Matching Domain Ontologies A Comparative Study [Mode De Compatibilité]Leila Zemmouchi-Ghomari
it's our presentation at CISIS 2009, International Conference on Complex, Intelligent and Software Intensive Systems held in Fukuoka, Japan
March 16-March 19 2009.
Eamonn Maguire: The Open Source ISA Metadata Tracking Framework: From Data Cu...GigaScience, BGI Hong Kong
Eamonn Maguire's talk on "The Open Source ISA Metadata Tracking Framework: From Data Curation and Management at the Source, to the Linked Data Universe" at ISCB-Asia, December 17th 2012
Event: Plant and Animal Genomes conference 2012
Speaker: Michel Schneider
The UniProt Knowledgebase consists of two sections, UniProtKB/Swiss-Prot, which contains manually-annotated protein sequence enriched with functional information added by expert human curators, and UniProtKB/TrEMBL, which contains unreviewed records that are enhanced by information provided by automated rule-based annotation systems. The majority of UniProtKB records are based on automatic translation of coding sequences (CDS) provided by submitters at the time of initial deposition to the nucleotide sequence databases. In order to provide the complete proteome of Arabidopsis thaliana, a complementary curation pipeline for import of protein sequences from TAIR has been developed. As the complete genome reannotation proposed in the TAIR10 release contains most of the sequences already in UniProtKB, these existing sequences have to be reconciled with those imported. Around 7% of them have a different gene model and should be checked manually. Based on these comparisons, we improved over 200 of our predicted proteins. In exchange, we provide TAIR with the gene model corrections that we introduce on the bases of our trans-species family annotation. This approach allows identification of data that can be seamlessly transferred from one site to the other and the development of common annotations. With the significant increase in the number of complete genomes sequenced (1001 Arabidopsis cultivars are currently under way!), organization of this data in a convenient way is critical. UniProt have selected a set of “reference proteomes”, including A. thaliana cv. Columbia, which provide broad coverage of the tree of life and constitute a representative cross-section of the taxonomic diversity to be found within UniProtKB.
Bringing reason to phenotype diversity, character change, and common descentHilmar Lapp
Talk I gave in the National Center for BioOntologies (NCBO) Webinar series, on Nov 17, 2010.
Abstract, bio, and video recording are at the NCBO website:
http://www.bioontology.org/phenoscape
Matching Domain Ontologies A Comparative Study [Mode De Compatibilité]Leila Zemmouchi-Ghomari
it's our presentation at CISIS 2009, International Conference on Complex, Intelligent and Software Intensive Systems held in Fukuoka, Japan
March 16-March 19 2009.
Eamonn Maguire: The Open Source ISA Metadata Tracking Framework: From Data Cu...GigaScience, BGI Hong Kong
Eamonn Maguire's talk on "The Open Source ISA Metadata Tracking Framework: From Data Curation and Management at the Source, to the Linked Data Universe" at ISCB-Asia, December 17th 2012
Event: Plant and Animal Genomes conference 2012
Speaker: Michel Schneider
The UniProt Knowledgebase consists of two sections, UniProtKB/Swiss-Prot, which contains manually-annotated protein sequence enriched with functional information added by expert human curators, and UniProtKB/TrEMBL, which contains unreviewed records that are enhanced by information provided by automated rule-based annotation systems. The majority of UniProtKB records are based on automatic translation of coding sequences (CDS) provided by submitters at the time of initial deposition to the nucleotide sequence databases. In order to provide the complete proteome of Arabidopsis thaliana, a complementary curation pipeline for import of protein sequences from TAIR has been developed. As the complete genome reannotation proposed in the TAIR10 release contains most of the sequences already in UniProtKB, these existing sequences have to be reconciled with those imported. Around 7% of them have a different gene model and should be checked manually. Based on these comparisons, we improved over 200 of our predicted proteins. In exchange, we provide TAIR with the gene model corrections that we introduce on the bases of our trans-species family annotation. This approach allows identification of data that can be seamlessly transferred from one site to the other and the development of common annotations. With the significant increase in the number of complete genomes sequenced (1001 Arabidopsis cultivars are currently under way!), organization of this data in a convenient way is critical. UniProt have selected a set of “reference proteomes”, including A. thaliana cv. Columbia, which provide broad coverage of the tree of life and constitute a representative cross-section of the taxonomic diversity to be found within UniProtKB.
Bringing reason to phenotype diversity, character change, and common descentHilmar Lapp
Talk I gave in the National Center for BioOntologies (NCBO) Webinar series, on Nov 17, 2010.
