The swings and roundabouts of a decade of fun and games with Research Objects Carole Goble
Research Objects and their instantiation as RO-Crate: motivation, explanation, examples, history and lessons, and opportunities for scholarly communications, delivered virtually to 17th Italian Research Conference on Digital Libraries
Step by step tutorial for conducting GO enrichment analysis and then creating a network from the results.
Material from the UC Davis 2014 Proteomics Workshop.
See more at: http://sourceforge.net/projects/teachingdemos/files/2014%20UC%20Davis%20Proteomics%20Workshop/
The Functional and Pathway Analysis talk given in March 2010 at the CRUK CRI. Cambridge UK.
It was designed to introduce wet-lab researchers to using web-based tools for doing functional analysis of gene lists, such as from microarray experiments.
The swings and roundabouts of a decade of fun and games with Research Objects Carole Goble
Research Objects and their instantiation as RO-Crate: motivation, explanation, examples, history and lessons, and opportunities for scholarly communications, delivered virtually to 17th Italian Research Conference on Digital Libraries
Step by step tutorial for conducting GO enrichment analysis and then creating a network from the results.
Material from the UC Davis 2014 Proteomics Workshop.
See more at: http://sourceforge.net/projects/teachingdemos/files/2014%20UC%20Davis%20Proteomics%20Workshop/
The Functional and Pathway Analysis talk given in March 2010 at the CRUK CRI. Cambridge UK.
It was designed to introduce wet-lab researchers to using web-based tools for doing functional analysis of gene lists, such as from microarray experiments.
German Conference on Bioinformatics 2021
https://gcb2021.de/
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
Scientific Workflows: what do we have, what do we miss?Paolo Romano
Presentation given on June 22, 2013, in Nice, at the CIBB 2013 International Workshop.
In collaboration with Paolo Missier, University of Newcastle upon Tyne, UK
BioCatalogue talk by Carole Goble. She outlines in these slides the reasons behind the BioCatalogue project. And present the BioCatalogue and its goals.
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
Monitoring as an entry point for collaborationJulien Pivotto
In the last years, we have been building complex stacks, made from lots of components. All of this backed by multiple teams. This talk will present how you can use monitoring to look at the business side and have everyone looking at the same dashboards, making cooperation a reality.
BioThings API: Promoting Best-practices via a Biomedical API Development Ecos...Chunlei Wu
Overview of BioThings project (https://biothings.io) with the highlight of BioThings Studio tool, a web development environment for building Biomedical APIs
presented at WORKS 2021
https://works-workshop.org/
16th Workshop on Workflows in Support of Large-Scale Science
November 15, 2021
Held in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis
Integration Patterns for Big Data ApplicationsMichael Häusler
Big Data technologies like distributed databases, queues, batch processors, and stream processors are fun and exciting to play with. Making them play nicely together can be challenging. Keeping it fun for engineers to continuously improve and operate them is hard. At ResearchGate, we run thousands of YARN applications every day to gain insights and to power user facing features. Of course, there are numerous integration challenges on the way:
* integrating batch and stream processors with operational systems
* ingesting data and playing back results while controlling performance crosstalk
* rolling out new versions of synchronous, stream, and batch applications and their respective data schemas
* controlling the amount of glue and adapter code between different technologies
* modeling cross-flow dependencies while handling failures gracefully and limiting their repercussions
We describe our ongoing journey in identifying patterns and principles to make our big data stack integrate well. Technologies to be covered will include MongoDB, Kafka, Hadoop (YARN), Hive (TEZ), Flink Batch, and Flink Streaming.
Building Event-Driven (Micro)Services with Apache KafkaGuido Schmutz
Should we use traditional REST APIs to bind services together? Or is it better to use a more loosely-coupled protocol? This talk will dive into how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which.
Marios Chatziangelou presents the EGI applications database | OSFair2017 Workshop
Workshop overview:
This collaborative workshop comes in the context of coordinating EOSC related activities across large European infrastructures at European and national level. The workshop will offer an opportunity for cross-pollination on issues ranging from open scholarship to technical service provision, training, community engagement and support. OpenAIRE NOADs, EGI NGIs, GEANT NRENs and other national e-Infrastructure representatives will discuss gaps, synergies, coordination and service integration opportunities.
DAY 3 - PARALLEL SESSION 6 & 7
German Conference on Bioinformatics 2021
https://gcb2021.de/
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
Scientific Workflows: what do we have, what do we miss?Paolo Romano
Presentation given on June 22, 2013, in Nice, at the CIBB 2013 International Workshop.
In collaboration with Paolo Missier, University of Newcastle upon Tyne, UK
BioCatalogue talk by Carole Goble. She outlines in these slides the reasons behind the BioCatalogue project. And present the BioCatalogue and its goals.
