The post-genomic era: epigenetic sequencing applications and data integration
by dr. ir. Maté Ongenaert - Center for Medical Genetics, Ghent University
The past decade is known as the post-genomic era. Ever since the first published human genomes, the pace to determine new genomes ever increased. In addition, a number of new sequencing applications gave access to previously unexplored areas at a genome-wide scale such as whole epigenomes.
In this talk, the data generated from a number of sequencing techniques to determine whole DNA-methylomes and whole genome histone marks will be discussed.
Main goal: to convince scientists that the analysis tools have matured to a level that, using a good manual and insight in the mechanisms behind the analysis, they can do their own basic analyses.
Starting from a raw sequence file, over quality control to mapping to the reference genome, peak calling, visualization and identification of differentially methylated sites: within the time-frame of this talk, the entire process will be demonstrated.
As epigenetics regulates genomic processes and literally is a layer above genetics, able to fine-tune regulatory processes, several layers of information should be look at to understand the underlying mechanisms.
Important aspect in the analysis of epigenetic datasets thus is the integration of several data sources (expression results, re-expression results, DNA-methylation information and histone-modifications).
Overview of epigenetics and its role in diseaseGarry D. Lasaga
Epigenetics is the study of heritable changes in gene expression (active versus inactive genes) that do not involve changes to the underlying DNA sequence — a change in phenotype without a change in genotype — which in turn affects how cells read the genes.
Introduction
Genetics of somatic cell
Somatic cell genetics
Somatic cell nuclear transfer
Somatic cell hybridization
Mapping human genes by using human rodent hybrids
In medical application
Production of monoclonal antibodies by using hybridoma technology
Conclusion
References
Introduction
Transcriptome analysis
Goal of functional genomics
Why we need functional genomics
Technique
1. At DNA level
2.At RNA level
3. At protein level
4. loss of function
5. functional genomic and bioinformatics
Application
Latest research and reviews
Websites of functional genomics
Conclusions
Reference
What is Genome,Genome mapping,types of Genome mapping,linkage or genetic mapping,Physical mapping,Somatic cell hybridization
Radiation hybridization ,Fish( =fluorescence in - situ hybridization),Types of probes for FISH,applications,Molecular markers,Rflp(= Restriction fragment length polymorphism),RFLPs may have the following Applications;Advantages of rflp,disAdvantages of rflp, Rapd(=Random amplification of polymorphic DNA),Process of rapd, Difference between rflp &rapd
"Epigenetics refers to genetic factors that change an organism’s appearance or biological functions without changing the actual DNA sequence. In other words, gene expression changes but the genes themselves don’t. Epigenetics adds an additional level of complexity to the genetic code." - Public Health Cafe
The utility of 18F-fluorocholine PET/CT in the imaging of parathyroid adenomasNukleer Tıp Uzmanı
Introduction:
The aim of the study was to estimate the sensitivity of 18F-FCH PET/CT in preoperative localisation of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism (PHPT).
Material and methods:
Sixty-five consecutive patients with PHPT, who underwent neck ultrasound (US) and 99mTc/99mTc-MIBI dual-phase parathyroid scintigraphy, were prospectively enrolled. Twenty-two patients had unsuccessful parathyroid surgery prior to the study. PET/CT scans were performed 65.0 ± 13.3 min after injection of 218.5 ± 31.9 MBq of 18F-fluorocholine (FCH). Three experienced nuclear medicine physicians assessed the detection rate of hyperfunctioning parathyroid tissue. Response to parathyroidectomy and clinical follow-up served as a reference test. Per-patient sensitivity and positive predictive value (PPV) were calculated for patients who underwent surgery.
Results:
18F-FCH PET/CT was positive in 61 patients, and negative in 4. US and parathyroid scintigraphy showed positive and negative results in 20, 45 and 17, 48, respectively. US showed nodular goitre in 31 patients and chronic thyroiditis in 9 patients. Parathyroid surgery was performed in 43 (66%) patients. 18F-FCH PET/CT yielded a sensitivity of 100% (95% CI: 87.99–100) and PPV of 85.7% (95% CI: 70.77–94.06). Similar values were observed in patients with chronic thyroiditis, nodular goitre, and patients after an unsuccessful parathyroid surgery. PET/CT identified hyperparathyroidism complications (kidney stones, osteoporotic bone fractures, and brown tumours) in 11 patients.
