Talk given at the symposium about government-funded databases and open chemistry at the national meeting of the American Chemical Society in Washington, 21 Aug 2017
Following the success of global efforts to exchange genomic and other biomedical data, we have now witnessed the emergence of global databases in metabolomics. The MetaboLights database, the first general purpose, cross-species, cross-application database in metabolomics, became the fastest growing data repository at the EMBL-EBI in terms of data volume. Here we present the automated assembly of species metabolomes in MetaboLights through user submissions. User submission of data to public repositories such as MetaboLights are now not only encouraged by publishers and funders but can now also directly benefit the publication record of a scientist by describing the published dataset in a data publication in journals such as Nature Scientific Data.
Ontologies and Semantic Web technologies play an important role in the life sciences to help make data more interoperable and reusable. There are now many publicly available ontologies that enable biologists to describe everything from gene function through to animal physiology and disease.
Various efforts such as the Open Biomedical Ontologies (OBO) foundry provide central registries for biomedical ontologies and ensure they remain interoperable through a set of common shared development principles.
At EMBL-EBI we contribute to the development of biomedical ontologies and make extensive use of them in the annotation of public datasets. Biological data typically comes with rich and often complex metadata, so the ontologies provide a standard way to capture “what the data is about” and gives us hooks to connect to more data about similar things.
These ontology annotations have been put to good use in a number of large-scale data integration efforts and there’s an increasing recognition of the need for ontologies in making data FAIR (Findable, Accessible, Interoperable and Reusable).
EMBL-EBI build a number of integrative data platforms where ontologies are at the core of our domain models. One example is the Open Targets platform, where data about disease from 18 different databases can be aggregated and grouped based on therapeutic areas in the ontology and used to identify potential drug targets.
The ontologies team at EMBL-EBI provide a suite of services that are aimed at making ontologies more accessible for both humans and machines. We work with scientific data curators and software developers to integrate ontologies and semantics into both the data generation and data presentation workflows. We provide:
– An ontology lookup service (OLS) that provides search and visualisation services to over 200+ ontologies
– Services for automating the annotation of metadata and learning from previous annotations (Zooma)
– An ontology mapping and alignment service (OXO)
– Tools for working with metadata and ontologies in spreadsheets (Webulous)
– Software for enriching documents in search engines to support “semantic” query expansion
I’ll present how we are using these services at EMBL-EBI to scale up the semantic annotation of metadata. I’ll talk about our open source technology stack and describe how we utilise a polyglot persistence approach (graph databases, triples stores, document stores etc) to optimize how we deliver ontologies and semantics to our users.
Event: Plant and Animal Genomes conference 2012
Speaker: Rachael Huntley
The Gene Ontology (GO) is a well-established, structured vocabulary used in the functional annotation of gene products. GO terms are used to replace the multiple nomenclatures used by scientific databases that can hamper data integration. Currently, GO consists of more than 35,000 terms describing the molecular function, biological process and subcellular location of a gene product in a generic cell. The UniProt-Gene Ontology Annotation (UniProt-GOA) database1 provides high-quality manual and electronic GO annotations to proteins within UniProt. By annotating well-studied proteins with GO terms and transferring this knowledge to less well-studied and novel proteins that are highly similar, we offer a valuable contribution to the understanding of all proteomes. UniProt-GOA provides annotated entries for over 387,000 species and is the largest and most comprehensive open-source contributor of annotations to the GO Consortium annotation effort. Annotation files for various proteomes are released each month, including human, mouse, rat, zebrafish, cow, chicken, dog, pig, Arabidopsis and Dictyostelium, as well as a file for the multiple species within UniProt. The UniProt-GOA dataset can be queried through our user-friendly QuickGO browser2 or downloaded in a parsable format via the EBI3 and GO Consortium FTP4 sites. The UniProt-GOA dataset has increasingly been integrated into tools that aid in the analysis of large datasets resulting from high-throughput experiments thus assisting researchers in biological interpretation of their results. The annotations produced by UniProt-GOA are additionally cross-referenced in databases such as Ensembl and NCBI Entrez Gene.