FAIR Computational Workflows
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and the desire for more reproducible (or at least transparent) and quality assured processing methods. The SARS-CoV-2 pandemic has significantly highlighted the value of workflows.
This increased interest in workflows has been matched by the number of workflow management systems available to scientists (Galaxy, Snakemake, Nextflow and 270+ more) and the number of workflow services like registries and monitors. There is also recognition that workflows are first class, publishable Research Objects just as data are. They deserve their own FAIR (Findable, Accessible, Interoperable, Reusable) principles and services that cater for their dual roles as explicit method description and software method execution [1]. To promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become FAIR+R(eproducible), and citable so that author’s credit is attributed fairly and accurately.
The work on improving the FAIRness of workflows has already started and a whole ecosystem of tools, guidelines and best practices has been under development to reduce the time needed to adapt, reuse and extend existing scientific workflows. An example is the EOSC-Life Cluster of 13 European Biomedical Research Infrastructures which is developing a FAIR Workflow Collaboratory based on the ELIXIR Research Infrastructure for Life Science Data Tools ecosystem. While there are many tools for addressing different aspects of FAIR workflows, many challenges remain for describing, annotating, and exposing scientific workflows so that they can be found, understood and reused by other scientists.
This keynote will explore the FAIR principles for computational workflows in the Life Science using the EOSC-Life Workflow Collaboratory as an example.
[1] Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes,Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, and Daniel Schober FAIR Computational Workflows Data Intelligence 2020 2:1-2, 108-121 https://doi.org/10.1162/dint_a_00033.
Monitoring as an entry point for collaborationJulien Pivotto
In the last years, we have been building complex stacks, made from lots of components. All of this backed by multiple teams. This talk will present how you can use monitoring to look at the business side and have everyone looking at the same dashboards, making cooperation a reality.
BioThings API: Promoting Best-practices via a Biomedical API Development Ecos...Chunlei Wu
Overview of BioThings project (https://biothings.io) with the highlight of BioThings Studio tool, a web development environment for building Biomedical APIs
presented at WORKS 2021
https://works-workshop.org/
16th Workshop on Workflows in Support of Large-Scale Science
November 15, 2021
Held in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis
Integration Patterns for Big Data ApplicationsMichael Häusler
Big Data technologies like distributed databases, queues, batch processors, and stream processors are fun and exciting to play with. Making them play nicely together can be challenging. Keeping it fun for engineers to continuously improve and operate them is hard. At ResearchGate, we run thousands of YARN applications every day to gain insights and to power user facing features. Of course, there are numerous integration challenges on the way:
* integrating batch and stream processors with operational systems
* ingesting data and playing back results while controlling performance crosstalk
* rolling out new versions of synchronous, stream, and batch applications and their respective data schemas
* controlling the amount of glue and adapter code between different technologies
* modeling cross-flow dependencies while handling failures gracefully and limiting their repercussions
We describe our ongoing journey in identifying patterns and principles to make our big data stack integrate well. Technologies to be covered will include MongoDB, Kafka, Hadoop (YARN), Hive (TEZ), Flink Batch, and Flink Streaming.
Building Event-Driven (Micro)Services with Apache KafkaGuido Schmutz
Should we use traditional REST APIs to bind services together? Or is it better to use a more loosely-coupled protocol? This talk will dive into how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which.
Marios Chatziangelou presents the EGI applications database | OSFair2017 Workshop
Workshop overview:
This collaborative workshop comes in the context of coordinating EOSC related activities across large European infrastructures at European and national level. The workshop will offer an opportunity for cross-pollination on issues ranging from open scholarship to technical service provision, training, community engagement and support. OpenAIRE NOADs, EGI NGIs, GEANT NRENs and other national e-Infrastructure representatives will discuss gaps, synergies, coordination and service integration opportunities.
DAY 3 - PARALLEL SESSION 6 & 7
Sustaining research software at the Apache Software Foundation
Presented at BOSC 2015, Dublin on 2015-07-11. http://www.open-bio.org/wiki/BOSC_2015
Source: http://slides.com/soilandreyes/20150611-bosc2015-apache
Presented 2014-10-30 at Taverna Open Development Workshop in Manchester http://dev.mygrid.org.uk/wiki/display/developer/Taverna+Open+Development+Workshop
Also available at http://slides.com/soilandreyes/2014-10-31-taverna-3-architecture#/
2014-10-30 Taverna 3 status
Presented at Taverna Open Development Workshop 2014 in Manchester.
http://dev.mygrid.org.uk/wiki/display/developer/Taverna+Open+Development+Workshop#TavernaOpenDevelopmentWorkshop-Day1-Thursday2014-10-30
Taverna is becoming an Apache Incubator project. What are the effects on Taverna as an open source project and its future development?