Conclusions:
18F-FCH PET/CT effectively detected hyperfunctioning parathyroid tissue and its complications. The method showed excellent sensitivity and positive predictive value, including patients with nodular goitre, chronic thyroiditis, and prior unsuccessful parathyroidectomy. PET/CT performance was superior to neck ultrasound and parathyroid scintigraphy.
18F-FCH PET/CT; fluorocholine; hyperparathyroidism; parathyroid imaging
Overview of epigenetics and its role in diseaseGarry D. Lasaga
Epigenetics is the study of heritable changes in gene expression (active versus inactive genes) that do not involve changes to the underlying DNA sequence — a change in phenotype without a change in genotype — which in turn affects how cells read the genes.
Introduction
Genetics of somatic cell
Somatic cell genetics
Somatic cell nuclear transfer
Somatic cell hybridization
Mapping human genes by using human rodent hybrids
In medical application
Production of monoclonal antibodies by using hybridoma technology
Conclusion
References
Introduction
Transcriptome analysis
Goal of functional genomics
Why we need functional genomics
Technique
1. At DNA level
2.At RNA level
3. At protein level
4. loss of function
5. functional genomic and bioinformatics
Application
Latest research and reviews
Websites of functional genomics
Conclusions
Reference
What is Genome,Genome mapping,types of Genome mapping,linkage or genetic mapping,Physical mapping,Somatic cell hybridization
Radiation hybridization ,Fish( =fluorescence in - situ hybridization),Types of probes for FISH,applications,Molecular markers,Rflp(= Restriction fragment length polymorphism),RFLPs may have the following Applications;Advantages of rflp,disAdvantages of rflp, Rapd(=Random amplification of polymorphic DNA),Process of rapd, Difference between rflp &rapd
"Epigenetics refers to genetic factors that change an organism’s appearance or biological functions without changing the actual DNA sequence. In other words, gene expression changes but the genes themselves don’t. Epigenetics adds an additional level of complexity to the genetic code." - Public Health Cafe
The utility of 18F-fluorocholine PET/CT in the imaging of parathyroid adenomasNukleer Tıp Uzmanı
Introduction:
The aim of the study was to estimate the sensitivity of 18F-FCH PET/CT in preoperative localisation of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism (PHPT).
Material and methods:
Sixty-five consecutive patients with PHPT, who underwent neck ultrasound (US) and 99mTc/99mTc-MIBI dual-phase parathyroid scintigraphy, were prospectively enrolled. Twenty-two patients had unsuccessful parathyroid surgery prior to the study. PET/CT scans were performed 65.0 ± 13.3 min after injection of 218.5 ± 31.9 MBq of 18F-fluorocholine (FCH). Three experienced nuclear medicine physicians assessed the detection rate of hyperfunctioning parathyroid tissue. Response to parathyroidectomy and clinical follow-up served as a reference test. Per-patient sensitivity and positive predictive value (PPV) were calculated for patients who underwent surgery.
Results:
18F-FCH PET/CT was positive in 61 patients, and negative in 4. US and parathyroid scintigraphy showed positive and negative results in 20, 45 and 17, 48, respectively. US showed nodular goitre in 31 patients and chronic thyroiditis in 9 patients. Parathyroid surgery was performed in 43 (66%) patients. 18F-FCH PET/CT yielded a sensitivity of 100% (95% CI: 87.99–100) and PPV of 85.7% (95% CI: 70.77–94.06). Similar values were observed in patients with chronic thyroiditis, nodular goitre, and patients after an unsuccessful parathyroid surgery. PET/CT identified hyperparathyroidism complications (kidney stones, osteoporotic bone fractures, and brown tumours) in 11 patients.
