WHAT IS DNA SEQUENCER ?
DNA SEQUENCING.
HISTORY
MANUFACTURERES OF DNA SEQUENCER.
OTHER APPLICATIONS
CONCLUSION
REFERENCES
The order of the DNA bases is reported as a text string, called a read. Some DNA sequencers can be also considered optical instruments as they analyze light signals originating from fluorochromes attached to nucleotides.
WHAT IS DNA SEQUENCER ?
DNA SEQUENCING.
HISTORY
MANUFACTURERES OF DNA SEQUENCER.
OTHER APPLICATIONS
CONCLUSION
REFERENCES
The order of the DNA bases is reported as a text string, called a read. Some DNA sequencers can be also considered optical instruments as they analyze light signals originating from fluorochromes attached to nucleotides.
The new EBI search engine: EB-eye
Backend : An overview of what is under the hood.
These slides contain animations. Please use Impress or PowerPoint to visualise them.
The NCBI Boot Camp for Beginners was designed to offer an overview of the NCBI suite of resources. In the first half of the presentation, highlighted databases were covered in four main categories: literature, sequences, genes & genomes and expression & structure. The second half of the class used the apolipoprotein A as a query that was explored through many of the NCBI databases, from identifying the reference sequences to a structural analysis of the Cys130Arg variant.
NCBI has developed a powerful suite of online biomedical and bioinformatics resources, including old friends like PubMed and OMIM and newer resources such as Genome. This collection of databases and tools are widely used by scientists and medical professionals across the world. With such a wealth of information, it is easy to get overwhelmed. Join us for an overview to NCBI resources for the information professional with an emphasis on biodata connectivity. No science degree required!
ICAR 2015
Workshop 10 (TUESDAY, JULY 7, 2015, 4:30-6:00 PM)
The Arabidopsis information portal for users and developers
Nick Provart (University of Toronto)
A Community Collaborator Perspective: Case study 1 - BioAnalytic Resource
The new EBI search engine: EB-eye
Backend : An overview of what is under the hood.
These slides contain animations. Please use Impress or PowerPoint to visualise them.
The NCBI Boot Camp for Beginners was designed to offer an overview of the NCBI suite of resources. In the first half of the presentation, highlighted databases were covered in four main categories: literature, sequences, genes & genomes and expression & structure. The second half of the class used the apolipoprotein A as a query that was explored through many of the NCBI databases, from identifying the reference sequences to a structural analysis of the Cys130Arg variant.
NCBI has developed a powerful suite of online biomedical and bioinformatics resources, including old friends like PubMed and OMIM and newer resources such as Genome. This collection of databases and tools are widely used by scientists and medical professionals across the world. With such a wealth of information, it is easy to get overwhelmed. Join us for an overview to NCBI resources for the information professional with an emphasis on biodata connectivity. No science degree required!
ICAR 2015
Workshop 10 (TUESDAY, JULY 7, 2015, 4:30-6:00 PM)
The Arabidopsis information portal for users and developers
Nick Provart (University of Toronto)
A Community Collaborator Perspective: Case study 1 - BioAnalytic Resource
Presented in the "New and Updated Bioinformatics Datasets, Tools and Resources" at the 28th International Conference on Arabidopsis Research (ICAR 2017) held in St. Louis, MO.
Thursday, June 22nd, 2017
Similar to Linked Data for integrating life-science databases (20)
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
11. UniProt
Name Description Source File size #triples
uniprot Protein annotation data UniProt consortium 14G 3.3 B
uniref Clusters of proteins with similar sequences UniProt consortium 7G 900M
uniparc Non-redundant archive of UniProt sequences UniProt consortium 65G 1B
citations Literature citations UniProt consortium 1355M 10,177,308
taxonomy Classification of organisms UniProt consortium 421M 5,041,437
journals Journals UniProt consortium 3M 34,850
pathways Pathways UniProt consortium 1000K 8,865
keywords Keywords UniProt consortium 940K 8,449
locations Subcellular locations UniProt consortium 468K 4,476
tissues TIssues UniProt consortium 572K 7439
components Cellular components (Organelles) UniProt consortium 6K 43
go Gene onotology SBI 25M 263,944
enzymes Classification of enzymes GO consortium 4M 4,476
core.owl Classes and properties for UniProt RDF UniProt consortium 152K
12. #triples
Sesame Java 70 M
4store C 15 B
5store C
Virtuoso C 15.4 B
Jena Java 1.7 B
Bigdata Java 12.7 B
ARC PHP
AllegroGraph Lisp 1B
http://esw.w3.org/LargeTripleStores
13. Protein UniProt
Components encodedIn
core.owl
<owl:ObjectProperty rdf:about="encodedIn">
<rdfs:label rdf:datatype="&xsd;string">encoded in</rdfs:label>
<rdfs:comment rdf:datatype="&xsd;string"
>The subcellular location where a protein is encoded.</rdfs:comment>
<rdfs:domain rdf:resource="Protein"/>
<rdfs:range rdf:resource="Subcellular_Location"/>
</owl:ObjectProperty>
14. RDF purl
http://purl.uniprot.org/{database}/{identifier}
UniProt
http://purl.uniprot.org/core/
Gene URI
http://purl.uniprot.org/core/Gene
type