HTML version: http://slides.com/soilandreyes/2014-10-30-taverna-incubator/
Wiki version: http://dev.mygrid.org.uk/wiki/display/developer/Taverna+as+an+Apache+Incubator+project
Presented 2014-10-30 at Taverna Open Development Workshop http://dev.mygrid.org.uk/wiki/display/developer/Taverna+Open+Development+Workshop
OMEX Combine Archives as example of Research Object in the wild - how converting it to RO Bundles using http://dx.doi.org/10.5281/zenodo.10439
Source pptx:
https://onedrive.live.com/view.aspx?cid=37935FEEE4DF1087&resid=37935FEEE4DF1087!788&app=PowerPoint%20f
2013-07-19 myExperiment research objects, beyond workflows and packs (PPTX)Stian Soiland-Reyes
Presentation at BOSC 2013 / ISMB 2013. (PowerPoint 2013 source)
PDF: https://www.slideshare.net/soilandreyes/2013-0719bosc-2013myexperimentresearchobjectsslides
See also poster at http://www.slideshare.net/soilandreyes/2013-0718bosc-2013myexperimentresearchobjectsposter-24242509 or
submitted abstract: https://docs.google.com/document/d/1jaAuPV-EnbsyI14L56HKHBQP7eDVfeXGLlK-LwohnWw/edit?usp=sharing
We have evolved Research Objects as a mechanism to preserve digital resources related to research, by providing mechanisms, formats and architecture for describing aggregated resources (hypothesis, workflow, datasets, scripts, services), their relations (is input for, explains, used by), provenance (graph was derived from dataset A, B and C) and attribution (who contributed what, and when?).
The website myExperiment is already popular for collaborating on, publishing and sharing scientific workflows, however we have found that for understanding and preserving a workflow over time, its definition is not enough, specially faced with workflow decay, services and tools that change over time. We have therefore adapted the research object model as a foundation for the myExperiment packs, allowing uploading of workflow runs, inputs, outputs and other files relevant to the workflow, relating them with annotations and integrated the Wf4Ever architecture for performing decay analysis and tracking a research object’s evolution as it and its constituent resources change over time.
Open Annotation Rollout, Manchester, 2013-06-25
See also PPTX version with Notes: http://www.slideshare.net/soilandreyes/2013-0624annotatingr-osopenannotationmeeting
Open Annotation Rollout, Manchester, 2013-06-25
See also PDF version: http://www.slideshare.net/soilandreyes/2013-0624annotatingr-osopenannotationmeeting-23289491
Slide deck presenting the Provenance support of Taverna workflow system, detailing architecture, ontologies and how results are exported as Research Object bundles, including the PROV-O provenance of the workflow run.
This upload is the PDF version, for PPTX source, see https://www.slideshare.net/soilandreyes/20130529-taverna-provenance-pptx-source/
At "Metagenomics, metagenetics and Pylogenetic workflows for Ocean Sampling Day" Workshop
Max Planck Institute for Marine Microbiology, Bremen, Germany 2013-03-21
For PPTX source - download http://www.wf4ever-project.org/wiki/download/attachments/2064544/2013-03-21-OSD-Bremen-Stian-What+can+provenance+do+for+me.pptx
2012 03-28 Wf4ever, preserving workflows as digital research objectsStian Soiland-Reyes
Presented on 2012-03-28 at EGI Community Forum 2012, Munich.
http://www.wf4ever-project.org/
http://purl.org/wf4ever/model
http://cf2012.egi.eu/
https://www.egi.eu/indico/sessionDisplay.py?sessionId=66&confId=679#20120328
2011 07-06 SCUFL2 Poster - because a workflow is more than its definition (BO...Stian Soiland-Reyes
See presentation at http://www.slideshare.net/soilandreyes/2011-0716-scufl2-because-a-workflow-is-more-than-its-definition-bosc-2011
From BOSC 2011 - http://www.open-bio.org/wiki/BOSC_2011_Schedule
Presentation of Taverna from UKOLN DevSci "Workflow Tools" event in Bath, 2010-11-30
PDF version: http://www.slideshare.net/soilandreyes/taverna-workflow-management-system-2010-1130-bath-workflow-tools
http://taverna.org.uk/
http://www.ukoln.ac.uk/events/devcsi/workflow_tools/programme/index.html
http://devcsi.ukoln.ac.uk/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Taverna workflow management system (2010 11-30 Bath Workflow Tools)
1. Stian Soiland-Reyes
myGrid, School of Computer Science
University of Manchester, UK
UKOLN DevSci: Workflow Tools
Bath, 2010-11-30Gridmy
http://taverna.org.uk/
2. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
What is myGrid?
