The Phenotypes and Models Portal at the Rat Genome Database provides access to physiological data and information about disease models in rats. The portal combines existing rat data with new physiological data and has four branches: 1) phenotype data from multiple organ system studies, 2) information on rat strains and disease models, 3) a PhenoMiner tool to query data integrated across ontologies, and 4) new strain medical records providing overviews of commonly used disease models with their characteristics, phenotypes, and omics data. The portal aims to help researchers choose appropriate rat strains for studying physiology and disease.
OMIM Integration in Human Disease OntologyLynn Schriml
Genetic diseases in the Human Disease Ontology are cross mapped to OMIM (www.omim.org). Here we present the process on data integration and management for coordinating data updates across resources.
OMIM Integration in Human Disease OntologyLynn Schriml
Genetic diseases in the Human Disease Ontology are cross mapped to OMIM (www.omim.org). Here we present the process on data integration and management for coordinating data updates across resources.
Poster presentation about the Resource Identification Initiative (http://www.force11.org/Resource_identification_initiative) at the Research Data Alliance meeting in Dublin, Ireland in March 2014 (https://rd-alliance.org/rda-third-plenary-meeting.html).
The role of genomics in oncology treatmentsTony Blau
A relatively new scientific discipline, genomics refers to examination of DNA code to understand how it works and how it can be used to better understand and treat diseases. In cancer research, genomics is useful in several ways.
A series project visualization too for review of DICOM images for protected health information
presented by William Bennett during the January 7, 2019 NCI Imaging Community call
In 2009 he left IARC and joined the faculty of Icahn School of Medicine at Mount Sinai in New York, NY, as Professor[5] and Associate Director for Population Sciences of the Tisch Cancer Institute and Director of the Institute for Translational Epidemiology.
Dr. Boffetta moved to Mount Sinai School of Medicine in 2010. He is Director of the Institute for Translational Epidemiology and Associate Director for Population Sciences of The Tisch Cancer Institute. He is also the Bluhdorn Professor of International Community Medicine.
On the Reproducibility of Science: Unique Identification of Research Resourc...Nicole Vasilevsky
Poster presentation at the Data Information Literacy Symposium at Purdue University in Indiana, Sept. 2013. This study is published here: https://peerj.com/articles/148/
Poster presentation about the Resource Identification Initiative (http://www.force11.org/Resource_identification_initiative) at the Research Data Alliance meeting in Dublin, Ireland in March 2014 (https://rd-alliance.org/rda-third-plenary-meeting.html).
The role of genomics in oncology treatmentsTony Blau
A relatively new scientific discipline, genomics refers to examination of DNA code to understand how it works and how it can be used to better understand and treat diseases. In cancer research, genomics is useful in several ways.
A series project visualization too for review of DICOM images for protected health information
presented by William Bennett during the January 7, 2019 NCI Imaging Community call
In 2009 he left IARC and joined the faculty of Icahn School of Medicine at Mount Sinai in New York, NY, as Professor[5] and Associate Director for Population Sciences of the Tisch Cancer Institute and Director of the Institute for Translational Epidemiology.
Dr. Boffetta moved to Mount Sinai School of Medicine in 2010. He is Director of the Institute for Translational Epidemiology and Associate Director for Population Sciences of The Tisch Cancer Institute. He is also the Bluhdorn Professor of International Community Medicine.
On the Reproducibility of Science: Unique Identification of Research Resourc...Nicole Vasilevsky
Poster presentation at the Data Information Literacy Symposium at Purdue University in Indiana, Sept. 2013. This study is published here: https://peerj.com/articles/148/
http://inarocket.com
Learn BEM fundamentals as fast as possible. What is BEM (Block, element, modifier), BEM syntax, how it works with a real example, etc.
How to Build a Dynamic Social Media PlanPost Planner
Stop guessing and wasting your time on networks and strategies that don’t work!
Join Rebekah Radice and Katie Lance to learn how to optimize your social networks, the best kept secrets for hot content, top time management tools, and much more!
Watch the replay here: bit.ly/socialmedia-plan
Content personalisation is becoming more prevalent. A site, it's content and/or it's products, change dynamically according to the specific needs of the user. SEO needs to ensure we do not fall behind of this trend.
