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Lars Juhl Jensen
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Danish Protein Science Meeting, Skt. Helene, Tisvildeleje, Denmark, November 6-7, 2008
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Recommandé
BRIC/LEO Minisymposium on Protein Kinases in Health and Disease, Copenhagen Biocenter, Copenhagen, September 26, 2008
Unraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biology
Lars Juhl Jensen
BioRange, Lunteren, Netherlands, March 17-18, 2009
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integration
Lars Juhl Jensen
Analysis of complex biological systems, Shanghai Jiao Tong University, Shanghai, China, August 19, 2009.
Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...
Lars Juhl Jensen
CPR Seminar, University of Copenhagen, Copenhagen, Denmark, February 6, 2009
Unraveling signaling networks by data integration
Unraveling signaling networks by data integration
Lars Juhl Jensen
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Lars Juhl Jensen
Centre for Molecular Biology and Neuroscience, Rikshospitalet-Radiumhospitalet, Oslo, Norway, October 25, 2006
Cross-species data integration
Cross-species data integration
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Recommandé
BRIC/LEO Minisymposium on Protein Kinases in Health and Disease, Copenhagen Biocenter, Copenhagen, September 26, 2008
Unraveling cellular phosphorylation networks using computational biology
Unraveling cellular phosphorylation networks using computational biology
Lars Juhl Jensen
BioRange, Lunteren, Netherlands, March 17-18, 2009
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integration
Lars Juhl Jensen
Analysis of complex biological systems, Shanghai Jiao Tong University, Shanghai, China, August 19, 2009.
Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...
Lars Juhl Jensen
CPR Seminar, University of Copenhagen, Copenhagen, Denmark, February 6, 2009
Unraveling signaling networks by data integration
Unraveling signaling networks by data integration
Lars Juhl Jensen
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Lars Juhl Jensen
Centre for Molecular Biology and Neuroscience, Rikshospitalet-Radiumhospitalet, Oslo, Norway, October 25, 2006
Cross-species data integration
Cross-species data integration
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text mining
Lars Juhl Jensen
One tagger, many uses - Illustrating the power of ontologies in named entity recognition
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
Lars Juhl Jensen
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Lars Juhl Jensen
SEMM, IFOM, Milan, Italy, June 15-16, 2006
Introduction to STRING
Introduction to STRING
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Data and Text Mining
Data and Text Mining
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
Lars Juhl Jensen
Network biology
Network biology
Lars Juhl Jensen
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
EMBO World Practical Course on Computational Biology, Shanghai Jiao Tong University, Shanghai, China, August 22, 2009.
Data integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRING
Lars Juhl Jensen
Journal club presentation on: Pandya, C., Brown, S., Pieper, U., Šali, A., Dunaway-Mariano, D., Babbitt, P. C., et al. (2013). Consequences of domain insertion on sequence-structure divergence in a superfold. Proceedings of the National Academy of Sciences of the United States of America, 110(36), E3381–7. doi:10.1073/pnas.1305519110
Journal Club 2013-09-10: Pandya et al
Journal Club 2013-09-10: Pandya et al
Spencer Bliven
proteomics and system biology
proteomics and system biology
proteomics and system biology
Nawfal Aldujaily
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Lars Juhl Jensen
Visick Seminar Presentation
Visick Seminar Presentation
Kailie Briza
Presentation given at EclipseCon2010 about the uses of Eclipse in Systems Biology software.
Eclipse Meets Systems Biology
Eclipse Meets Systems Biology
Richard Adams
Data standards for systems biology
Data standards for systems biology
Neil Swainston
Contenu connexe
Tendances
Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text mining
Lars Juhl Jensen
One tagger, many uses - Illustrating the power of ontologies in named entity recognition
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
Lars Juhl Jensen
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Lars Juhl Jensen
SEMM, IFOM, Milan, Italy, June 15-16, 2006
Introduction to STRING
Introduction to STRING
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Data and Text Mining
Data and Text Mining
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
Lars Juhl Jensen
Network biology
Network biology
Lars Juhl Jensen
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
EMBO World Practical Course on Computational Biology, Shanghai Jiao Tong University, Shanghai, China, August 22, 2009.
