BIOLOGICAL DATABASES are
Collection of files containing records of biological data in machine readable form Can be accessed, added, retrieved, manipulated and modified.
This document discusses biological databases. It notes that biological databases store vast amounts of biological data generated every day, including nucleotide sequences, protein sequences, pathways, and bibliographic information. It describes different types of biological databases, including primary databases that store original data, secondary databases that derive patterns from primary data, and composite databases that amalgamate multiple sources. It provides examples like GenBank, UniProt, KEGG, and PubMed. It also discusses how databases are organized, searched, and tools used like BLAST and FASTA.
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.
1) Primary databases contain original experimental data directly submitted by researchers, such as sequence data in GenBank, EMBL, and DDBJ.
2) Secondary databases contain derived or analyzed data from primary databases to make the information more useful, such as protein family databases like PROSITE and BLOCKS.
3) Biological databases serve important purposes like organizing and providing computational support for analyzing biological data, enabling researchers to retrieve information through various search criteria.
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.
Biological databases store and organize biological data and information. There are two main types - primary databases that contain original experimental data that cannot be changed, and secondary databases that contain derived data analyzed from primary sources. Examples of primary databases include GenBank for DNA sequences and SWISS-PROT for protein sequences. Secondary databases include PROSITE for protein families and domains, and Pfam for protein family alignments. Biological databases allow sharing of genomic and protein information worldwide and provide a foundation for research.
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.
In the era of computers life sciences databases are still understated. Here is my presentation on biological databases. Complete classification of different databases.
For more presentations and work come and visit
https://www.linkedin.com/in/shradheya-r-r-gupta-54492984/
This document discusses biological databases. It notes that biological databases store vast amounts of biological data generated every day, including nucleotide sequences, protein sequences, pathways, and bibliographic information. It describes different types of biological databases, including primary databases that store original data, secondary databases that derive patterns from primary data, and composite databases that amalgamate multiple sources. It provides examples like GenBank, UniProt, KEGG, and PubMed. It also discusses how databases are organized, searched, and tools used like BLAST and FASTA.
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.
1) Primary databases contain original experimental data directly submitted by researchers, such as sequence data in GenBank, EMBL, and DDBJ.
2) Secondary databases contain derived or analyzed data from primary databases to make the information more useful, such as protein family databases like PROSITE and BLOCKS.
3) Biological databases serve important purposes like organizing and providing computational support for analyzing biological data, enabling researchers to retrieve information through various search criteria.
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.
Biological databases store and organize biological data and information. There are two main types - primary databases that contain original experimental data that cannot be changed, and secondary databases that contain derived data analyzed from primary sources. Examples of primary databases include GenBank for DNA sequences and SWISS-PROT for protein sequences. Secondary databases include PROSITE for protein families and domains, and Pfam for protein family alignments. Biological databases allow sharing of genomic and protein information worldwide and provide a foundation for research.
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.
In the era of computers life sciences databases are still understated. Here is my presentation on biological databases. Complete classification of different databases.
For more presentations and work come and visit
https://www.linkedin.com/in/shradheya-r-r-gupta-54492984/
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.
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. It discusses what databases are and features of an ideal database. It describes the relationships between primary sequence databases like GenBank that contain original submissions, and derived databases like RefSeq that are curated by NCBI. Key databases at NCBI are described, including GenBank, RefSeq, and Entrez, which allows integrated searching across multiple databases. The benefits of data integration through linking related information are highlighted.
Bioinformatics is the interdisciplinary field that uses computational tools and methods to analyze and interpret biological data such as DNA, RNA, and protein sequences. The goal of bioinformatics is to better understand biological systems at the molecular level. It involves the development of databases to store molecular data and algorithms and software to analyze this data in order to address biological questions and further biological knowledge. Some key applications of bioinformatics include knowledge-based drug design, agricultural biotechnology, and disease research.
Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics
The document discusses several key biological databases and resources for archiving and retrieving genomic and protein information. It describes primary public databases located in Europe, the US, and Japan that house sequence data, analysis tools, and literature. Key databases mentioned include GenBank, EMBL, DDBJ for nucleic acid sequences, Swiss-Prot and PIR for proteins, and PDB for protein structures. NCBI and its Entrez portal provide integrated access to these and additional databases like PubMed, OMIM, and Taxonomy. The document outlines how to submit data to GenBank and search various protein and literature databases.
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.