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldabaux singapore
How can we take UX and Data Storytelling out of the tech context and use them to change the way government behaves?
Showcasing the truth is the highest goal of data storytelling. Because the design of a chart can affect the interpretation of data in a major way, one must wield visual tools with care and deliberation. Using quantitative facts to evoke an emotional response is best achieved with the combination of UX and data storytelling.
Succession “Losers”: What Happens to Executives Passed Over for the CEO Job?
By David F. Larcker, Stephen A. Miles, and Brian Tayan
Stanford Closer Look Series
Overview:
Shareholders pay considerable attention to the choice of executive selected as the new CEO whenever a change in leadership takes place. However, without an inside look at the leading candidates to assume the CEO role, it is difficult for shareholders to tell whether the board has made the correct choice. In this Closer Look, we examine CEO succession events among the largest 100 companies over a ten-year period to determine what happens to the executives who were not selected (i.e., the “succession losers”) and how they perform relative to those who were selected (the “succession winners”).
We ask:
• Are the executives selected for the CEO role really better than those passed over?
• What are the implications for understanding the labor market for executive talent?
• Are differences in performance due to operating conditions or quality of available talent?
• Are boards better at identifying CEO talent than other research generally suggests?
This poster by Melinda Dwinell about RGD's Phenotypes and Models Portal was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
The Monarch Initiative: From Model Organism to Precision Medicinemhaendel
NIH BD2K all-hands meeting poster November 12, 2015.
Attempts at correlating phenotypic aspects of disease with causal genetic influences are often confounded by the challenges of interpreting diverse data distributed across numerous resources. New approaches to data modeling, integration, tooling, and community practices are needed to make efficient use of these data. The Monarch Initiative is an international consortium working on the development of shared data, tools, and standards to enable direct translation of integrated genotype, phenotype, and environmental data from human and model organisms to enhance our understanding of human disease. We utilize sophisticated semantic mapping techniques across a diverse set of standardized ontologies to deeply integrate data across species, sources, and modalities. Using phenotype similarity matching algorithms across these data enables disorder prediction, variant prioritization, and patient matching against known diseases and model organisms. These similarity algorithms form the core of several innovative tools. The Exomiser, which enables exome variant prioritization by combining pathogenicity, frequency, inheritance, protein interaction, and cross-species phenotype data. Our Phenotype Sufficiency tool provides clinicians the ability to compare patient phenotypic profiles using the Human Phenotype Ontology to determine uniqueness and specificity in support of variant prioritization. The PhenoGrid visualization widget illustrates phenotype similarity between patients, known diseases, and model organisms. Monarch develops models in collaboration with the community in support of the burgeoning genotype-phenotype disease research community. We have successfully used Exomiser to solve a number of undiagnosed patient cases in collaboration with the NIH Undiagnosed Disease Program. Ongoing development in coordination with the Global Alliance for Genetic Health (GA4GH) and other groups will catalyze the realization of our goal of a vital translational community focused on the collaborative application of integrated genotype, phenotype, and environmental data to human disease.
Researchers use animal models in basic research, in developing new therapeutic strategies for treating human diseases, and in drug discovery research (including target identification and validation, drug screening and lead optimization, and toxicity and safety screening), as well as in preclinical studies of drug safety and efficacy.
