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.
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.
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.
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.
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.
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.
The document discusses three main text-based biological databases for data retrieval - Entrez, Sequence Retrieval System (SRS), and DBGET/LinkDB. It provides details on the types of data each database searches, features, and how to perform searches. Entrez searches nucleotide, protein, and literature databases and links related records. SRS is a search interface for over 80 biology databases at EBI. DBGET/LinkDB integrates database searching with tools like BLAST at GenomeNet in Japan.
Sequence and Structural Databases of DNA and Protein, and its significance in...SBituila
This document discusses various DNA and protein sequence and structural databases, including their history, roles, and available tools. Some of the key databases mentioned are NCBI, EMBL, DDBJ, GenBank, UniProt, and PDB. NCBI maintains large public nucleotide and protein databases and provides analysis tools. EMBL collects and distributes sequence data. PDB is a database for 3D structural data of biomolecules. Together, these databases provide essential resources for genomic and proteomic research.
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.
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.
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.
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.
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.
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.
The document discusses three main text-based biological databases for data retrieval - Entrez, Sequence Retrieval System (SRS), and DBGET/LinkDB. It provides details on the types of data each database searches, features, and how to perform searches. Entrez searches nucleotide, protein, and literature databases and links related records. SRS is a search interface for over 80 biology databases at EBI. DBGET/LinkDB integrates database searching with tools like BLAST at GenomeNet in Japan.
Sequence and Structural Databases of DNA and Protein, and its significance in...SBituila
This document discusses various DNA and protein sequence and structural databases, including their history, roles, and available tools. Some of the key databases mentioned are NCBI, EMBL, DDBJ, GenBank, UniProt, and PDB. NCBI maintains large public nucleotide and protein databases and provides analysis tools. EMBL collects and distributes sequence data. PDB is a database for 3D structural data of biomolecules. Together, these databases provide essential resources for genomic and proteomic research.
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.
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.
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
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/
S.Prasanth Kumar is a bioinformatician who studies proteomics, 2D-PAGE, and proteome databases. Proteomics involves the study of proteins expressed by a genome through analysis of protein sequences, structures, modifications, and interactions. Major databases include Swiss-Prot, which contains annotated protein sequences, and TrEMBL, which contains automatically generated sequences. Other databases contain information on protein families and domains, nucleotide sequences, 2D-PAGE gel images, and post-translational modifications.
Protein databases contain information on protein sequences, structures, and functions. The major protein databases are:
- Protein Data Bank (PDB) which contains 3D protein structures determined via X-ray crystallography or NMR.
- Swiss-Prot which contains manually annotated protein sequences and functions.
- TrEMBL which supplements Swiss-Prot with automatically annotated translations of DNA sequences.
Protein databases are important for comparing proteins, understanding relationships between proteins, and aiding the study of new proteins. Searching databases is often the first step in protein research.
The document discusses several primary nucleic acid sequence databases including GenBank, EMBL, and DDBJ. These databases contain experimentally derived DNA and RNA sequences submitted directly by researchers. While there is some redundancy between the databases, the entries are synchronized daily and accession numbers are managed consistently. The databases have grown large and can now be searched in subdivisions for more targeted queries.
This document provides an overview of protein databases. It discusses the importance of protein databases for storing and analyzing protein sequence, structure, and functional data generated by modern biology. It summarizes several major public protein databases, including UniProt, NCBI RefSeq, PDB, InterPro, and Pfam, which contain protein sequences, structures, families, domains, and functional annotations. Searching and comparing sequences in these databases is an important first step in studying new proteins.
BITS: Overview of important biological databases beyond sequencesBITS
Module 4 Other relevant biological data sources beyond sequences
Part of training session "Basic Bioinformatics concepts, databases and tools" - http://www.bits.vib.be/training
The document summarizes the various database resources and tools provided by the National Center for Biotechnology Information (NCBI). It describes NCBI's data retrieval systems like Entrez and PubMed, sequence analysis tools like BLAST, and resources for gene sequences, chromosomal sequences, genomes, gene expression, and protein structures. NCBI maintains the GenBank nucleic acid sequence database and provides data retrieval, analysis, and additional biological resources through its website.
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.
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.
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. It discusses primary databases like GenBank which contain original sequence submissions and secondary databases derived from primary data, maintained by third parties like NCBI. Some key databases mentioned include GenBank, PDB, Swiss-Prot. The document also provides an overview of the NCBI and Entrez retrieval system, which allows integrated searches across literature and sequences.