Biological databases store and organize large amounts of biological data for research use. There are many types of biological databases that classify data by type, such as nucleotide sequences, protein sequences, genomes, protein structures, gene expression, and metabolic pathways. Databases can also be classified by their data source as primary databases containing experimental results or secondary databases that analyze primary database results. Database availability varies, with some publicly open and others proprietary. Common biological databases discussed include GenBank, UniProt, PDB, KEGG, and FlyBase.
The document discusses three data retrieval tools - Entrez, DBGET, and SRS - that allow molecular biologists to search and access information across multiple linked databases. Entrez, developed by NCBI, integrates information from databases including GenBank, RefSeq, PDB, and PubMed. SRS, developed by EBI, is an open source software that integrates over 80 molecular biology databases and has a scripting language called Icarus. SRS indexes over 250 databases and has over 35 servers worldwide. It allows searching of sequence, structure, gene-related, and bibliographic databases through a uniform web interface.
The document discusses biological databases. It begins by defining what a database is, including that it is a collection of related data organized in a way that allows information to be retrieved easily. It then discusses different types of biological databases, including those containing nucleotide sequences, protein sequences, 3D structures, gene expression data, and metabolic pathways. The rest of the document provides details on specific biological databases like GenBank, EMBL, DDBJ, and NCBI databases including Entrez. It emphasizes that biological data is heterogeneous, large in volume, dynamic and integrated across multiple databases.
Primary and secondary databases ppt by puneet kulyanaPuneet Kulyana
This document provides an introduction to databases used for biological data. It defines key terms like data, information, and databases. It describes different types of biological databases including primary databases that contain original experimental data, and secondary databases that contain derived or analyzed data. Examples of primary databases include GenBank, EMBL, and PDB, while secondary databases include PROSITE, PRINTS, and Pfam that contain conserved protein motifs and families. The document also compares primary and secondary databases.
The document discusses different text-based database retrieval systems for accessing biological data, including Entrez, SRS, and DBGET/LinkDB. It describes their key features and how each system allows users to search text databases using queries, with Entrez providing linked related data across multiple databases. An example shows how each system can be used to retrieve and view related information for a SwissProt protein entry.
This document summarizes different types of biological data and biological databases. It discusses primary databases like GenBank, EMBL and DDBJ that contain raw nucleotide sequence data. Secondary databases like KEGG and Pfam analyze and annotate primary database content. Composite databases like NCBI aggregate data from multiple primary sources. Protein databases discussed include Swiss-Prot, TrEMBL, PDB, and Pfam. Structural databases such as SCOP, CATH and PDB organize protein structures.
This document discusses biological databases. It defines a biological database as a collection of structured, searchable, and periodically updated biological data like protein sequences, molecular structures, and DNA sequences. It notes that biological data is heterogeneous, high-volume, uncertain, dynamically changing, and integrated from various global sources. The key functions of biological databases are to make biological data available worldwide in a computer-readable format. They are broadly classified into sequence, structure, and pathway databases. Some examples of important biological databases discussed are Swiss-Prot, PDB, GenBank, and COGs.
INTRODUCTION
WHAT IS DATA AND DATABASE?
WHAT IS BIOLOGICAL DATABASE?
TYPES OF BIOLOGICAL DATABASE
PRIMARY DATABASE
Nucleic acid sequence database
Protein sequence database
SECONDARY DATABASE
COMPOSITE DATABASE
TERTIARY DATABASE
WHY NEED?
CONCLUSION
REFRENCES
This document discusses biological databases. It defines biological databases as structured, searchable collections of biological data that are periodically updated and cross-referenced. It notes that biological databases store data electronically and systematize, make available, and allow analysis of computed biological data. The document then describes some key features of biological databases, including data heterogeneity, high data volumes, uncertainty, data curation, integration, sharing, and dynamic nature. It also provides examples of different types of biological databases classified by data type, maintainer, access, source, design, and organism covered.
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.
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. It discusses what databases are and features of an ideal database. It describes the relationships between primary sequence databases like GenBank that contain original submissions, and derived databases like RefSeq that are curated by NCBI. Key databases at NCBI are described, including GenBank, RefSeq, and Entrez, which allows integrated searching across multiple databases. The benefits of data integration through linking related information are highlighted.