Abstract, bio, and video recording are at the NCBO website:
http://www.bioontology.org/phenoscape
IRIDA's Genomic epidemiology application ontology for data standardization, integration and sharing. Presented at IMMEM XI in Estoril, Portugal, March 11 2016.
Keynote presented to KE workshop held in conjunction with the release of the report "A Surfboard for Riding the Wave
Towards a four country action programme on research data": http://www.knowledge-exchange.info/Default.aspx?ID=469
Rphenoscape: Connecting the semantics of evolutionary morphology to comparat...Hilmar Lapp
Presentation of the software package RPhenoscape for the R platform for statistical computing. The package bridges between the ecosystem of packages for comparative phylogenetics in R and the data content and computational semantics services provided by the API of the Phenoscape Knowledgebase. Presented at the 2016 Evolution Meetings in Austin, TX.
study or concern about what kinds of things exist
what entities there are in the universe.
the ontology derives from the Greek onto (being) and logia (written or spoken). It is a branch of metaphysics , the study of first principles or the root of things.
Data integration is a perennial challenge facing large-scale data scientists. Bio-ontologies are useful in this endeavour as sources of synonyms and also for rules-based fuzzy integration pipelines.
AGRF in conjunction with EMBL Australia recently organised a workshop at Monash University Clayton. This workshop was targeted at beginners and biologists who are new to analysing Next-Gen Sequencing data. The workshop also aimed to provide users with a snapshot of bioinformatics and data analysis tips on how to begin to analyse project data. An introduction to RNA-seq data analysis was presented by AGRF Senior Bioinformatician Dr. Sonika Tyagi.
Presented: 1st August 2012
Creation, curation and analysis of RNA and Protein alignments with JalviewJim Procter
Talk given at the Scottish Phylogeny Discussion Group on Feb 18th, 2013 at the James Hutton Institute in Invergowrie, Scotland, UK. It reviews the biological sequence and alignment data visualization.
Full summary and blog post at:
http://www.jalview.org/Community/Community-news/Jalview-and-2013-Google-Summer-of-Code-at-the-Scottish-Phylogeny-Discussion
IRIDA's Genomic epidemiology application ontology for data standardization, integration and sharing. Presented at IMMEM XI in Estoril, Portugal, March 11 2016.
Keynote presented to KE workshop held in conjunction with the release of the report "A Surfboard for Riding the Wave
Towards a four country action programme on research data": http://www.knowledge-exchange.info/Default.aspx?ID=469
Rphenoscape: Connecting the semantics of evolutionary morphology to comparat...Hilmar Lapp
Presentation of the software package RPhenoscape for the R platform for statistical computing. The package bridges between the ecosystem of packages for comparative phylogenetics in R and the data content and computational semantics services provided by the API of the Phenoscape Knowledgebase. Presented at the 2016 Evolution Meetings in Austin, TX.
study or concern about what kinds of things exist
what entities there are in the universe.
the ontology derives from the Greek onto (being) and logia (written or spoken). It is a branch of metaphysics , the study of first principles or the root of things.
Data integration is a perennial challenge facing large-scale data scientists. Bio-ontologies are useful in this endeavour as sources of synonyms and also for rules-based fuzzy integration pipelines.
AGRF in conjunction with EMBL Australia recently organised a workshop at Monash University Clayton. This workshop was targeted at beginners and biologists who are new to analysing Next-Gen Sequencing data. The workshop also aimed to provide users with a snapshot of bioinformatics and data analysis tips on how to begin to analyse project data. An introduction to RNA-seq data analysis was presented by AGRF Senior Bioinformatician Dr. Sonika Tyagi.
Presented: 1st August 2012
Creation, curation and analysis of RNA and Protein alignments with JalviewJim Procter
Talk given at the Scottish Phylogeny Discussion Group on Feb 18th, 2013 at the James Hutton Institute in Invergowrie, Scotland, UK. It reviews the biological sequence and alignment data visualization.
Full summary and blog post at:
http://www.jalview.org/Community/Community-news/Jalview-and-2013-Google-Summer-of-Code-at-the-Scottish-Phylogeny-Discussion
Nltk natural language toolkit overview and application @ PyCon.tw 2012Jimmy Lai
This slides introduce a python toolkit for Natural Language Processing (NLP). The author introduces several useful topics in NLTK and demonstrates with code examples.
My presentation in SDCC 2012 (http://sdcc.csdn.net/index_en.html). The video recording of this session is available at http://v.csdn.hudong.com/s/article.html?arcid=2810640
Dissecting plant genomes with the PLAZA 2.5 comparative genomics platformKlaas Vandepoele
Dissecting plant genomes with the PLAZA comparative genomics platform.