Data integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRING
Lars Juhl Jensen
Journal club presentation on: Pandya, C., Brown, S., Pieper, U., Šali, A., Dunaway-Mariano, D., Babbitt, P. C., et al. (2013). Consequences of domain insertion on sequence-structure divergence in a superfold. Proceedings of the National Academy of Sciences of the United States of America, 110(36), E3381–7. doi:10.1073/pnas.1305519110
Journal Club 2013-09-10: Pandya et al
Journal Club 2013-09-10: Pandya et al
Spencer Bliven
proteomics and system biology
proteomics and system biology
proteomics and system biology
Nawfal Aldujaily
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Lars Juhl Jensen
Visick Seminar Presentation
Visick Seminar Presentation
Kailie Briza
Tendances
(20)
Network biology: Large-scale biomedical data and text mining
Network biology: Large-scale biomedical data and text mining
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Introduction to STRING
Introduction to STRING
Networks of proteins and diseases
Networks of proteins and diseases
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Data and Text Mining
Data and Text Mining
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
Network biology
Network biology
Systems biology: Bioinformatics on complete biological system
Systems biology: Bioinformatics on complete biological system
Networks of proteins and diseases
Networks of proteins and diseases
Data integration - Integration of functional associations using STRING
Data integration - Integration of functional associations using STRING
Journal Club 2013-09-10: Pandya et al
Journal Club 2013-09-10: Pandya et al
proteomics and system biology
proteomics and system biology
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Visick Seminar Presentation
Visick Seminar Presentation
En vedette
Presentation given at EclipseCon2010 about the uses of Eclipse in Systems Biology software.
Eclipse Meets Systems Biology
Eclipse Meets Systems Biology
Richard Adams
Data standards for systems biology
Data standards for systems biology
Neil Swainston
Presentation given at Monash University on 19 August 2013.
Systems Biology Systems
Systems Biology Systems
Mike Hucka
Report on System Biology Funding from BMBF
Report on System Biology Funding from BMBF
EuroBioForum
In this talk I will overview ten years of research in the application of evolutionary computation ideas in the natural sciences. The talk will take us on a tour that will cover problems in nanoscience, e.g. controlling self-‐organizing systems, optimizing scanning probe microscopy, etc., problems arising in bioinformatics, such as predicting protein structures and their features, to challenges emerging in systems and synthetic biology. Although the algorithmic solutions involved in these problems are different from each other, at their core, they retain Darwin’s wonderful insights. I will conclude the talk by giving a personal view on why EC has been so successful and where, in my mind, the future lies.
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
Natalio Krasnogor
Talk at SCITA-BIOFANS (02 Feb 2016), entitled "Systems Biology and Genomics of Microbial Pathogens: From virulence gene discovery to vaccine development and therapeutic intervention"
Systems Biology and Genomics of Microbial Pathogens
Systems Biology and Genomics of Microbial Pathogens
Ramy K. Aziz
Presentation given at the Sydney Computational Biologists meetup on 21 August 2013 (http://australianbioinformatics.net/past-events/2013/8/21/computational-approaches-to-systems-biology.html).
Computational Approaches to Systems Biology
Computational Approaches to Systems Biology
Mike Hucka
Dr. Leroy Hood lectured to a group of Ohio State University College of Medicine students and faculty on May 13, 2010 in advance of an announcement of a partnership between the Ohio State University Medical Center and the Institute for Systems Biology. The partnership will be known as
Dr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 Medicine
The Ohio State University Wexner Medical Center
Formal representation of models in systems biology
Formal representation of models in systems biology
Michel Dumontier
En vedette
(9)
Eclipse Meets Systems Biology
Eclipse Meets Systems Biology
Data standards for systems biology
Data standards for systems biology
Systems Biology Systems
Systems Biology Systems
Report on System Biology Funding from BMBF
Report on System Biology Funding from BMBF
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
Darwin’s Magic: Evolutionary Computation in Nanoscience, Bioinformatics and S...