1 http://www.ebi.ac.uk/GOA
2 http://www.ebi.ac.uk/QuickGO
3 ftp://ftp.ebi.ac.uk/pub/databases/GO/goa
4 ftp://ftp.geneontology.org/pub/go/gene-associations
an overview about EMBL-ABR, including bioinformatics infrastructure initiatives at national and pan-national level across the globe and activities EMBL-ABR is currently doing.
Following the success of global efforts to exchange genomic and other biomedical data, we have now witnessed the emergence of global databases in metabolomics. The MetaboLights database, the first general purpose, cross-species, cross-application database in metabolomics, became the fastest growing data repository at the EMBL-EBI in terms of data volume. Here we present the automated assembly of species metabolomes in MetaboLights through user submissions. User submission of data to public repositories such as MetaboLights are now not only encouraged by publishers and funders but can now also directly benefit the publication record of a scientist by describing the published dataset in a data publication in journals such as Nature Scientific Data.
Ontologies and Semantic Web technologies play an important role in the life sciences to help make data more interoperable and reusable. There are now many publicly available ontologies that enable biologists to describe everything from gene function through to animal physiology and disease.
Various efforts such as the Open Biomedical Ontologies (OBO) foundry provide central registries for biomedical ontologies and ensure they remain interoperable through a set of common shared development principles.
At EMBL-EBI we contribute to the development of biomedical ontologies and make extensive use of them in the annotation of public datasets. Biological data typically comes with rich and often complex metadata, so the ontologies provide a standard way to capture “what the data is about” and gives us hooks to connect to more data about similar things.
These ontology annotations have been put to good use in a number of large-scale data integration efforts and there’s an increasing recognition of the need for ontologies in making data FAIR (Findable, Accessible, Interoperable and Reusable).
EMBL-EBI build a number of integrative data platforms where ontologies are at the core of our domain models. One example is the Open Targets platform, where data about disease from 18 different databases can be aggregated and grouped based on therapeutic areas in the ontology and used to identify potential drug targets.
The ontologies team at EMBL-EBI provide a suite of services that are aimed at making ontologies more accessible for both humans and machines. We work with scientific data curators and software developers to integrate ontologies and semantics into both the data generation and data presentation workflows. We provide:
– An ontology lookup service (OLS) that provides search and visualisation services to over 200+ ontologies
– Services for automating the annotation of metadata and learning from previous annotations (Zooma)
– An ontology mapping and alignment service (OXO)
– Tools for working with metadata and ontologies in spreadsheets (Webulous)
– Software for enriching documents in search engines to support “semantic” query expansion
I’ll present how we are using these services at EMBL-EBI to scale up the semantic annotation of metadata. I’ll talk about our open source technology stack and describe how we utilise a polyglot persistence approach (graph databases, triples stores, document stores etc) to optimize how we deliver ontologies and semantics to our users.
Event: Plant and Animal Genomes conference 2012
Speaker: Rachael Huntley
The Gene Ontology (GO) is a well-established, structured vocabulary used in the functional annotation of gene products. GO terms are used to replace the multiple nomenclatures used by scientific databases that can hamper data integration. Currently, GO consists of more than 35,000 terms describing the molecular function, biological process and subcellular location of a gene product in a generic cell. The UniProt-Gene Ontology Annotation (UniProt-GOA) database1 provides high-quality manual and electronic GO annotations to proteins within UniProt. By annotating well-studied proteins with GO terms and transferring this knowledge to less well-studied and novel proteins that are highly similar, we offer a valuable contribution to the understanding of all proteomes. UniProt-GOA provides annotated entries for over 387,000 species and is the largest and most comprehensive open-source contributor of annotations to the GO Consortium annotation effort. Annotation files for various proteomes are released each month, including human, mouse, rat, zebrafish, cow, chicken, dog, pig, Arabidopsis and Dictyostelium, as well as a file for the multiple species within UniProt. The UniProt-GOA dataset can be queried through our user-friendly QuickGO browser2 or downloaded in a parsable format via the EBI3 and GO Consortium FTP4 sites. The UniProt-GOA dataset has increasingly been integrated into tools that aid in the analysis of large datasets resulting from high-throughput experiments thus assisting researchers in biological interpretation of their results. The annotations produced by UniProt-GOA are additionally cross-referenced in databases such as Ensembl and NCBI Entrez Gene.