MseqDR consortium: a grass-roots effort to establish a global resource aimed ...Human Variome Project
The success of whole exome sequencing (WES) for highly heterogeneous disorders, such as mitochondrial disease, is limited by substantial technical and bioinformatics challenges to correctly identify and prioritize the extensive number of sequence variants present in each patient. The likelihood of success can be greatly improved if a large cohort of patient data is assembled in which sequence variants can be systematically analysed, annotated, and interpreted relative to known phenotype. This effort has engaged and united more than 100 international mitochondrial clinicians, researchers, and bioinformaticians in the Mitochondrial Disease Sequence Data Resource (MSeqDR) consortium that formed in June 2012 to identify and prioritize the specific WES data analysis needs of the global mitochondrial disease community. Through regular web-based meetings, we have familiarized ourselves with existing strengths and gaps facing integration of MSeqDR with public resources, as well as the major practical, technical, and ethical challenges that must be overcome to create a sustainable data resource. We have now moved forward toward our common goal by establishing a central data resource (http://mseqdr.org/) that has both public access and secure web-based features that allow the coherent compilation, organization, annotation, and analysis of WES and mtDNA genome data sets generated in both clinical- and research-based settings of suspected mitochondrial disease patients. The most important aims of the MSeqDR consortium are summarized in the MSeqDR portal within the Consortium overview sections. Consortium participants are organized in 3 working groups that include (1) Technology and Bioinformatics; (2) Phenotyping, databasing, IRB concerns and access; and (3) Mitochondrial DNA specific concerns. The online MSeqDR resource is organized into discrete sections to facilitate data deposition and common reannotation, data visualization, data set mining, and access management. With the support of the United Mitochondrial Disease Foundation (UMDF) and the NINDS/NICHD U54 supported North American Mitochondrial Disease Consortium (NAMDC), the MSeqDR prototype has been built. Current major components include common data upload and reannotation using a novel HBCR based annotation tool that has also been made publicly available through the website, MSeqDR GBrowse that allows ready visualization of all public and MSeqDR specific data including labspecific aggregate data visualization tracks, MSeqDR-LSDB instance of nearly 1250 mitochondrial disease and mitochodnrial localized genes that is based on the Locus Specific Database model, exome data set mining in individuals or families using the GEM.app tool, and Account & Access Management. Within MSeqDR GBrowse it is now possible to explore data derived from MitoMap, HmtDB, ClinVar, UCSC-NumtS, ENCODE, 1000 genomes, and many other resources that bioinformaticians recruited to the project are organizing.
The Human Phenotype Ontology (HPO) was developed to describe phenotypic abnormalities, aka, “deep phenotyping”, whereby symptoms and characteristic phenotypic findings (a phenotypic profile) are captured. The HPO has been utilized to great success for assisting computational phenotype comparison against known diseases, other patients, and model organisms to support diagnosis of rare disease patients. Clinicians and geneticists create phenotypic profiles based on clinical evaluation, but this is time consuming and can miss important phenotypic features. Patients are sometimes the best source of information about their symptoms that might otherwise be missed in a clinical encounter. However, HPO primarily use medical terminology, which can be difficult for patients and their families to understand. To make the HPO accessible to patients, we systematically added non-expert terminology (i.e., layperson terms) synonyms. Using semantic similarity, patient-recorded phenotypic profiles can be evaluated against those created clinically for undiagnosed patients to determine the improvement gained from the patient-driven phenotyping, as well as how much the patient phenotyping narrows the diagnosis. This patient-centric HPO can be utilized by all: in patient-centered rare disease websites, in patient community platforms and registries, or even to post one’s hard-to-diagnosed phenotypic profile on the Web.
Leverage machine learning and new technologies to enhance rwe generation and ...Athula Herath
My personal activities on automating evidence synthesis and real world data derived evidence for automated treatment guidelines compilation for precision medicine.
Application of Microarray Technology and softcomputing in cancer BiologyCSCJournals
DNA microarray technology has emerged as a boon to the scientific community in understanding the growth and development of life as well as in widening their knowledge in exploring the genetic causes of anomalies occurring in the working of the human body. microarray technology makes biologists be capable of monitoring expression of thousands of genes in a single experiment on a small chip. Extracting useful knowledge and info from these microarray has attracted the attention of many biologists and computer scientists. Knowledge engineering has revolutionalized the way in which the medical data is being looked at. Soft computing is a branch of computer science capable of analyzing complex medical data. Advances in the area of microarray –based expression analysis have led to the promise of cancer diagnosis using new molecular based approaches. Many studies and methodologies have come up which analyszes the gene espression data by using the techniques in data mining such as feature selection, classification, clustering etc. emboiding the soft computing methods for more accuracy. This review is an attempt to look at the recent advances in cancer research with DNA microarray technology , data mining and soft computing techniques.
Genomics is the study of an organism's entire genome, which is the complete set of genetic material present in its DNA. This includes all the genes, non-coding regions, and regulatory sequences. Genomics involves sequencing and analyzing the DNA to identify genes, variations (such as single nucleotide polymorphisms or SNPs), and other structural features of the genome.
