Nanopore sequencing is a fourth generation DNA sequencing technique that involves monitoring changes in electric current as DNA molecules pass through nanopores. There are two main types of nanopores: biological nanopores made of protein complexes like alpha-hemolysin, and solid state nanopores made in thin silicon nitride membranes. Nanopore sequencing has advantages of being label-free, producing long reads at high throughput with low material requirements, but challenges include slowing DNA translocation and reducing noise. Potential applications are in single molecule sensing for analysis of biomolecules.
Oxford Nanopore was founded in Oxford Nanolabs by Dr.Gordon Sanghera, Dr.Spike Willcocks and Professor Hagan Bayley. Nanopore sequencing has been around since the 1990s, when Church et al. and Deamer and Akeson separately proposed that it is possible to sequence DNA using nanopore sensors.
Oxford Nanopore was founded in Oxford Nanolabs by Dr.Gordon Sanghera, Dr.Spike Willcocks and Professor Hagan Bayley. Nanopore sequencing has been around since the 1990s, when Church et al. and Deamer and Akeson separately proposed that it is possible to sequence DNA using nanopore sensors.
Genome annotation, NGS sequence data, decoding sequence information, The genome contains all the biological information required to build and maintain any given living organism.
SNP (Single Nucleotide Polymorphic), SNP mapping, SNP profile, SNP types, SNP analysis by gel electropherosis and by mass spectrometry, SNP effects, single strand conformation polymorphism, SNP advantages and disadvantages and application of SNP profile in drug choice
Deciphering DNA sequences is essential for virtually all branches of biological research. With the
advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to
elucidate genetic information from any given biological system. This technology has become widely
adopted in laboratories around the world, yet has always been hampered by inherent limitations in
throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential
information they need for their course of study. To overcome these barriers, an entirely new technology
was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing
that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
Next Generation Sequencing (NGS) Is A Modern And Cost Effective Sequencing Technology Which Enables Scientists To Sequence Nucleic Acids At Much Faster Rate. In This Presentation, You Will Learn About What is NGS, Idea Behind NGS, Methodology And Protocol, Widely Adapted NGS Protocols, Applications And References For Further Study.
The Protein Data Bank (PDB) is a database for the three-dimensional structural data of large biological molecules, such as proteins and nucleic acids. This presentation deals with what, why, how, where and who of PDB. In this presentation we have also included briefing about various file formats available in PDB with emphasis on PDB file format
Potential applications for Oxford Nanopore sequnecingYaniv Erlich
This is a collection of short (3 slides) student presentations for the Ubiquitous Genomics class of Columbia University 2016.
The students were asked to pitch an idea for a company that uses mobile DNA sequencing for an area of high impact. They also had to present several technical challenges for their idea.
Genome annotation, NGS sequence data, decoding sequence information, The genome contains all the biological information required to build and maintain any given living organism.
SNP (Single Nucleotide Polymorphic), SNP mapping, SNP profile, SNP types, SNP analysis by gel electropherosis and by mass spectrometry, SNP effects, single strand conformation polymorphism, SNP advantages and disadvantages and application of SNP profile in drug choice
Deciphering DNA sequences is essential for virtually all branches of biological research. With the
advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to
elucidate genetic information from any given biological system. This technology has become widely
adopted in laboratories around the world, yet has always been hampered by inherent limitations in
throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential
information they need for their course of study. To overcome these barriers, an entirely new technology
was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing
that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
Next Generation Sequencing (NGS) Is A Modern And Cost Effective Sequencing Technology Which Enables Scientists To Sequence Nucleic Acids At Much Faster Rate. In This Presentation, You Will Learn About What is NGS, Idea Behind NGS, Methodology And Protocol, Widely Adapted NGS Protocols, Applications And References For Further Study.
The Protein Data Bank (PDB) is a database for the three-dimensional structural data of large biological molecules, such as proteins and nucleic acids. This presentation deals with what, why, how, where and who of PDB. In this presentation we have also included briefing about various file formats available in PDB with emphasis on PDB file format
Potential applications for Oxford Nanopore sequnecingYaniv Erlich
This is a collection of short (3 slides) student presentations for the Ubiquitous Genomics class of Columbia University 2016.
The students were asked to pitch an idea for a company that uses mobile DNA sequencing for an area of high impact. They also had to present several technical challenges for their idea.
Presentation of Oxford Nanopore technology at @IBV_CSIC. Case study on Bothrops asper at the Functional and Structural Venomics unit. Next: Echis ocellatus SVMP gene cluster
A class of DNA sequencing techniques currently in active development is third-generation sequencing, commonly referred to as long-read sequencing. In comparison to second generation sequencing, also referred to as next generation sequencing, third generation sequencing technologies have the capacity to create noticeably longer reads.
To understand the basic concept of blotting techniques (Southern, northern, western)
To know the main applications and advantages of each of the main types of blotting techniques
To be familiar with the steps (in brief) for performing a blotting procedure
To understand the major similarities & differences between different blotting techniques
To be introduced to an example of applying a blotting technique in diagnosis of diseases (SCA)
NEED OF GENETIC SEQUENCING
- Understanding the particular DNA sequence can shed light on a genetic condition and offer hope for the eventual development of treatment.
- An alteration in a DNA sequence can lead to an altered or non functional protein and hence to a harmful effect in a plant or animal.