1 http://www.ebi.ac.uk/GOA
2 http://www.ebi.ac.uk/QuickGO
3 ftp://ftp.ebi.ac.uk/pub/databases/GO/goa
4 ftp://ftp.geneontology.org/pub/go/gene-associations
an overview about EMBL-ABR, including bioinformatics infrastructure initiatives at national and pan-national level across the globe and activities EMBL-ABR is currently doing.
Lecture presented at the Journals Club of the Naturhistorisches Museum Bern, March 17, 2014.
"Towards an (European) Open Biodiversity Knowledge Management System"
Talk to OpenForum Academy (Open Forum Europe) about Text and data Mining. Four use cases selected fo non-scientists. Also discussion of latest on Europena copyright reform and TDM exceptions
Event: Plant and Animal Genomes Conference 2012.
Speaker: Bert Overduin
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) provides a comprehensive record of the world's nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. Major components of ENA include the Sequence Read Archive (SRA) for next generation data and EMBL-Bank for assembled and annotated sequences. ENA works closely together with NCBI and DDBJ as partners in the International Nucleotide Sequence Database Collaboration (INSDC). Data arrive at ENA from a variety of sources. These include submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centres and routine and comprehensive exchange with our INSDC partners. Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and provides a portfolio of interactive and programmatic submission services to ensure the smoothest flow possible of data into the public domain. ENA data can be searched using rapid sequence similarity and text search services provided both within web-based tools and under programmatic interfaces. Data can be retrieved in a variety of appropriate widely adopted formats through a web browser and extensive REST services. This presentation will consist of an introduction to ENA, followed by a short demonstration of the various ways data can be browsed and retrieved.
INTRODUCTION.
NCBI.
EMBL.
DDBJ.
CONCLUSION.
REFERENSE.
The National Center for Biotechnology Information (NCBI) is part of the United States National Library of Medicine (NLM), a branch of the National Institutes of Health.
The NCBI is located in Bethesda, Maryland and was founded in 1988 through legislation sponsored by Senator Claude Pepper.
The NCBI houses a series of databases relevant to biotechnology and biomedicine. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for the biomedical literature.
All these databases are available online through the Entrez search engine.
European Molecular Biology Laboratory (EMBL)- European Bioinformatics Institu...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Building the Database with International Isolates: European Molecular Biology Laboratory (EMBL)- European Bioinformatics Institute (EBI). Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management -23-25 May 2016, Rome, Italy.
ExPASy is the SIB Bioinformatics Resource Portal which provides access to scientific databases and software tools (i.e., resources) in different areas of life sciences including proteomics, genomics, phylogeny, systems biology, population genetics, transcriptomics etc
Published on Feb 07, 2016 by PMR
Use of ContentMine tools on the Open Access subset of EuropePubMedCentral to discover new knowledge about the Zika virus. Includes clips of the software in action
Metagenomic Data Provenance and Management using the ISA infrastructure --- o...Alejandra Gonzalez-Beltran
Metagenomic Data Provenance and Management using the ISA infrastructure - overview, implementation patterns & software tools
Slides presented at EBI Metagenomics Bioinformatics course: http://www.ebi.ac.uk/training/course/metagenomics2014
Ontologies for life sciences: examples from the gene ontologyMelanie Courtot
A half day course presented during the Earlham Institute summer school on bioinformatics 2016, in Norwich, UK, http://www.earlham.ac.uk/earlham-institute-summer-school-bioinformatics
World-wide data exchange in metabolomics, Wageningen, October 2016Christoph Steinbeck
Talk given at the Netherlands Institute of Ecology in Wageningen, where I describe the development of the MetaboLights database and the value of data sharing in Metabolomics and molecular Biology in General
Lecture presented at the Journals Club of the Naturhistorisches Museum Bern, March 17, 2014.