Systems Biology and Genomics of Microbial Pathogens
Systems Biology and Genomics of Microbial Pathogens
Computational Approaches to Systems Biology
Computational Approaches to Systems Biology
Dr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 Medicine
Formal representation of models in systems biology
Formal representation of models in systems biology
Similaire à Data Integration and Systems Biology
9th Course in Bioinformatics for Molecular Biologist, Bertinoro, Italy, March 22-26, 2009
Integration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
Minisymposium on Glycoanalysis and Glycochemistry, University of Copenhagen, Copenhagen, Denmark, October 26, 2009.
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integration
Lars Juhl Jensen
Advances in Bioinformatics, Heidelberg, Germany, March 6-8, 2009
A linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signaling
Lars Juhl Jensen
Medical Research Methodology in Translational Medicine, University of Copenhagen, Copenhagen, August 24, 2010.
Computational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioning
Lars Juhl Jensen
Orbitrap User Meeting, University of Southern Denmark, Odense, Denmark, December 2, 2009.
From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networks
Lars Juhl Jensen
Network biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data mining
Lars Juhl Jensen
Network biology
Network biology
Lars Juhl Jensen
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Lars Juhl Jensen
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Lars Juhl Jensen
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Lars Juhl Jensen
Cellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous data
Lars Juhl Jensen
Making gene networks through data integration
Making gene networks through data integration
Lars Juhl Jensen
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Lars Juhl Jensen
Exploring Modular Protein Architecture, European Molecular Biology Laboratory, Heidelberg, Germany, December 3-5, 2008
Data integration and functional association networks
Data integration and functional association networks
Lars Juhl Jensen
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data mining
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
Lars Juhl Jensen
NNF Center for Protein Research Target Workshop, Sophienberg Slot, Rungsted, Denmark, January 15--16, 2009
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integration
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Protein interaction networks
Protein interaction networks
Lars Juhl Jensen
Similaire à Data Integration and Systems Biology
(20)
Integration of heterogeneous data
Integration of heterogeneous data
Unraveling signal transduction networks through data integration
Unraveling signal transduction networks through data integration
A linear motif atlas for phosphorylation-dependent signaling
A linear motif atlas for phosphorylation-dependent signaling
Computational Biology - Signaling networks and drug repositioning
Computational Biology - Signaling networks and drug repositioning
From phosphoproteomics to signaling networks
From phosphoproteomics to signaling networks
Network biology - A basis for large-scale biomedica data mining
Network biology - A basis for large-scale biomedica data mining
Network biology
Network biology
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Network biology: A basis for large-scale biomedical data mining
Cellular network biology: Proteome-wide analysis of heterogeneous data
Cellular network biology: Proteome-wide analysis of heterogeneous data
Making gene networks through data integration
Making gene networks through data integration
Systems biology - Understanding biology at the systems level
Systems biology - Understanding biology at the systems level
Data integration and functional association networks
Data integration and functional association networks
Systems biology: Large-scale biomedical data mining
Systems biology: Large-scale biomedical data mining
Networks of proteins and diseases
Networks of proteins and diseases
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
Unraveling signaling networks by large-scale data integration
Unraveling signaling networks by large-scale data integration
Large-scale integration of data and text
Large-scale integration of data and text
Protein interaction networks
Protein interaction networks
Plus de Lars Juhl Jensen
One tagger, many uses: Illustrating the power of dictionary-based named entity recognition
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
Lars Juhl Jensen
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
Lars Juhl Jensen
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Lars Juhl Jensen
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
Lars Juhl Jensen
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Lars Juhl Jensen
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Lars Juhl Jensen
Medical network analysis: Linking diseases and genes through data and text mining
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
Lars Juhl Jensen
Cellular networks
Cellular networks
Cellular networks
Lars Juhl Jensen
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Statistics on big biomedical data: Methods and pitfalls when analyzing high-throughput screens
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Lars Juhl Jensen
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Lars Juhl Jensen
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Lars Juhl Jensen
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Cellular Network Biology
Cellular Network Biology
Cellular Network Biology
Lars Juhl Jensen
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Lars Juhl Jensen
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Lars Juhl Jensen
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
Lars Juhl Jensen
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Lars Juhl Jensen
Plus de Lars Juhl Jensen
(20)
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
Cellular networks
Cellular networks
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Cellular Network Biology
Cellular Network Biology
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Dernier
Partner Tech Talk with Tinybird
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
confluent
The presentation underscores the strategic advantage of treating design systems not just as technical assets but as vital business components that require thoughtful management, robust planning, and strategic alignment with organizational goals. Key Points Covered: - Understanding Design Systems as Business Entities: Conceptualizing design systems as internal business entities can streamline their integration and evolution within a company. - Adoption and Expansion: Elaborating on the importance of tactical adoption across organizational structures, enhancing product suites to cater to user needs and broadening scope to mobile and content authoring solutions. - Data-Driven Development: Utilizing data insights for component development ensures that resources are allocated to create valuable, widely used features. - Financial Modeling for Design Systems: Developing sustainable funding models is crucial for long-term support and success of design systems. - Promoting Internal Buy-In: Stressing on strategies for promoting design systems within the organization to increase engagement and investment from internal stakeholders.