- Simple point mutations can cause altered protein shape and function.
Ribosomes are complex structures found in all living cells which functions in protein synthesis machinery. Basically ribosome’s consists of two subunits, each of which is composed of protein and a type of RNA, known as ribosomal RNA (rRNA). Prokaryotic ribosomes consist of 30S subunit (small sub unit) and 50S subunit (large sub unit) which together make up the complete 70S ribosome, where S stands for Svedberg unit non-SI unit for sedimentation rate. 30S subunit is composed of 16S ribosomal RNA and 21 polynucleotide chains while 50S subunit is composed of two rRNA species, the 5S and 23S rRNAs. The presence of hyper variable regions in the 16S rRNA gene provides a species specific signature sequence which is useful for bacterial identification process. 16S Ribosomal RNA sequencing is widely used in microbiology studies to identify the diversities in prokaryotic organisms as well as other organisms and thereby studying the phylogenetic relationships between them. The advantages of using ribosomal RNA in molecular techniques are as follows
Ribosomes and ribosomal RNA are present in all cells.
RNA genes are highly conserved in nature.
Culturing of microbial cells is absent in the sequencing techniques.
Concept: reannealing nucleic acids to identify sequence of interest.
Separates DNA/RNA in an agarose gel, then detects specific bands using probe and hybridization.
Hybridization takes advantage of the ability of a single stranded DNA or RNA molecule to find its complement, even in the presence of large amounts of unrelated DNA.
Allows detection of specific bands (DNA fragments or RNA molecules) that have complementary sequence to the probe.
Size bands and quantify abundance of molecule.
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.
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.
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.
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
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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
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.
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.
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.
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.
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/
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.
6. INTRODUCTION
The fourth-generation DNA sequencing technology
Studies the interaction between DNA and protein, as well as
between protein and protein.
Have the potential to quickly and reliably sequence the entire
human genome for less than $1000, and possibly for even less
than $100.
The detection principle is based on monitoring the ionic
current passing through the nanopore as a voltage is
applied across the membrane. When the nanopore is of
molecular dimensions, passage of molecules (e.g., DNA)
cause interruptions of the current level, leading to a
signal.
7. Conti...
Since DNA bases (adenine, thymine, cytosine and
guanine) are different from each other in atomic scale, it is
essential to collect base-specific information at atomic level
to correspond the DNA sequence with the measured signals.
According to the different types of the signals, the detection
methods can be roughly classified into two categories:
the electrical detection methods and the optical readout
method.
8. In the 1990s, Church et al. And
Deamer and Akeson separately
proposed that it is possible to
sequence DNA using nanopore
sensors
9. Nanopore technologies can be broadly divided into
two categories:
1. Biological nanopore
2. Solid-state nanopore
More recently, hybrid nanopores have been
proposed to take advantage of the features of
both biological and solid-state nanopores.
TYPES OF NANOPORES
10. Biological nanopores
also called transmembrane protein
channels,
are usually inserted into a substrate, such
as planar lipid bilayers, liposomes, or other
polymer films.
Nanopores formed by pore-forming
proteins
Examples: alpha-hemolysin,
MspA,
phi 29
11. ALPHA-HEMOLYSIN
a-Hemolysin (a-HL, also called a-
toxin)
a-HL is an exotoxin secreted by the
bacterium Staphylococcus aureus, a
human pathogen.
This mushroom-shaped heptameric
protein normally forms pores in the
membranes.
The limited pore size (1.4 nm) has
restricted its application in the
analysis of ssDNA, RNA, or small
molecules.
12. Mycobacterium smegmatis porin A
(MspA)
Powerful nanopore for reading
information from four
nucleotides simultaneously.
by Butler et al. in 2008.
The channel of the MspA
octamer is 1 nm in diameter at
the minimal point, which is
relatively small and narrow,
compared to that of alpha-HL.
Thus, it can improve the spatial
resolution of ssDNA
sequencing.
13.
14.
15. The advantages of biological nanopores
include:
1.Their well-defined and highly-reproducible
nanopore size and structure.
2.Biological nanopores can be modified easily with
modern molecular biology techniques, such as
mutating the nucleotide sequence to change the
amino acid residue at a specific site.
16. Disadvantages of biological
nanopores:
1. The evironmental demands( like temperature ,
electrolyte concentration and Ph) of nanopores to
keep there biological activities.
2. The fragility of lipid bilayer makes the biological
nanopore breakdown easily
17. SOLID STATE NANOPORE
In 2001, Li et al.
are made in silicon compound membranes
(Silicon nitride)
More recently, the use of graphene as a
material for solid-state nanopore sensing
has been explored.
23. The significant
advantages of nanopore seq.
Label-free,
Ultra-long
Reads (104–106 bases),
High throughput, and
Low material requirement.
The nanopore approach is one option for the
fourth-generation low-cost and rapid DNA
sequencing technology.
24. Challenges:
To slow down DNA translocation from
microseconds per base to milli seconds.
To reduce stochastic motion of the DNA molecule
in transit in order to decrease the signal/noise
ratio
25. APPLICATIONS
Nanopores as single-
molecule sensing
technologies have
great potential
applications in many
areas, such as
analysis of ions,
DNA, RNA,
peptides, proteins,
drugs, polymers, and
macromolecules.