allowing non-procedural queries. Major databases include GenBank, EMBL, and DDBJ for nucleotide sequences and UniProt, PDB, and Swiss-Prot for proteins. The NCBI maintains many biological databases and provides tools for analysis.
This document provides an introduction to biological databases and bioinformatics tools. It defines biological sequences and databases, and describes the types of bioinformatics databases including primary, secondary, and composite databases. Examples of specific biological databases like GenBank, EMBL, and SwissProt are outlined. Common bioinformatics tools for sequence analysis, structural analysis, protein function analysis, and homology/similarity searches are listed, including BLAST, FASTA, EMBOSS, ClustalW, and RasMol. Finally, important bioinformatics resources on the web are highlighted.
This document discusses biological databases. It begins by defining biological databases as large, organized bodies of persistent biological data that can be updated, queried and retrieved. It then provides examples of popular databases like GenBank, SwissProt and PIR. The document discusses the importance of databases and different types of biological databases, categorized by the content or nature of the data. Specifically, it describes primary and secondary nucleotide and protein sequence databases like GenBank, EMBL, DDBJ, SwissProt and PIR.
The document discusses various types of biological databases. It describes primary databases that contain original data, secondary databases that contain processed data derived from primary databases, and composite databases that collect and filter data from multiple primary databases. Examples of specific biological databases are provided, including nucleic acid databases like GenBank, protein sequence databases like Swiss-Prot, protein structure database PDB, and metabolic pathway database KEGG. Details about the purpose and features of some of these major databases like GenBank, DDBJ, EMBL, Swiss-Prot, and PDB are outlined in the document.
Presentation on Biological database By Elufer Akram @ University Of Science ...Elufer Akram
This document discusses biological databases. It begins by defining what a database is and describing database architecture. It then discusses several major types of biological databases including nucleotide sequence databases like GenBank, protein sequence databases like PDB, and collaborative databases. Specific databases discussed in detail include GenBank, NCBI, DDBJ, Swiss-Prot, TrEMBL, and UniProt. The document explains the purpose and contributions of these different biological databases.
The document discusses biological databases, including their purpose, history, classification, features, and examples. Some key points:
- Biological databases store and organize life science data from experiments and literature for analysis and sharing.
- Major databases include GenBank, EMBL, DDBJ, Swiss-Prot, and PDB, which store nucleotide and protein sequences and structures.
- Biological databases can be classified by data type, source, maintenance status, design, organism, and access permissions.
- Primary databases directly house experimental data, while secondary databases add value through analysis and integration.
- Formats like flat files were adopted for data exchange between major nucleotide sequence databases.
Bioinformatics is an interdisciplinary field that uses computer science and information technology to analyze and interpret biological data. It involves developing databases to store biological information and computational tools to analyze data. The key aims of bioinformatics are to store biological data in organized databases, develop tools to analyze the data, and use these tools to interpret results in a biologically meaningful way. It has applications in areas like genome sequencing and annotation, gene expression analysis, protein structure prediction, and understanding biological pathways and networks.
This document discusses major biological databases. It describes three types of biological databases: primary databases that contain original experimental data, secondary databases that contain additional derived information from primary databases, and composite databases that combine data from multiple sources. The document focuses on describing GenBank, a primary sequence database maintained by the National Center for Biotechnology Information. It provides details on how sequences are submitted to GenBank and how entries are formatted, including information contained in various fields like LOCUS, DEFINITION, and FEATURES. The document also briefly introduces the European Molecular Biology Laboratory database, EMBL, which collaborates with GenBank and DDBJ to exchange nucleotide sequence data daily.
The document discusses various types of biological databases including sequence databases, structure databases, genome databases, and model organism databases. It provides examples of nucleotide databases like Genbank, DDBJ, EMBL-EBI, and TIGR. Genome browsers like UCSC Genome Browser, Ensembl browser, and Integrated Genome Browser are also mentioned. Other topics covered include the Encyclopedia of Life, India Biodiversity, Barcode of Life, data retrieval schemes, bibliographic databases, and database journals.
The document discusses several key databases for nucleotide and protein sequences. It describes NCBI, EMBL, DDBJ, PIR, and SWISS-PROT as the primary databases that store nucleotide and protein sequence data. NCBI, EMBL, and DDBJ work together through the International Nucleotide Sequence Database Collaboration to share data daily and provide a comprehensive set of sequence information. The document provides details on the history and role of each database.
Bioinformatics is the application of computer science and information technology to biological data. It helps analyze biological data to gain understanding. Biological databases store biological information collected from experiments in an organized manner. There are primary databases containing raw experimental data and secondary databases containing analyzed data. Major types of biological databases include sequence databases for nucleic acid and protein sequences, and structural databases like PDB for 3D protein structures. Databases can be retrieved using tools like Entrez, SRS, and BLAST to find related sequences and information. Biological databases play an important role in research by acting as repositories of information.
Bioinformatics in biotechnology by kk sahu KAUSHAL SAHU
Introduction
Bioinformatics – definition
History
Required skills
Core areas of bioinformatics
Components of bioinformatics
Nomenclature system in bioinformatics
Biological databases
Types of database
Bioinformatics tools
Applications of bioinformatics
Conclusion
References
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.
This document discusses biological databases. It defines biological databases as databases consisting of organized biological data like protein sequences, molecular structures, and DNA sequences. There are two main types of biological databases: primary databases, which archive original experimental results, and secondary databases, which analyze and add value to the data in primary databases. Some examples of important biological databases discussed are GenBank, PDB, SwissProt, InterPro, and UniProtKB. The National Center for Biotechnology Information (NCBI) houses several key biological databases and provides bioinformatics tools and services.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data.