Bioinformatics is the interdisciplinary field that uses computational tools and methods to analyze and interpret biological data such as DNA, RNA, and protein sequences. The goal of bioinformatics is to better understand biological systems at the molecular level. It involves the development of databases to store molecular data and algorithms and software to analyze this data in order to address biological questions and further biological knowledge. Some key applications of bioinformatics include knowledge-based drug design, agricultural biotechnology, and disease research.
Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics
The document discusses several key biological databases and resources for archiving and retrieving genomic and protein information. It describes primary public databases located in Europe, the US, and Japan that house sequence data, analysis tools, and literature. Key databases mentioned include GenBank, EMBL, DDBJ for nucleic acid sequences, Swiss-Prot and PIR for proteins, and PDB for protein structures. NCBI and its Entrez portal provide integrated access to these and additional databases like PubMed, OMIM, and Taxonomy. The document outlines how to submit data to GenBank and search various protein and literature databases.
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.
Biological databases store and organize large amounts of biological data for research use. There are many types of biological databases that classify data by type, such as nucleotide sequences, protein sequences, genomes, protein structures, gene expression, and metabolic pathways. Databases can also be classified by their data source as primary databases containing experimental results or secondary databases that analyze primary database results. Database availability varies, with some publicly open and others proprietary. Common biological databases discussed include GenBank, UniProt, PDB, KEGG, and FlyBase.
The document discusses three data retrieval tools - Entrez, DBGET, and SRS - that allow molecular biologists to search and access information across multiple linked databases. Entrez, developed by NCBI, integrates information from databases including GenBank, RefSeq, PDB, and PubMed. SRS, developed by EBI, is an open source software that integrates over 80 molecular biology databases and has a scripting language called Icarus. SRS indexes over 250 databases and has over 35 servers worldwide. It allows searching of sequence, structure, gene-related, and bibliographic databases through a uniform web interface.
The document discusses biological databases. It begins by defining what a database is, including that it is a collection of related data organized in a way that allows information to be retrieved easily. It then discusses different types of biological databases, including those containing nucleotide sequences, protein sequences, 3D structures, gene expression data, and metabolic pathways. The rest of the document provides details on specific biological databases like GenBank, EMBL, DDBJ, and NCBI databases including Entrez. It emphasizes that biological data is heterogeneous, large in volume, dynamic and integrated across multiple databases.
Primary and secondary databases ppt by puneet kulyanaPuneet Kulyana
This document provides an introduction to databases used for biological data. It defines key terms like data, information, and databases. It describes different types of biological databases including primary databases that contain original experimental data, and secondary databases that contain derived or analyzed data. Examples of primary databases include GenBank, EMBL, and PDB, while secondary databases include PROSITE, PRINTS, and Pfam that contain conserved protein motifs and families. The document also compares primary and secondary databases.
The document discusses different text-based database retrieval systems for accessing biological data, including Entrez, SRS, and DBGET/LinkDB. It describes their key features and how each system allows users to search text databases using queries, with Entrez providing linked related data across multiple databases. An example shows how each system can be used to retrieve and view related information for a SwissProt protein entry.
This document summarizes different types of biological data and biological databases. It discusses primary databases like GenBank, EMBL and DDBJ that contain raw nucleotide sequence data. Secondary databases like KEGG and Pfam analyze and annotate primary database content. Composite databases like NCBI aggregate data from multiple primary sources. Protein databases discussed include Swiss-Prot, TrEMBL, PDB, and Pfam. Structural databases such as SCOP, CATH and PDB organize protein structures.
This document discusses biological databases. It defines a biological database as a collection of structured, searchable, and periodically updated biological data like protein sequences, molecular structures, and DNA sequences. It notes that biological data is heterogeneous, high-volume, uncertain, dynamically changing, and integrated from various global sources. The key functions of biological databases are to make biological data available worldwide in a computer-readable format. They are broadly classified into sequence, structure, and pathway databases. Some examples of important biological databases discussed are Swiss-Prot, PDB, GenBank, and COGs.
INTRODUCTION
WHAT IS DATA AND DATABASE?
WHAT IS BIOLOGICAL DATABASE?
TYPES OF BIOLOGICAL DATABASE
PRIMARY DATABASE
Nucleic acid sequence database
Protein sequence database
SECONDARY DATABASE
COMPOSITE DATABASE
TERTIARY DATABASE
WHY NEED?