Van Bel M, Proost S, Wischnitzki E, Movahedi S, Scheerlinck C, Van de Peer Y, Vandepoele K.
Plant Physiol. 2012 Feb;158(2):590-600.
With the arrival of low-cost, next-generation sequencing, a multitude of new plant genomes are being publicly released, providing unseen opportunities and challenges for comparative genomics studies. Here, we present PLAZA 2.5, a user-friendly online research environment to explore genomic information from different plants. This new release features updates to previous genome annotations and a substantial number of newly available plant genomes as well as various new interactive tools and visualizations. Currently, PLAZA hosts 25 organisms covering a broad taxonomic range, including 13 eudicots, five monocots, one lycopod, one moss, and five algae. The available data consist of structural and functional gene annotations, homologous gene families, multiple sequence alignments, phylogenetic trees, and colinear regions within and between species. A new Integrative Orthology Viewer, combining information from different orthology prediction methodologies, was developed to efficiently investigate complex orthology relationships. Cross-species expression analysis revealed that the integration of complementary data types extended the scope of complex orthology relationships, especially between more distantly related species. Finally, based on phylogenetic profiling, we propose a set of core gene families within the green plant lineage that will be instrumental to assess the gene space of draft or newly sequenced plant genomes during the assembly or annotation phase.
Detection of genomic homology in eukaryotic genomesKlaas Vandepoele
i-ADHoRe 3.0--fast and sensitive detection of genomic homology in extremely large data sets.
Proost S, Fostier J, De Witte D, Dhoedt B, Demeester P, Van de Peer Y, Vandepoele K.
Nucleic Acids Res. 2012 Jan;40(2):e11.
Comparative genomics is a powerful means to gain insight into the evolutionary processes that shape the genomes of related species. As the number of sequenced genomes increases, the development of software to perform accurate cross-species analyses becomes indispensable. However, many implementations that have the ability to compare multiple genomes exhibit unfavorable computational and memory requirements, limiting the number of genomes that can be analyzed in one run. Here, we present a software package to unveil genomic homology based on the identification of conservation of gene content and gene order (collinearity), i-ADHoRe 3.0, and its application to eukaryotic genomes. The use of efficient algorithms and support for parallel computing enable the analysis of large-scale data sets. Unlike other tools, i-ADHoRe can process the Ensembl data set, containing 49 species, in 1 h. Furthermore, the profile search is more sensitive to detect degenerate genomic homology than chaining pairwise collinearity information based on transitive homology. From ultra-conserved collinear regions between mammals and birds, by integrating coexpression information and protein-protein interactions, we identified more than 400 regions in the human genome showing significant functional coherence. The different algorithmical improvements ensure that i-ADHoRe 3.0 will remain a powerful tool to study genome evolution.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1. Phenoscape
Knowledgebase
Jim Balhoff, Wasila Dahdul, Hilmar Lapp, Paula Mabee,
Peter Midford, Todd Vision, Monte Westerfield
2. Phenoscape
• Collaboration between P. Mabee (U. South Dakota), M.
Westerfield (ZFIN, U. Oregon), and T.Vision (NESCent,
UNC)
• Aim: foster semantic integration of phenotype data by
• Prototyping a database of curated, machine-interpretable
evolutionary phenotypes.
• Integrating these with mutant phenotypes from model
organisms.
• Providing reasoner-enabled semantic tools which facilitate
data-mining of phenotypic diversity and discovery of
candidate genes for evolutionary phenotype transitions.