Conclusions:
18F-FCH PET/CT effectively detected hyperfunctioning parathyroid tissue and its complications. The method showed excellent sensitivity and positive predictive value, including patients with nodular goitre, chronic thyroiditis, and prior unsuccessful parathyroidectomy. PET/CT performance was superior to neck ultrasound and parathyroid scintigraphy.
18F-FCH PET/CT; fluorocholine; hyperparathyroidism; parathyroid imaging
Interest has increased in the use of prognosis factors as a cursor for breast cancer personalized treatment. For clinicians, early detection of those factors can be helpful for a good management of the disease and for the choice of an efficient treatment. Moreover, it exists a huge amount of meaningful information in pathological reports, biological measurements and clinical information in a patient journey that remain unexploited. In that context, I propose to develop and apply novel machine learning techniques to predict cancer outcome such as recurrence or survival from multi-modal breast cancer patient data (including medical notes in natural languages and the outcome of various lab analyses). For that, I use a deep neural sequence transduction for electronic health records called BEHRT1. This model is inspired from one of the most powerful transformer-based architecture in Natural Language Processing: BERT2.
Webinar analyzing complex genomic variants in somatic cancer Lisa Owen
Next generation sequencing (NGS) technologies facilitate the accurate detection of genetic and genomic variants. Yet the process of analyzing and classifying more complex alterations remains challenging.
In this slide deck, which is a companion to the webinar presented on February 21, 2019 and located here (https://www.pieriandx.com/analyzingcomplexgenomicvariants) you’ll learn how to analyze complex genomic alterations, such as gene fusions, splice-site mutations, and co-occurring variants within the context of somatic cancer.
Examining gene expression and methylation with next gen sequencingStephen Turner
Slides on RNA-seq and methylation studies using next-gen sequencing given at the University of Miami Hussman Institute for Human Genomics "Genetic Analysis of Complex Human Diseases" course in 2012 (http://hihg.med.miami.edu/educational-programs/analysis-of-complex-human-diseases/genetic-analysis-of-complex-human-diseases/)
18F-FDG PET-CT Features of A Hemophagocytic Syndrome Secondary To A Metastati...semualkaira
Several cases of hemagocytic syndrome have been described in 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT), secondary to lymphoma diseases. Splenic nodules were discovered during a surveillance scanner performed in a 77 year old woman followed up for a melanoma stage II
18F-FDG PET-CT Features of A Hemophagocytic Syndrome Secondary To A Metastati...semualkaira
Several cases of hemagocytic syndrome have been described in 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT), secondary to lymphoma diseases. Splenic nodules were discovered during a surveillance scanner performed in a 77 year old woman followed up for a melanoma stage IIB
Слайдсет о новом в лечении ВИЧ.Key Slides on What’s Hot in HIV Treatment.2020 hivlifeinfo
Expert-authored slides on the latest issues relating to HIV care, featuring patient cases and considerations for optimal treatment approaches. Topics include integrating newer ARVs, individualizing ART for women of childbearing potential and during pregnancy, adverse events during ART, and anticipated roles of emerging ART strategies.
This webinar will provide an in-depth review of the CPT/HCPCS code set changes that will be effective on July 1, 2023. The review will include additions and deletions to the CPT/HCPCS code set, revisions of code descriptors, payment changes, and rationale behind the changes.
Bioinformatics tools for the diagnostic laboratory - T.Seemann - Antimicrobi...Torsten Seemann
"Bioinformatics tools for the diagnostic laboratory" presented at the Australian Society for Antimicrobials 2016 annual conference in Melbourne Australia. Slides are aimed at a biological / pathology / clinican audience. Some material has been re-imagined from Nick Loman's ECCMID 2015 talk.
WEBINAR: Potential Role of Aspect Imaging’s Compact 1T Preclinical Scanner in...Scintica Instrumentation
Dr. Lenkinski will discuss the utility of this system for cancer research, and will spend some time discussing his imaging techniques for both multi-parametric multi-modality imaging, along with showing examples of how he configured his imaging facility to perform sequential PET/MRI studies. Validation examples from patient derived xenograft an implanted cell line models will be shown, and finally Dr. Lenkinski will finish by showing some examples of perfusion studies.