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
UXDXConf
New customer? New industry? New cloud? New team? A lot to handle! How to ensure the success of the project? Start it well! I've created the 3 areas of focus at the beginning of the project that helped me in multiple roles (BA, PO, and Consultant). Learn from real-world experiences and discover how these insights can empower you to deliver unparalleled value to your customers right from the project's start.
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
CzechDreamin
Designing inclusive products is not only a social responsibility but also a business imperative. This talk delves into the journey of creating accessible hardware products that cater to diverse user needs. Key Topics Covered: 1. Introduction to Inclusive Design - Importance of accessibility in product design - Overview of Comcast's commitment to making products accessible to a wide audience 2. Case Study: Xfinity Large Button Voice Remote - Initial challenges and the evolution of the product - User research and feedback that shaped the design - Key features of the final product and their benefits 3. Designing for Diverse Needs - Understanding human-centered design and its historical context - The impact of designing for people with disabilities on overall product quality - Examples from other industries, such as architecture and industrial design 4. Integrating Accessibility from the Beginning - The cost and efficiency benefits of designing for accessibility from the start - The process of embedding accessibility as a core trait rather than an optional feature 5. Real-World Impact and Continuous Improvement - Insights from in-home studies with users having assistive needs - How continuous feedback and iterative design lead to better products - The role of inclusive research and development practices
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
UXDXConf
Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations. We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures. Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
Srushith Repakula
This presentation focuses on the challenges and strategies of connecting problem definitions within product development. Key Points Covered: - Kayak's mission since its inception in 2004 to simplify travel by enabling easy comparisons of flights through technological solutions. - Discussion of the complexities within the travel industry, including the high expectations for personalized user experiences and the various stakeholder influences. - Emphasis on the necessity of maintaining agility and innovation within a mature company through continuous reassessment of processes. - An explanation of the importance of disciplined problem definition to prevent project failures and team inefficiencies. - Introduction of strategies for effective communication across teams to ensure alignment and comprehension at all levels of project development. - Exploration of various problem-solving methodologies, including how to handle conflicts within team settings regarding problem definitions and project directions.
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
UXDXConf
Learn about the basics of OAuth 2.0 and the different OAuth flows in this introductory video. Understand how OAuth works and the various authorization mechanisms involved.
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
shyamraj55
Brief Introduction to Generative AI and LLM in particular. Overview of the market, and usages of LLMs. What's it like to train and build a model. Retrieval Augmented Generation 101, explained for non savvies, and a perspective of what are the moving parts making it complex
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
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Data Integration and Systems Biology
1.
Lars Juhl Jensen
Data Integration and Systems Biology
2.
Lars Juhl Jensen
Data Integration and Systems Biology
3.
what went wrong?
4.
a good problem
5.
a good idea
6.
cell-cycle regulation
7.
microarray data
8.
interaction network
9.
de Lichtenberg, Jensen,
et al., Science , 2005
10.
new uses for
old drugs
11.
chemical similarity
12.
side effects
13.
14.
15.
16.
the problem
17.
phosphorylation networks
18.
mass spectrometry
19.
Linding, Jensen, Ostheimer
et al., Cell , 2007
20.
phosphorylation sites
21.
in vivo
22.
kinases are unknown
23.
peptide assays
24.