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 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.
This document discusses biological databases and nucleic acid sequence databases. It describes the three primary nucleotide sequence databases: GenBank, EMBL, and DDBJ. GenBank is hosted by the National Center for Biotechnology Information and contains over 286 million bases and 352,000 sequences. EMBL is hosted by the European Molecular Biology Laboratory and mirrors data daily with GenBank and DDBJ. DDBJ is the DNA Data Bank of Japan and also mirrors data daily with the other two databases. Biological databases are important tools for scientists to understand biology at multiple levels.
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.
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.
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
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/
S.Prasanth Kumar is a bioinformatician who studies proteomics, 2D-PAGE, and proteome databases. Proteomics involves the study of proteins expressed by a genome through analysis of protein sequences, structures, modifications, and interactions. Major databases include Swiss-Prot, which contains annotated protein sequences, and TrEMBL, which contains automatically generated sequences. Other databases contain information on protein families and domains, nucleotide sequences, 2D-PAGE gel images, and post-translational modifications.
Protein databases contain information on protein sequences, structures, and functions. The major protein databases are:
- Protein Data Bank (PDB) which contains 3D protein structures determined via X-ray crystallography or NMR.
- Swiss-Prot which contains manually annotated protein sequences and functions.
- TrEMBL which supplements Swiss-Prot with automatically annotated translations of DNA sequences.
Protein databases are important for comparing proteins, understanding relationships between proteins, and aiding the study of new proteins. Searching databases is often the first step in protein research.
The document discusses several primary nucleic acid sequence databases including GenBank, EMBL, and DDBJ. These databases contain experimentally derived DNA and RNA sequences submitted directly by researchers. While there is some redundancy between the databases, the entries are synchronized daily and accession numbers are managed consistently. The databases have grown large and can now be searched in subdivisions for more targeted queries.
This document provides an overview of protein databases. It discusses the importance of protein databases for storing and analyzing protein sequence, structure, and functional data generated by modern biology. It summarizes several major public protein databases, including UniProt, NCBI RefSeq, PDB, InterPro, and Pfam, which contain protein sequences, structures, families, domains, and functional annotations. Searching and comparing sequences in these databases is an important first step in studying new proteins.
BITS: Overview of important biological databases beyond sequencesBITS
Module 4 Other relevant biological data sources beyond sequences
Part of training session "Basic Bioinformatics concepts, databases and tools" - http://www.bits.vib.be/training
The document summarizes the various database resources and tools provided by the National Center for Biotechnology Information (NCBI). It describes NCBI's data retrieval systems like Entrez and PubMed, sequence analysis tools like BLAST, and resources for gene sequences, chromosomal sequences, genomes, gene expression, and protein structures. NCBI maintains the GenBank nucleic acid sequence database and provides data retrieval, analysis, and additional biological resources through its website.
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.
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.
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. It discusses primary databases like GenBank which contain original sequence submissions and secondary databases derived from primary data, maintained by third parties like NCBI. Some key databases mentioned include GenBank, PDB, Swiss-Prot. The document also provides an overview of the NCBI and Entrez retrieval system, which allows integrated searches across literature and sequences.
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 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.
This document discusses biological databases and nucleic acid sequence databases. It describes the three primary nucleotide sequence databases: GenBank, EMBL, and DDBJ. GenBank is hosted by the National Center for Biotechnology Information and contains over 286 million bases and 352,000 sequences. EMBL is hosted by the European Molecular Biology Laboratory and mirrors data daily with GenBank and DDBJ. DDBJ is the DNA Data Bank of Japan and also mirrors data daily with the other two databases. Biological databases are important tools for scientists to understand biology at multiple levels.
Similar to DATABASES...............................pptx (20)
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
2. DATABASE
Information available and related to a particular topic or subject is called as data.
A database is a computerized archive used to store and organize data in such a way that information can be
retrieved easily via a variety of search criteria.
Computerized databases offer many facilities and utilities:
It is easy to search and obtain required information.
Redundancy of data can be reduced. This also avoids inconsistencies in the data, since any change to the data
need not be carried out at several places in the database.
The data can be shared more easily because a database may be accessed by several users simultaneously.
The data can be authenticated and standards can be enforced more easily.