"Towards an (European) Open Biodiversity Knowledge Management System"
Talk to OpenForum Academy (Open Forum Europe) about Text and data Mining. Four use cases selected fo non-scientists. Also discussion of latest on Europena copyright reform and TDM exceptions
Event: Plant and Animal Genomes Conference 2012.
Speaker: Bert Overduin
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) provides a comprehensive record of the world's nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. Major components of ENA include the Sequence Read Archive (SRA) for next generation data and EMBL-Bank for assembled and annotated sequences. ENA works closely together with NCBI and DDBJ as partners in the International Nucleotide Sequence Database Collaboration (INSDC). Data arrive at ENA from a variety of sources. These include submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centres and routine and comprehensive exchange with our INSDC partners. Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and provides a portfolio of interactive and programmatic submission services to ensure the smoothest flow possible of data into the public domain. ENA data can be searched using rapid sequence similarity and text search services provided both within web-based tools and under programmatic interfaces. Data can be retrieved in a variety of appropriate widely adopted formats through a web browser and extensive REST services. This presentation will consist of an introduction to ENA, followed by a short demonstration of the various ways data can be browsed and retrieved.
INTRODUCTION.
NCBI.
EMBL.
DDBJ.
CONCLUSION.
REFERENSE.
The National Center for Biotechnology Information (NCBI) is part of the United States National Library of Medicine (NLM), a branch of the National Institutes of Health.
The NCBI is located in Bethesda, Maryland and was founded in 1988 through legislation sponsored by Senator Claude Pepper.
The NCBI houses a series of databases relevant to biotechnology and biomedicine. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for the biomedical literature.
All these databases are available online through the Entrez search engine.
European Molecular Biology Laboratory (EMBL)- European Bioinformatics Institu...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Building the Database with International Isolates: European Molecular Biology Laboratory (EMBL)- European Bioinformatics Institute (EBI). Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management -23-25 May 2016, Rome, Italy.
ExPASy is the SIB Bioinformatics Resource Portal which provides access to scientific databases and software tools (i.e., resources) in different areas of life sciences including proteomics, genomics, phylogeny, systems biology, population genetics, transcriptomics etc
Published on Feb 07, 2016 by PMR
Use of ContentMine tools on the Open Access subset of EuropePubMedCentral to discover new knowledge about the Zika virus. Includes clips of the software in action
Metagenomic Data Provenance and Management using the ISA infrastructure --- o...Alejandra Gonzalez-Beltran
Metagenomic Data Provenance and Management using the ISA infrastructure - overview, implementation patterns & software tools
Slides presented at EBI Metagenomics Bioinformatics course: http://www.ebi.ac.uk/training/course/metagenomics2014
Ontologies for life sciences: examples from the gene ontologyMelanie Courtot
A half day course presented during the Earlham Institute summer school on bioinformatics 2016, in Norwich, UK, http://www.earlham.ac.uk/earlham-institute-summer-school-bioinformatics
World-wide data exchange in metabolomics, Wageningen, October 2016Christoph Steinbeck
Talk given at the Netherlands Institute of Ecology in Wageningen, where I describe the development of the MetaboLights database and the value of data sharing in Metabolomics and molecular Biology in General
A biological Database is a convenient system to properly store, search and retrieve any type of data.
It helps in easily handling and sharing large amounts of data.
It contains information from genomics, proteomics, microarray gene expression, etc.
Talk by Christoph Steinbeck, European Bioinformatics Institute (EMBL-EBI) on challenges for data sharing of clinical data in metabolomics research. This workshop was co-organised with the European BBMRI Biobanking infrastructure as part of the BioMedBridge symposium at the Wellcome Trust Conference Centre in Hinxton, UK.
Facilitating semantic alignment of EMBL-EBI services using ontologies and semantic web technology. Presentation at the BioHackathon Symposium 2016, Japan.
BIOLOGICAL DATABASES :
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.
The chief objective of the development of a database is to organize data in a set of structured records to enable easy retrieval of information.
Example. 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.
IMPORTANCE OF DATABASES :
1. Databases act as a store house of information.
2. Databases are used to store and organize data in such a way that information can be retrieved easily via a variety of search criteria.