Miller, Jensen et
al., Science Signaling , 2008
25.
sequence specificity
26.
kinase-specific
27.
in vitro
28.
no context
29.
what a kinase
could do
30.
not what it
actually does
31.
computational methods
32.
sequence specificity
33.
Miller, Jensen et
al., Science Signaling , 2008
34.
kinase-specific
35.
no context
36.
what a kinase
could do
37.
not what it
actually does
38.
in vitro
39.
in vivo
40.
context
41.
co-activators
42.
scaffolders
43.
expression
44.
association networks
45.
Linding, Jensen, Ostheimer
et al., Cell , 2007
46.
the idea
47.
mass spectrometry
48.
phosphorylation sites
49.
sequence motifs
50.
sequence specificity
51.
association network
52.
context
53.
in vitro
54.
in vivo
55.
Linding, Jensen, Ostheimer
et al., Cell , 2007
56.
the sequence motifs
57.
NetPhorest
58.
Miller, Jensen et
al., Science Signaling , 2008
59.
pipeline
60.
data organization
61.
Miller, Jensen et
al., Science Signaling , 2008
62.
compilation of datasets
63.
Miller, Jensen et
al., Science Signaling , 2008
64.
redundancy reduction
65.
Miller, Jensen et
al., Science Signaling , 2008
66.
cross-validation partitioning
67.
Miller, Jensen et
al., Science Signaling , 2008
68.
training and evaluation
69.
classifier selection
70.
Miller, Jensen et
al., Science Signaling , 2008
71.
motif atlas
72.
73.
179 kinases
74.
93 SH2 domains
75.
8 PTB domains
76.
BRCT domains
77.
WW domains
78.
14-3-3 proteins
79.
benchmarking
80.
Miller, Jensen et
al., Science Signaling , 2008
81.
low-specificity kinases
82.
disease-related kinases
83.
Miller, Jensen et
al., Science Signaling , 2008
84.
docking domains
85.
Miller, Jensen et
al., Science Signaling , 2008
86.
the context network
87.
STRING
88.
functional associations
89.
373 genomes
90.
Jensen et al.,
Nucleic Acids Research , 2008
91.
genomic context methods
92.
gene fusion
93.
Korbel et al.,
Nature Biotechnology , 2004
94.
conserved neighborhood
95.
Korbel et al.,
Nature Biotechnology , 2004
96.
phylogenetic profiles
97.
Korbel et al.,
Nature Biotechnology , 2004
98.
primary experimental data
99.
protein interactions
100.
Jensen & Bork,
Science , 2008
101.
gene coexpression
102.
103.
literature mining
104.
105.
curated knowledge
106.
Letunic & Bork,
Trends in Biochemical Sciences , 2008
107.
different formats
108.
parsers
109.
different gene identifiers
110.
thesaurus
111.
redundancy
112.
bookkeeping
113.
variable reliability
114.
benchmarking
115.
von Mering et
al., Nucleic Acids Research , 2005
116.
spread over many
species
117.
transfer by orthology
118.
von Mering et
al., Nucleic Acids Research , 2005
119.
combine all evidence
120.
Linding, Jensen, Ostheimer
et al., Cell , 2007
121.
the results
122.
NetworKIN
123.
123 kinases
124.
5515 substrates
125.
21,702 sites
126.
benchmarking
127.
Phospho.ELM
128.
Linding, Jensen, Ostheimer
et al., Cell , 2007
129.
2.5-fold better accuracy
130.
context is crucial
131.
ATM signaling
132.
Linding, Jensen, Ostheimer
et al., Cell , 2007
133.
Linding, Jensen, Ostheimer
et al., Cell , 2007
134.
small-scale validation
135.
ATM phosphorylates Rad50
136.
Linding, Jensen, Ostheimer
et al., Cell , 2007
137.
high-throughput validation
138.
multiple reaction monitoring
139.
Linding, Jensen, Ostheimer
et al., Cell , 2007
140.
systematic validation
141.
kinase inhibitor matrix
142.
Fedorov et al.,
PNAS , 2007
143.
design optimal experiments
144.
145.
http://larsjuhljensen.wordpress.com
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