2
3. BIOLOGICAL DATABASE
A collection of biological data arranged in computer readable form that enhances the speed of search and retrieval
and is convenient to use is called a biological database. A range of information collected from scientific
experiments, published literature, information regarding biological sequences, structures, binding sites, metabolic
interactions, functional relationships, protein families, motifs (a short conserved region in a DNA sequence or
protein) and homologs (biological molecules related to one another by divergent evolution from a common
ancestor) etc., can be retrieved from these databases. They link knowledge obtained from various fields of biology
and medicine.
Biological databases are of the following types:
1. Primary database
2. Secondary database
3. Composite database
3
4. PRIMARY DATABASES
Primary databases store raw experimental data and
contain only sequence or structure information. The
different types of primary databases are
4
5. 1. Primary nucleic acid databases
They hold the experimentally determined nucleotide sequence information, together with the protein
sequence inferred from the conceptual translation of these nucleotide sequences.
These are sequences submitted directly by scientists and genome sequencing groups, and sequences
taken from literature and patents.
The three primary nucleotide sequence databases are the Nucleotide Sequence Database maintained
by EMBL, GenBank and DDBJ . These three comprise the International Nucleotide Sequence
Database Collaboration.
Database entries are exchanged on a daily basis between these three primary nucleotide databases and
hence the three function as a virtually unified db called INSD- International Nucleotide Sequence
Database.
These databases can be used without any legal restrictions.
5
6. a) GenBank
Is a public db of all known nucleotide and protein sequences with supporting bibliographic and
biological annotation.
Is built and maintained by NCBI.
Besides sequence data GenBank files contain information such as accession numbers, gene names,
phylogenetic classification and references to published literature.
Data may be submitted using BankIt- a www-based submission tool, Sequin – NCBI’s stand-alone
submission software or using Barcode Submission Tool- a web-based submission tool.
Retrieval of data is through the Entrez System- a db retrieval system that helps access the db entries.
6
7. b) EMBL (European Molecular Biology Laboratory)
Constitutes Europe’s primary nucleotide seq. resource.
The data originates from a combination of large-scale genome sequencing projects, direct submissions
from individual scientists and the European Patent Office.
There is a quarterly release of the whole database while new and updated records are distributed daily.
EMBL db entries are grouped into divisions based mainly on taxonomy with a few exceptions like the
new HTG (High-Throughput Genome Sequences) and GSS ( Genome Survey Sequences) divisions, for
which grouping is based on the specific nature of the underlying data. Thus divisions provide subsets of
the database which reflect the areas of interest of many users. The EMBL db currently consists of 17
divisions with each entry belonging to exactly one division.
The database can be accessed or sequences can be retrieved via the EBI SRS server (Sequence
Retrieval System) or the FTP server or using the Dbfetch (database fetch) – a tool for simple sequence
retrieval via http.
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8. c) DDBJ (DNA Data Bank of Japan)
Is the only nucleotide sequence databank in Asia certified to collect nucleotide sequences from
researchers and to issue the internationally recognized accession number to data submitters.
It collects sequence data mainly from Japanese researchers.
The principle purpose of DDBJ operations is to improve the quality of INSD i.e. when researchers
make their data open to public through INSD, scientists at DDBJ make efforts to describe
information on the data as rich as possible, according to the unified rules of INSD.
For submitting their data, Japanese genome teams use mass submission tool –MST.
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9. 2. PRIMARY PROTEIN SEQUENCE
DATABASES
They contain entries which describe protein domains, families and
functional sites. They also contain associated patterns and profiles to
identify protein domains and families.
Swiss-Prot, TrEMBL (translated EMBL) and PIR (Protein
Information Resource) are the primary protein databases and are
different from the nucleotide databases. These databases are curated, i
e., they are created and maintained by groups of scientists.
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10. Swiss-Prot
Swiss-Prot tries to provide a high level of annotation (such as the description of the function of a
protein, its domain structure, post translational modifications, variants etc) and a minimum level of
redundancy. It has a high level of integration with other databases.
The Swiss-Prot entry contains large number of annotations. Each line begins with two letters, many of
which are self-explanatory. Eg. ID (identity), AC (accession number), DT (date), DE (description), GN
(gene name), CC (comment) etc..