4. Workflow for phenotype annotation
3. Character annotation
2. Students: by experts: Entry of
Manual entry of free text phenotypes using
character descriptions, Phenex
matrix, taxon list,
specimens and museum
numbers using Phenex
4. Phenoscape Knowledgebase:
OBD, data services, web
application
501,862
1. Students:
gather publications (scan phenotypes for
hard copies, produce
OCR PDFs) taxa
Dahdul et al., 2010 PLoS ONE Text
5. Knowledgebase architecture
Knowledgebase User Inteface External web sites
Web Application for Exploration & Mining and client
(Ruby on Rails, JavaScript) applications
Knowledgebase Data Services API (REST)
OBD Programming API
OBD Reasoner
(Java)
Teleost Taxonomy
Ontology (TTO)
Knowledgebase (OBD)
(PostgreSQL)
Phenotypic
Anatomy Quality Ontology
Ontologies (PATO)
(ZFA, TAO)
Genes & genotypes Homology assertions
Mutant EQ phenotypes Evolutionary EQ Phenotypes NeXML
OBO Library
from Zebrafish Model (through annotation)
Organism Database
Phenex Skeletal Character Data
(Evolutionary EQ (from phylogenetic
annotation) treatments in literature)
6. OBD: Ontology-Based Database
• Stores data and ontologies in combined
semantic model - triple based
• Reasoner executes inference rules as SQL
queries - results iteratively added to database
• Supports class expressions based on property
restrictions, intersections, unions; transitive
properties, property chains, and subsumption
• Provenance-tracking via reification
7. Reasoning across logical relationships
Brachyplatystoma exhibits some round that
capapretum inheres_in some
ethmoid cartilage
influences some split that
tfap2a ts213/ts213
inheres_in some
ethmoid cartilage
8. Reasoning across logical relationships
tfap2a
ethmoid
Brachyplatystoma cartilage
round
variant_of
is_a inheres_in
is_a
Brachyplatystoma exhibits some round that inheres_in split
capapretum inheres_in some
ethmoid cartilage
is_a
influences some split that
tfap2a ts213/ts213
inheres_in some
ethmoid cartilage
9. Reasoning across logical relationships
sequence-specific DNA olfactory
binding transcription
factor activity chondrocranium region
cartilage
Pimelodidae shape
has_function part_of
is_a
is_a
is_a is_a
tfap2a
ethmoid
Brachyplatystoma cartilage
round
variant_of
is_a inheres_in
is_a
Brachyplatystoma exhibits some round that inheres_in split
capapretum inheres_in some
ethmoid cartilage
is_a
influences some split that
tfap2a ts213/ts213
inheres_in some
ethmoid cartilage
11. Phenotype variation
in taxa (left) vs. zebrafish mutants (right)
cardiovascular
digestive
skeletal
is_a
is_a
is_a endocrine
sensory is_a
is_a
anatomical is_a
hematopoietic
respiratory is_a
system is_a
is_a immune
is_a
is_a
is_a is_a
liver and biliary
reproductive
renal musculature
nervous
>85% 20-30% 15-19% 10-14% 5-9% 1-4% <1%
Distributed across anatomical systems
12. Global view of skeletal data
4,-62+/0.123"
viewed, summarized,
synthesized, at a scale not
possible otherwise. =">03?:.97+9,"9@+9,"3A2,2?07"
;070.57:8+/0.123"
=">9+.2B"C73"
;5170</0.123"
=""4.97+-1"
489.9:+/0.123"
456.+7+/0.123"
*+,-.+/0.123" Image from Sabaj-Perez
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Skeletal variation across taxa and regions
14. Summary
Semantic framework and reasoning tools provide:
• Powerful queries not previously possible
for evolutionary phenotype data
• Meaningful integration with model
organism phenotypic and genetic data
15. Acknowledgments
Phenoscape Workshop Participants
National Science Foundation (BDI-0641025) & Contributors
! Arhat Abzhanov
National Evolutionary Synthesis Center !
!
Michael Ashburner
Judith Blake
! Stan Blum
! Quentin Cronk
Contributors to Teleost Ontologies Curators: ! Mário de Pinna
! Andy Deans
! Gloria Arratia Miles Coburn ! George Gkoutos
! Melissa Haendel
! Stan Blum ! Jeff Engemen ! Hopi Hoekstra
! Miles Coburn
! Kevin Conway ! Terry Grande ! Hans Hofmann
! Elizabeth Jockusch
! Wasila Dahdul ! Eric Hilton ! Elizabeth Kellogg
! Mário de Pinna
! Jeff Engemen ! John Lundberg ! Chuck Kimmel
! Suzanna Lewis
! Bill Eschmeyer ! Paula Mabee ! Anne Maglia
! Terry Grande
! Melissa Haendel ! Richard Mayden ! Austin Mast
! Brian Hall ! Chris Mungall
! Mark Sabaj ! Martin Ramirez
! Eric Hilton
! John Lundberg Sandrine Tercerie ! Sue Rhee
! Richard Mayden ! Martin Ringwald
! Mark Sabaj Pérez ! Nelson Rios
! Brian Sidlauskas ! Mark Sabaj Pérez
! Richard Vari ! Eric Segerdell
! Jacqueline Webb ! Brian Sidlauskas
! Edward Wiley ! Barry Smith
! David Stern
! Peter Vize
! Gunter Wagner
! Nicole Washington
! Edward Wiley