In this free webinar hosted by Scintica Instrumentation Dr. Lenkinski will review some of the key research studies he performed using the M-seriesTM compact MRI systems from Aspect Imaging at both UT Southwestern and Harvard Medical Centers. These systems remove barriers for the preclinical researcher, allowing them access to an imaging modality once thought to be attainable to only a handful of specialized researchers. These systems are cost effective, both in purchase price and running and maintenance costs; they require no specialized infrastructure, plumbing for cooling water, or cryogens; and they have been designed to be simple to operate, requiring no previous background in MR physics.
Topics discussed in this webinar included:
Monitoring tumor growth non-invasively
MRI in multi parametric multimodality imaging – examples
Examples of sequential PET/MRI
Validation of multimodality approaches in clinical studies – PDX models and implanted cell line models
Perfusion studies
If you want more information on our small animal MRI options visit our Aspect Imaging page www.scintica.com
The invention proposes an architecture able to solves particular problems via a novel data synchronization system based on SoC-FPGA devices and GPS-like time calibration algorithms
Similar to The post-genomic era: epigenetic sequencing applications and data integration (20)
Strong reversal of the lung fibrosis disease signature by autotaxin inhibitor...Maté Ongenaert
Strong reversal of the lung fibrosis disease signature by autotaxin inhibitor GLPG1690 in a mouse model for IPF
Maté Ongenaert (Mechelen, Belgium), Maté Ongenaert, Sonia Dupont, Roland Blanqué, Reginald Brys, Ellen van der Aar, Bertrand Heckmann
ERS - European Respiratory Society International Congress 2016. Session: Therapeutic horizons: novel targets and pharmacological models
Background and objectives
GLPG1690 is a novel potent autotaxin (ATX) inhibitor shown to be efficacious in the mouse bleomycin (BLM) lung fibrosis model. Here, we analyze the impact of GLPG1690 on the gene expression signature in mouse fibrotic lung tissue.
Methods
Lung fibrosis was induced by intranasal administration of BLM. Animals were treated with GLPG1690 or vehicle.Whole superior right lung was used for RNA extraction. Full transcriptome analysis was performed using the Agilent SurePrint G3 mouse chip. Analysis was performed using empirical Bayes methods and linear models. Public human IPF expression data were re-analyzed.
Results
GLPG1690 strongly reduced lung fibrosis as shown by reduction of Ashcroft scores and collagen content. Microarray analysis of the lungs revealed that GLPG1690 strongly reversed the impact of gene expression caused by BLM (367 out of the 2375 probes). As GLPG1690 treatment affects 395 probes, this treatment effect is highly relevant in the model. Gene clusters affected by BLM treatment and reverted by GLPG1690 are related to extracellular matrix (such as Tnc and Spp1), collagen (Col3a1) and cytokines/chemokines (Cxcl12). Several of the affected genes are known to be involved in the development or progression of lung fibrosis in IPF patients.
Conclusions
These data provide further mechanistic understanding of the efficacy of ATX inhibition in a pre-clinical lung fibrosis model, highlighting a role for extracellular matrix and inflammation biology. These data strongly suggest that GLPG1690 may be beneficial in treating IPF patients and support its evaluation in a clinical study
Exploring the neuroblastoma epigenome: perspectives for improved prognosisMaté Ongenaert
EXPLORING THE NEUROBLASTOMA EPIGENOME: PERSPECTIVES FOR THE DISCOVERY OF PROGNOSISTIC BIOMARKERS
M. Ongenaert, A. Decock, J. Vandesompele, F. Speleman
Center for Medical Genetics, Ghent University, Ghent, Belgium (mate.ongenaert@ugent.be)
Neuroblastoma (NB) is a childhood tumor originating from sympathetic nervous system cells. Although recently new insights into genes involved in NB have emerged, the molecular basis of neuroblastoma development and progression still remains poorly understood. The best-characterized genetic alterations include amplification of the proto-oncogene MYCN, ALK activating mutations or amplification, gain of chromosome arm 17q and losses of 1p, 3p, and 11q. Epigenetic alterations have been described as well: caspase-8 (CASP8) and RAS-association domain family 1 isoform A (RASSF1A) DNA-methylation are important events for the development and progression of neuroblastoma. In total, there are about 75 genes described as epigenetically affected in NB cell lines and/or NB primary samples.