The Foundation of P4 Medicine Keynote Presentation as presented by Leroy Hood, M.D., PhD, at the Ohio State University Personalized Health Care National Conference 2010.
A radiology report serves as an intermediary between a radiologist and referring clinician for suggesting
appropriate treatment to the patients, aimed at better healthcare management. It is essentially a tool
that assists radiologists in conveying their input to the patients and clinicians regarding positive or negative findings on a case. The objective of this paper is to discuss and propose Radiology Information & Reporting System (RIRS), highlight challenges governing its implementation and suggest way forwards
towards its effective implementation across the public sector tertiary care institutions of Pakistan. In the end, it is concluded that the proposed RIRS would potentially offer enormous benefits in terms of cost
savings, reporting accuracy, faster processing and operational efficiency as opposed to the conventionally available manual radiology reporting procedures and systems.
Similar to Phenotypes and models portal at the rat genome database (20)
This poster by Mary Shimoyama about RGD's PhenoMiner Phenotype Database and Data Mining tool was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
Human QTL Data within the Rat Genome DatabaseJennifer Smith
This poster by Tim Lowry about RGD's human QTL data was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
The Diabetes Portal at the Rat Genome DatabaseJennifer Smith
This poster by Tom Hayman about RGD's Diabetes Disease Portal was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
RGD--A Repository and Cumulative Resource for Rat StrainsJennifer Smith
This poster by Rajni Nigam about RGD's rat strain data was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
This poster by Diane Munzenmaier about RGD's new Physiological Pathways Portal was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
Pathway resources at the Rat Genome DatabaseJennifer Smith
This poster by Victoria Petri about RGD's pathway resources was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
This poster by Jennifer Smith about methods of education and community outreach and input at the Rat Genome Database was presented at the December 2009 Rat Genomics and Models meeting at Cold Spring Harbor Laboratory.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
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
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
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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Phenotypes and models portal at the rat genome database
1. Phenotypes and Models Portal at the Rat Genome Database Melinda R. Dwinell1,2, Mary Shimoyama2, Rajni Nigam2, Jeff DePons2, Diane Munzenmaier1,2, Simon Twigger1,2, Howard J. Jacob1,2and the RGD team. 1Dept. of Physiology, 2Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226 The Phenotypes and Models Portal at the Rat Genome Database (http://rgd.mcw.edu) was designed to be an entryway to physiological data and disease model information for researchers using rat as a model to study physiological function and human disease. RGD has been developing portals and tools to view data with disease orientation for several years. Physiological research is often focused on biological function and mechanisms involved in the development, amelioration and prevention of disease. The Phenotypes and Models Portal combines existing RGD data with new physiological data to provide a view that allows physiologists to extract data focused on organ system function or to identify suitable rat models to study disease. The Phenotypes and Models Portal has four branches: 1) phenotype data, 2) strains and models, 3) phenotype mining tool, and 4) strain medical records. The phenotype data provides access to physiological data from multiple studies, across many organ systems and includes detailed experimental protocols. Strain availability and strain details, including models currently used to study human disease, are available in the strains and models branch. The PhenoMiner tool allows users to query data by strain, phenotype, experimental condition and measurement method. The new strain medical records allow for the comparison of commonly used strains across standard phenotypic measurements and provides available SNP, QTL and microarray data for each strain. This portal extends the effort to link phenotype and genotype data to assist users in choosing appropriate model strains for studying disease. Strains & Models This branch of the Phenotypes & Models portal provides access to detailed information about strains , identifies disease models, and offers techniques for colony maintenance and strain development. http://rgd.mcw.edu Supported by NHLBI 5R01HL064541 Strains & Models Phenotypes Phenotypes Summarized data for traits and detailed methods are available through this branch of the Phenotypes & Models portal. Strain Medical Records PhenoMiner Strain Medical Records The new strain medical records provides a systematic overview of models commonly used to study disease, including general characteristics (physical features, growth), phenotype data, and available SNP, QTL and microarray data for each strain. PhenoMiner This new tool uses multiple ontologies to integrate physiological data and provides a method to query the available data by rat strain, phentoype, experimental conditions and measurement methods.