An e-Science Collaboration Since 2001
Not a grid!
Numerous partners involved:
University of Manchester
University of Southampton
University of Oxford
EMBL-EBI
Provides sustainable and production quality software
Supported by OMII-UK, EPSRC and BBSRC
Mixture of developers, bioinformaticians and
researchers
Software | Services | Content | Skills | Community
6. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Manual: disadvantages
• Scale of analysis task overwhelms researchers
– lots of data
• User bias and premature filtering of datasets –
cherry picking
• Hypothesis-Driven approach to data analysis
• Constant changes in data - problems with re-
analysis of data
• Implicit methodologies (hyper-linking through
web pages)
• Error proliferation from any of the listed issues
– notably human error
7. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Web services and workflows
Web services
Technology and standards for exposing code and
data resources that can be programmatically
consumed by a remote third party
Description on how to interact with the service,
parameters, documentation
Workflows
General technique for describing and executing a
process
Describe what you want to do running which
services
8. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Taverna workflows
A set of (local and remote)
services to analyze or manage
data
Nested workflows are also
services
Data-links connects services
i.e. output from service A is input to
service B and C
Describes the desired dataflow
instead of process coordination
Automatic iterations
Can customize list handling and
control links
Get_pathways
Workflow Inputs
Workflow Outputs
Workflow Inputs
Workflow Outputs
remove_uniprot_duplicates
merge_uniprot_ids
species
getcurrentdatabase
kegg_pathway_release
binfo
regex_2
split_for_duplicates
split_for_duplicate_pathways
remove_duplicate_kegg_genes
merge_genes_and_pathways_3
flatten_pathway_files
merged_pathways
merge_genes_and_pathways
merge_genes_and_pathways_2
merge_kegg_references
kegg_external_gene_reference
remove_pathway_duplicates
merge_pathway_desc
merge_pathway_list_1
merge_pathway_list_2
remove_duplicate_ids
merge_patwhay_ids
pathway_descriptions
merge_reports
report
merge_gene_desc
remove_nulls_3
gene_descriptions
gene_ids
REMOVE_NULLS_2
remove_entrez_duplicates
merge_entrez_genes
remove_pathway_nulls
remove_Nulls
concat_kegg_genes
split_gene_ids
remove_pathway_nulls_2
add_uniprot_to_string
gene_descriptions pathway_descriptions
add_ncbi_to_string
Kegg_gene_ids_2
pathway_ids
Kegg_gene_ids
genes_in_qtl
mmusculus_gene_ensembl
create_report
ensembl_database_releasegenes_pathways kegg_pathway_release
Merge_pathways
concat_ids
pathway_ids
regex
split_by_regex
lister
Merge_gene_pathways
pathway_genes
concat_gene_pathway_ids
get_pathways_by_genes1
chromosome_namestart_position end_position
9. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
What types of services?
Public/private/secured WSDL/SOAP web services
RESTful web services
Spreadsheet import
Command line tools (local/ssh)
Inline scripts (Beanshell, R)
Java APIs
Customizations:
BioMart, BioMoby / SADI
Soaplab
Grid services (Globus, EGEE gLite, caGrid)
… your tool (Plugin tutorial on wiki)
10. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Which services?
Taverna is general, can connect to standard
web services for any domain
Bioinformatics:
From professional third-party organisations
providing robust & open data/analysis services
..to under-the-desk web services for one particular
purpose, ran by PhD students
http://biocatalogue.org/ - 1730 services from 130
providers – crowd sourced and quality monitored
17. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Extensible UI and engine
Plugins can provide new “perspectives”
i.e.: BioCatalogue, myExperiment
Provide service-specific customization
BioMart interface replicates web site
Adding new functionality
Looping, branching, dynamic service resolution
New service types
Design helpers, “Find matching service”
18. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Taverna 3 “Next-gen”
Under development for 2011
Interactive, component-centric and data-centric
workflow design
Pre-packaged workflow components
Searching for workflow components from
BioCatalogue and myExperiment
New myGrid workflow components library
24. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Taverna on the cloud
Use-case:
SNP analysis and annotation of
genome sequenced from
breeds of cows in Africa – why are
some of them resistent to X?
Amazon EC2 with Taverna Server and local
services
Custom (built-in-a-week) Ruby on Rails web
interface
Runs through 31 chromosomes in 6.5 hours
using 10 instances - $26
26. Gridmy
http://taverna.org.uk/http://mygrid.org.uk/
Open source, open development
Taverna suite of tools are all open source
and free to use
Large user community, active mailing lists
Lead developers: myGrid in Manchester
Contributors from across the world
PAL programme
myGrid provides training, tutorials and
documentation