CONCLUSION
REFRENCES
This document discusses biological databases. It defines biological databases as structured, searchable collections of biological data that are periodically updated and cross-referenced. It notes that biological databases store data electronically and systematize, make available, and allow analysis of computed biological data. The document then describes some key features of biological databases, including data heterogeneity, high data volumes, uncertainty, data curation, integration, sharing, and dynamic nature. It also provides examples of different types of biological databases classified by data type, maintainer, access, source, design, and organism covered.
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COMPUNATIONAL BIOLOGY AND DATABASES IN BIOINFORMATICS.pptx
1. Dr. Harisingh Gour Viswavidyalaya
A Central University
DEPARTMENT OF ZOOLOGY
TOPIC – DATABASES IN BIOINFORMATICS
MID II ASSIGNMENT
ZOO – SEC – 128
SUBMITED TO – MR. ANUPAM KUMAR
SUBMITED BY –
PRAVANJAN DASH
ROLL NO. – Y23265020, Msc 1st YEAR, 1st SEMESTER
2. INTRODUCTION OF DATABASE
BIOLOGICAL DATABASES are
Collection of files containing records of biological data in
machine readable form Can be accessed, added, retrieved,
manipulated and modified.
Store, manage, connect and distribute data.
Data are arranged by sets of rules which are programmed
into software that manages the data called Database
Management System or DBMS.
A biological database is a collection of data that is
structured, searchable, updated periodically and cross
referenced.
The data is stores, maintained, annotated, curated and
stored for public/research use.
Data collected and organized in a specific but useful way
3. Classification based on type of data stored
Primary Databases: Contain original data in the form of
primary sequence data or structural data as submitted by the
scientific community.
Secondary Databases: Contain information that has been
processed and derived from the raw data available in primary
database.eg: PROSITE, PRINTS, BLOCKS etc..
Composite Databases: Collect and present data after
comparing and filtering them from different primary databases
and exhibit only the non redundant sequences.
4. PRIMARY DATA VERSUS SECONDARY DATA
PRIMARY DATA
• Primary data is a type of data researchers
directly collect from main sources.
• Includes real-time data.
• Collected to address a current research
problem.
• Accessing primary data includes a relatively
long process.
• Data collection tools include observations,
surveys, questionnaires, physical testing,
online questionnaires, personal or telephone
interviews, case studies, and focused group
discussions.
SECONDARY DATA
• Secondary data refers to already existing data
produced by the previous researchers.
• Related to the past.
• Primarily collected to address previously
existed research problems and can be used
to address the current research problem as
well.
• Referring to secondary data is quick and easy.
• Data collection tools include journal articles,
websites, books, government publications,
records, etc.
5. PRIMARY DATABASES
Primary databases contain original biological data. They are
archives of raw sequence or structural data submitted by the scientific
community.
Once given a database a accession number, the data in primary
database are never changed.
There are three (Genbank, EMBL, DDBJ) major public sequence
databases that store raw nucleic acid sequence data produced and
submitted by researchers worldwide.
SOME PRIMARY DATABASES
Nucleic acid databases: Gen Bank, EMBL, DDBJ
Protein sequence databases: PIR, Swiss-Prot, UNIPROT
Protein structure database: PDB
Metabolic databases: KEGG
6. SECONDARY DATABASE
• Secondary database contain additional information
derived from the analysis f data available in primary
sources. econdary databases are analysed in a variety
Of ways and contain different formation in different
formats.
• SOME SECONDARY DATABASES ARE
TrEMBL
Pfam
PROSITE
Profiles
SCOP
CATH
7. NUCLEOTIDE SEQUENCE DATABASE
• Composed of a group of nucleotide sequence entries.
• Data repositories that accept nucleic acid sequence data
and make it freely available to the public.
• All the three are members of the International Nucleotide
Sequence Database Consortium (INSDC) and interchange
data.
• GenBank, EMBL, DDBJ are principal nucleotide
databases.
8. PROTEIN SEQUENCE DATABASES
An array of amino acid sequence entries arranged
according to the identification number.
Well known protein sequence databases available
on www are
Swiss-Prot
PIR
UNIPROT
9. PROTEIN STRUCTURE DATABASE
Many proteins which exhibit a common evolutionary
origin, show structural similarities.
Dissimilar proteins exhibit changes in primary, secondary,
teritiary and quarternary structures.
Similar or dissimilar protein structure can be predicted
with structure database.
These databases store a collection of three dimensional
structures of proteins.
EXAMPLE IS pluggable database (PDB) .