This document provides an introduction to bioinformatics and biological databases. It defines bioinformatics as the use of computers to analyze biological data like DNA sequences. The aims of bioinformatics include developing databases of all biological information and software for tasks like drug design. Biological databases store complex biological data and can be primary databases containing raw sequences/structures or secondary databases containing derived data. Examples of primary databases include GenBank, EMBL, Swiss-Prot and PDB, while secondary databases include motif, domain, gene expression and metabolic pathway databases. Maintaining accurate, up-to-date biological databases is important for biological research and applications.
The document discusses various biological databases including:
1. Nucleic acid, protein, and structure databases that store gene and protein sequence data, protein structures, and related information.
2. Specialized databases focused on specific topics like virus structures or immunology.
3. Expression and proteomics databases that record gene expression measurements.
The document discusses several key nucleic acid and protein databases. It describes the Nucleic Acid Database, which provides 3D structure information about nucleic acids. It also discusses NCBI, a collection of biomedical databases including GenBank that are freely accessible online. Other databases mentioned include EMBL, DDBJ, PDB, Swiss-Prot, and UniProt, each of which archives and provides access to nucleotide or protein sequence data.
Tube feeding formulas can be made of intact proteins, protein hydrolysates, carbohydrates like starch or sugars, and fats from vegetable oils or butter. They aim to provide nutrients and be isotonic to match body fluids. Carbohydrates most influence osmolality as they are rapidly digested. Formulas are tailored to specific conditions, using different macronutrient balances. Tube feeding can be given through nasogastric tubes short-term or gastrostomy tubes for long-term use. Total parenteral nutrition provides nutrients intravenously and includes crystalline amino acids, dextrose, lipid emulsions, vitamins and minerals. It is reserved for when enteral nutrition is not possible.
“It first has to enter the plant cell by penetrating the plant cell wall and the plasma membrane and then must reach the nucleus and integrate into the resident chromosomes.”
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Electro- = flow of electricity,
-phoresis = to carry across
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Methods & Types
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Molecular analysis of plants transformed biolistically in general reveals a complex pattern of trans-gene, indicating the integration of multiple copies of the bombarded DNA.
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2. Biological Database
A biological database is a large, organized body of
persistent data, usually associated with computerized
software designed to update, query, and retrieve
components of the data stored within the system.
For example, a record associated with a nucleotide
sequence database typically contains information such as
contact name; the input sequence with a description of
the type of molecule; the scientific name of the source
organism from which it was isolated; and, often, literature
citations associated with the sequence.
3. Biological Database
o Easy access to the information.
o A method for extracting only that information
needed to answer a specific biological question.
4. Biological Database
“lot of bioinformatics work is concerned with the
technology of databases. These databases include both
"public" repositories of gene data like GenBank or the
Protein DataBank (the PDB), and private databases like
those used by research groups involved in gene mapping
projects or those held by biotech companies.”
5. Biological Database
“A few popular databases are GenBank from NCBI
(National Center for Biotechnology Information),
SwissProt from the Swiss Institute of Bioinformatics and
PIR from the Protein Information Resource.”
6. Biological Database
GenBank
GenBank (Genetic Sequence Databank) is one of the fastest
growing repositories of known genetic sequences.
It has a flat file structure, that is an ASCII text file, readable by
both humans and computers.
In addition to sequence data, GenBank files contain information
like accession numbers and gene names, phylogenetic classification
and references to published literature.
There are approximately 191,400,000 bases and 183,000
sequences as of June 1994.
7. Biological Database
EMBL
[European molecular biology laboratory] The EMBL Nucleotide
Sequence Database is a comprehensive database of DNA and RNA
sequences collected from the scientific literature and patent
applications and directly submitted from researchers and
sequencing groups.
Data collection is done in collaboration with GenBank (USA) and
the DNA Database of Japan (DDBJ).
The database currently doubles in size every 18 months and
currently (June 1994) contains nearly 2 million bases from 182,615
sequence entries.
8. Biological Database
Data file Division
VRT- Vertebrates.
INV-Invertebrates.
BCI- Bacterial.
VRL-Viral.
MAM- Mammalian.
PLN- Plant, Algae & Fungi.
EST- Expressed Sequence Tag.
GSS- Genomic Survey Sequences.
HTGs- High Through output Genomic Sequences.
(Genomic sequences of organisms that are stored in an
unfinished form)
STS- Sequence Sag Sites.
9. Biological Database
Data file Division
The data base for example has the ability to find out following types of
data:
CFTR gene (containing introns, exons etc).
CFTR cDNA (sequences that contains exons).
CFTR mRNA.
CFTR Protein Sequences.
E.g. of Searching;
CFTR, MAM, Homosapien, mRNA
11. Mutations
These are changes in the DNA coding region which might lead to some
severe disease or genetic disorders
Point Mutations
Wild Strand= A A G C A T T C
Query Strand= A A C C A T T C
12. Types of substitution mutations
Transition Substitution Mutation.
Pyramidines are single ring nitrogenous bases (C & T).
Purines are double ring nitrogenous bases (A & G).
Pyramidines Pyramidines
CT / TC
Purines Purines
AG / GA
13. Types of substitution mutations
Tran’s version Substitution Mutation.
Pyramidines Purines
AC
Purines Pyramidine
CA