3. It allows knowledge discovery, which refers to the identification of connections between pieces of information that were not known when the information was first entered. This facilitates the discovery of new biological insights from raw data.
4. Secondary databases have become the molecular biologist’s reference library over the past decade or so, providing a wealth of information on just about any gene or gene product that has been investigated by the research community.
5. It helps to solve cases where many users want to access the same entries of data.
6. Allows the indexing of data.
7. It helps to remove redundancy of data.
TYPES OF BIOLOGICAL DATABASES:
Biological databases are classified on
1. Based on content of biological data
2. Based on the nature of data.
1. BASED ON CONTENT OF BIOLOGICAL DATA :
Based on their contents, biological databases can be roughly divided into two categories:
1. Primary databases
2. Secondary databases
Similar to Building a Model Organism Metabolome Database (20)
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
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).
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
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.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
7. European Bioinformatics Institute (EBI)
Genes, genomes & variation
Literature &
ontologies
Europe PubMed Central
Gene Ontology
Experimental Factor Ontology
Molecular structures
Protein Data Bank in Europe
Electron Microscopy Data Bank
European Nucleotide Archive
1000 Genomes
Gene, protein & metabolite expression
Protein sequences, families & motifs
Chemical biology
Reactions, interactions &
pathways Systems
Ensembl
Ensembl Genomes
European Genome-phenome Archive
Metagenomics portal
10. •8.7 mio eukaryotic species on earth (+- 1.3mio)
•1.2 mio species identified and classified
11. •8.7 mio eukaryotic species on earth (+- 1.3mio)
•1.2 mio species identified and classified
•3000 - 4000 complete species genomes sequenced
12. •8.7 mio eukaryotic species on earth (+- 1.3mio)
•1.2 mio species identified and classified
•3000 - 4000 complete species genomes sequenced
13. •8.7 mio eukaryotic species on earth (+- 1.3mio)
•1.2 mio species identified and classified
•3000 - 4000 complete species genomes sequenced
What about completed metabolomes?
14. •8.7 mio eukaryotic species on earth (+- 1.3mio)
•1.2 mio species identified and classified
•3000 - 4000 complete species genomes sequenced
What about completed metabolomes?
20. The way things go
(for those fields I observed in Molecular Biology)
• Field emerges
• Scattered ecosystem of academic specialist databases
appears
• Field matures
• Efforts on open data formats, (MI-) standards, happen
• Long-term maintained databases by large data
providers are founded (at NCBI, EBI, DDBJ, …)
• Global data exchange network emerge
21. Experimental Repository
Reference Layer
Chemistry Spectroscopy Biology
AnalysisTools
Primary Literature
Primary data and Meta-Data, Spectra, Protocols, Synopses, ...
MetaboLights Database at the EBI
22. MetaboLights Database at the EBI
Labs around the
world send us
their data and
we…
Archive it
Classify it
Share it with
other data
providers
Analyse it
…provide
tools to help
researchers
use it
A collaborative
enterprise
23. MetaboLights Database at the EBI
Labs around the
world send us
their data and
we…
Archive it
Classify it
Share it with
other data
providers
Analyse it
…provide
tools to help
researchers
use it
A collaborative
enterprise
Data at the EBI
can be
used freely
by anyone for any
purpose
24. MetaboLights Repository at the EBI
Labs around the
world send us
their data and
we…
Archive it
Classify it
Share it with
other data
providers
Analyse it
…provide
tools to help
researchers
use it
A collaborative
enterprise
EBI databases are
supported over
decades
26. Data growth in EBI data repositories
3-month
doubling time
for
Metabolomics
27. Data growth in EBI data repositories
3-month
doubling time
for
Metabolomics
MetaboLights is now
the recommended
repository
for the Nature journals,
EMBO journal, PLOS
journals, Metabolomics
Journal and others
45. Lessons learned from this
excursion into bioinformatics
• You can get people into depositing data by
convincing publishers to require it.
• This is easier once it became a community meme.
• Publishers, learned societies and funders actually
want this to happen, but are afraid.
• If one starts, others follow.
• It takes about six years to get there, once others
have done it.