Most of these methylation markers are found using ‘candidate gene’ approaches and the methylation frequencies are usually very low. In order to find novel methylation markers that can be used for improved prognosis, we applied a whole-genome methylation screen. This technique relies on capturing with the MBD2 protein, containing a methyl-binding domain (MBD), with a very high affinity towards methylated genomic regions. In an initial phase, MBD2-seq was performed on 8 NB cell lines (where we also had micro-array data of, before and after treatment with DAC). As these results are promising, we will explore the complete methylomes of 45 primary NB tumors.
Based on an integrative analysis (re-expression results, expression micro-arrays, MBD2-sequencing on cell lines), 48 MSP (Methylation Specific PCR) assays were tested on 89 primary neuroblastoma patients of different risk categories. The results of this validation study demonstrate the power of epigenetic biomarkers as several assays are informative for prognosis and survival.
High-throughput proteomics: from understanding data to predicting themMaté Ongenaert
High-throughput proteomics: from understanding data to predicting themprof. dr. Lennart Martens
UGent - Department of Biochemistry, Faculty of Medicine and Health Sciences, VIB - Group Leader Computational Omics and Systems Biology Group (CompOmics), Department of Medical Protein Research
In proteomics, as in any high-throughput omics field, the rate of data generation has increased dramatically, yielding very large datasets that require substantial processing to render them useful and interpretable. Key concepts here are data management, data-bound analysis algorithms, and user interface design. But we do not need to limit ourselves to only the interpretation of experimental results. By combining data from across many (unrelated) experiments, we can gain substantial knowledge about the strengths and limitations of our technological approaches. High-throughput methods however, rarely serve as the endpoint for research. As exquisite parallel hypothesis testers, these approaches can quickly highlight promising follow-up targets for more detailed study. Yet moving from discovery to targeted analysis requires much more in-depth understanding of sample and methodology, which is where the insights gained from large-scale data analysis come into play. Armed with this knowledge, we can begin to predict experimental outcomes based on specific hypotheses, thus effectively creating tests or assays that can be used in focused validation experiments
Microarray data and pathway analysis: example from the benchMaté Ongenaert
Microarray data and pathway analysis: example from the bench
by drs. Jolien Vermeire - HIVlab, Department of Clinical Chemistry, Microbiology and Immunology – UGent
The increased availability and lower cost of gene expression microarrays has stimulated the use of transcriptome studies in a high variety of fields. Generating expression data at whole-genome level can indeed be a powerful method to characterize cellular pathways involved in a certain biological process. However, the challenge of extracting relevant biological information from such large datasets still prevents researchers from exploiting this tool. In this presentation I will share my personal experience, as a 'researcher non-bioinformatician', with performing microarray data and pathway analyses. I will give a general overview of the different steps that where followed in order to transform raw gene expression data, obtained in context of HIV research, into useful biological information and highlight different methods and software tools that helped me in this process.
Large scale machine learning challenges for systems biologyMaté Ongenaert
Large scale machine learning challenges for systems biology
by dr. Yvan Saeys - Machine Learning and Data Mining group, Bioinformatics and Systems Biology Division, VIB-UGent Department of Plant Systems Biology
Due to technological advances, the amount of biological data, and the pace at which it is generated has increased dramatically during the past decade. To extract new knowledge from these ever increasing data sets, automated techniques such as data mining and machine learning techniques have become standard practice.
In this talk, I will give an overview of large scale machine learning challenges in bioinformatics and systems biology, highlighting the importance of using scalable and robust techniques such as ensemble learning methods implemented on large computing grids.