Swiss-Prot not only presents a fairly comprehensive description of the protein and its functions but also
provides cross references to the relevant entries in the secondary databases like PROSITE, PRINTS,
Pfam, etc..
The Swiss-Prot database has some legal restrictions. The entries themselves are copyrighted, but freely
accessible and usable by academic researchers. Commercial companies must pay a license fee to use
Swiss-Prot.
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11. TrEMBL
TrEMBL is a computer annotated supplement of Swiss Prot and contains all the
translations of the EMBL sequence entries that are not yet integrated in Swiss-Prot.
The annotation of an entry in TrEMBL has not reached the standards required for
inclusion into Swiss-Prot. As further data ensure the reliability of annotations,
TrEMBL entries are moved to Swiss-Prot.
Swiss-Prot and TrEMBL are developed by the Swiss-Prot groups at Swiss
Institute of Bioinformatics (SIB) and at European Bioinformatics Institute (EBI).
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12. PIR
PIR is a protein sequence database of functionally annotated protein sequences. It tries to be
comprehensive, well organised, accurate and consistently annotated. It does not reach the level of
completeness in entry annotation as does Swiss- Prot.
It is a division of NBRF (National Biomedical Research Foundation) in the US
It has collaborated with EBI and SIB to establish the UniProt (universal protein database), that provides a
single, centralised, authoritative resource for protein sequences and functional information.
PIR also produces the NRL-3D -a database of sequences extracted from the 3D structures in the PDB.
The NRL 3D database makes the sequence information in PDB available for similarity searches and
retrieval and provides cross reference information for use with other PIR protein sequence databases.
The Swiss-Prot and PIR overlap extensively but there are still many sequences which can be found only
in one.
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13. 3. PRIMARY STRUCTURE
DATABASE
They pertain to macromolecular structure and store data on
protein and nucleic acid structure. The primary resource for
protein structure data is the Protein Data Bank (PDB). It is
the worldwide archive of structural data maintained by the
Research Collaboratory for Structural Bioinformatics
(RCSB), at Rutgers University. The associated Nucleic acid
Data Bank (NDB) is also maintained here.
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14. It is the main primary database for 3D structures of biological macromolecules.
Data from X-ray crystallography and NMR spectroscopic studies are deposited in the PDB
(using a web-based interface called AutoDep Input Tool). The data are extensively checked and
verified by human curators before acceptance.
It also accepts experimental data used to determine the structures and homology models.
PDB entries contain atomic coordinates, and some structural parameters connected with atoms.
PDB entries are annotated but are not as comprehensive as in Swiss-Prot
There are no legal restrictions on the use of PDB.
It was established in 1970 at the Brookhaven lab New York, US. It is maintained by RCSB
(Research Collaboratory for Structural Bioinformatics).
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15. Secondary databases
are databases having information derived from the data in the primary database. They
consolidate, summarise, standardise, classify, index and comment on primary databases. These
are very important for inferring protein function. Examples are PROSITE, PRINTS, BLOCKS,
etc..
Composite databases
Amalgamates the information held in two or more of the primary databases. This means that
only one database needs be searched rather than do multiple searches on individual primary
dbs.
Eg: OWL- SwissProt, PIR, GenPept and NRL3D
NRDB- SwissProt and TrEMBL.
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16. Organism specific databases
Contain information, links and resources dedicated to particular species. They contain information
on sequence data, gene expression, mutant phenotypes, genome maps, genome sequencing projects
and relevant scientific literature and provide links to resources for obtaining clones, mutants as well
as for contacting researchers.
Eg. EcoGene – database for E.coli, Mouse Genome Database (MSD) for mouse, OMIM (Online
Mendilian Inheritance in Man)
Specialised sequence databases
These databases have particular types of nucleic acid or protein sequences deposited in them. For
example, there are databases specifically for rRNA and tRNA sequences.
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17. Commercial databases
Unlike public databases which can be accessed freely by anyone using the WWW, commercial databases
require subscription as they are the result of a single company’s research and investment.
Eg. Incyte, UniGene etc.
Literature databases
A literature database contains the abstracts and in some cases, the full text and figures of published articles.
Such databases can be searched using text strings to find words in the title, abstract, keywords, or by author
or author’s institution. Medline was one of the earliest comprehensive online library resources. It has now
been incorporated into a large resource called PubMed maintained by the NCBI. Other examples are the
Web of Science and BioMedNet.
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