I will present some of our state-of-the-art tools to solve problems such as biomarker discovery, large scale network inference, and biomedical text mining at PubMed scale.
Integrative transcriptomics to study non-coding RNA functionsMaté Ongenaert
Integrative transcriptomics to study non-coding RNA functions
by dr. ir. Pieter Mestdagh - Center for Medical Genetics, Ghent University
Over the last years, non-coding RNAs (e.g. microRNAs and long non-coding RNAs) have emerged as an important layer of the transcriptome. In order to elucidate their function in disease biology, multiple tools have been developed, ranging from miRNA target prediction algorithms to the more advanced integrative genomics approaches. Through the combination of multiple layers of information, integrative genomics allows a more accurate and comprehensive assessment of non-coding RNA functions in human disease. In this presentation, I will discuss different approaches on how to combine multi-level transcriptome data in order to functionally characterize non-coding RNA networks.
Race against the sequencing machine: processing of raw DNA sequence data at t...Maté Ongenaert
Race against the sequencing machine: processing of raw DNA sequence data at the Genomics Core
by dr. Luc Dehaspe - Genomics Core, UZ Leuven
To grow and function, living organisms unconsciously and continuously read instructions from the DNA sequence in each cell. Thanks to the advances in DNA sequencing technology, scientists are increasingly able to consciously read along. In 2001, sequencing efforts resulted in a first draft of human genome. Since then, the capacity of the DNA reading machines has doubled every six months on average. While the first human genome sequencing project took years of worldwide collaboration, multiple genomes can now be sequenced in 10 days on a single machine at a service facility such as the Genomics Core.
Each sequencing run gives rise to a few terabytes of raw data that, using bioinformatics techniques, must be processed in time, before the next bunch of data arrives.
I will discuss bioinformatics techniques that are commonly used in the Genomics Core and that have a chance to survive another generation of sequencing machines. <\br>A crucial feature of these techniques is that they keep up with the sequencing machines by creating sub-tasks that are distributed over an extensible network of computers.
Bringing the data back to the researchers
by ir. Geert Trooskens - BIOBIX, UGent
Genome wide analysis is getting bigger, better and faster.
Researchers are looking for answers in the vast amounts of different data sets that come out these analyses, conceivably leaving important information on a storage disk.
We present the Hitchhikers Guide to the Genome (H2G2): a platform that allows (epi-)genetic, genomic, and proteomic data fusion and visualization.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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!
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.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
The post-genomic era: epigenetic sequencing applications and data integration
1. The post-genomic era Epigenetic sequencing applications and data integration WOUD mini-symposium28/09/2011 Maté Ongenaert Center for Medical Genetics Ghent University Hospital, Belgium
2.
3. Epigenetics > Introduction -genetics Heritable changes to the DNA or histones without affecting the DNA sequence A whole range of changes are described DNA-methylation Histonetailmodifications Methylation Acetylation Phosphorylation …. Epigenetic changes are interconnected
13. Epigenetics > Detection / Prognosis / Prediction Prediction Chemotherapy respons (MGMT in brain cancer - temozolomide)
14.
15.
16. Sequencing the epigenome Shearing of DNA (Covaris) Sequencing Control of fragment sizeswith high sensitivity DNA chips Concentration determination of the fragmented DNA with Fluostar Optima plate reader MBD2 immunoprecipitation reaction (MethylCollector Kit)
22. Sequencing the epigenome Mapping macs14 -t IMR32.bowtie -f BOWTIE -g hs -n IMR32 -w --single-wig Input: mapped “treatment” reads and format of mapping (you can also provide a control sample) Parameters:-g hs: human reference genome (for size estimation)- n: name of output files - w: create wig-files for visualisation (counts)
29. Conclusions Sequencingepigenomesreveals a wealth of information There is no suchthing as the epigenome Methylome Hydroxymethylome Different histonemodifications Don’tforget the interplayand the dynamics… Start exploring the data byyourselfas youknow the application the best