The document discusses several topics related to molecular biology and DNA replication. It provides figures and diagrams to illustrate key concepts such as:
1) The DNA replication process, with leading and lagging strands synthesized in opposite directions and RNA primers used to initiate DNA synthesis.
2) Restriction enzymes cutting DNA at specific sites to generate sticky ends for recombinant DNA techniques.
3) The polymerase chain reaction amplifying a specific DNA region using primers and repeated cycles of denaturation, annealing and extension.
4) DNA sequencing methods like Sanger sequencing using labeled dideoxynucleotides to terminate DNA strands at different positions for detection.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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/
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
39. Fig. 20-3-1
Restriction site
DNA 5 3
3 5
1 Restriction enzyme
cuts sugar-phosphate
backbones.
Sticky end
40. Fig. 20-3-2
Restriction site
DNA 5 3
3 5
1 Restriction enzyme
cuts sugar-phosphate
backbones.
Sticky end
2 DNA fragment added
from another molecule
cut by same enzyme.
Base pairing occurs.
One possible combination
41. Fig. 20-3-3
Restriction site
DNA 5 3
3 5
1 Restriction enzyme
cuts sugar-phosphate
backbones.
Sticky end
2 DNA fragment added
from another molecule
cut by same enzyme.
Base pairing occurs.
One possible combination
3 DNA ligase
seals strands.
Recombinant DNA molecule
42. Fig. 20-9a
TECHNIQUE
Mixture of Power
DNA mol- source
ecules of – Cathode Anode +
different
sizes
Gel
1
Power
source
– +
Longer
molecules
2 Shorter
molecules
45. Fig. 20-10
Normal -globin allele Normal Sickle-cell
allele allele
175 bp 201 bp Large fragment
DdeI DdeI DdeI DdeI Large
fragment
Sickle-cell mutant -globin allele
376 bp
376 bp Large fragment 201 bp
175 bp
DdeI DdeI DdeI
(a) DdeI restriction sites in normal and (b) Electrophoresis of restriction fragments
sickle-cell alleles of -globin gene from normal and sickle-cell alleles
46.
47. Restriction Enzyme Lab
• HINTS: • Lambda DNA/PstI:
• pMAP is 5615bp • You should not be
• There are able to see beyond
– 2 PstI sites. the 805bp band.
– 1 HpaI site. • Fine the 11,490bp
– 1 SspI site and the 805bp as
reference.
74. Fig. 18-6 Signal
NUCLEUS
Chromatin
Chromatin modification
DNA
Gene available
for transcription
Gene
Transcription
RNA Exon
Primary transcript
Intron
RNA processing
Tail
Cap mRNA in nucleus
Transport to cytoplasm
CYTOPLASM
mRNA in cytoplasm
Translation
Degradation
of mRNA
Polypeptide
Protein processing
Active protein
Degradation
of protein
Transport to cellular
destination
Cellular function
75. Fig. 18-8-1
Poly-A signal
sequence
Enhancer Proximal
Termination
(distal control elements) control elements region
Exon Intron Exon Intron Exon
DNA
Upstream Downstream
Promoter
76. Fig. 18-8-2
Poly-A signal
sequence
Enhancer Proximal
Termination
(distal control elements) control elements region
Exon Intron Exon Intron Exon
DNA
Upstream Downstream
Promoter Transcription
Primary RNA Exon Intron Exon Intron Exon
Cleaved 3 end
transcript 5 of primary
transcript
Poly-A
signal
77. Fig. 18-8-3
Poly-A signal
sequence
Enhancer Proximal
Termination
(distal control elements) control elements region
Exon Intron Exon Intron Exon
DNA
Upstream Downstream
Promoter Transcription
Primary RNA Exon Intron Exon Intron Exon
Cleaved 3 end
transcript 5 of primary
RNA processing transcript
Intron RNA Poly-A
signal
Coding segment
mRNA 3
Start Stop
5 Cap 5 UTR codon codon 3 UTR Poly-A
tail
78. Fig. 18-9-1
Activators Promoter
Gene
DNA
Enhancer Distal control TATA
element box
79. Fig. 18-9-2
Activators Promoter
Gene
DNA
Enhancer Distal control TATA
element box
General
transcription
factors
DNA-bending
protein
Group of
mediator proteins
80. Fig. 18-9-3
Activators Promoter
Gene
DNA
Enhancer Distal control TATA
element box
General
transcription
factors
DNA-bending
protein
Group of
mediator proteins
RNA
polymerase II
RNA
polymerase II
Transcription
initiation complex RNA synthesis
81. Fig. 18-10
Enhancer Promoter
Control Albumin gene
elements
Crystallin gene
LIVER CELL LENS CELL
NUCLEUS NUCLEUS
Available
activators Available
activators
Albumin gene
not expressed
Albumin gene
expressed
Crystallin gene
not expressed
Crystallin gene
expressed
(a) Liver cell (b) Lens cell
82. Fig. 18-2
Precursor
Feedback
inhibition
trpE gene
Enzyme 1
trpD gene
Regulation
of gene
expression
Enzyme 2 trpC gene
trpB gene
Enzyme 3
trpA gene
Tryptophan
(a) Regulation of enzyme (b) Regulation of enzyme
activity production
83. Fig. 18-3a
trp operon
Promoter Promoter
Genes of operon
DNA trpR trpE trpD trpC trpB trpA
Regulatory Operator
gene Start codon Stop codon
3
mRNA RNA mRNA 5
5 polymerase
E D C B A
Protein Inactive Polypeptide subunits that make up
repressor enzymes for tryptophan synthesis
(a) Tryptophan absent, repressor inactive, operon on
84. Fig. 18-3b-1
DNA
No RNA made
mRNA
Protein Active
repressor
Tryptophan
(corepressor)
(b) Tryptophan present, repressor active, operon off
85. Fig. 18-3b-2
DNA
No RNA made
mRNA
Protein Active
repressor
Tryptophan
(corepressor)
(b) Tryptophan present, repressor active, operon off
86. Fig. 18-4a
Regulatory Promoter
gene
Operator
DNA lacI lacZ
No
RNA
made
3
mRNA RNA
5 polymerase
Active
Protein repressor
(a) Lactose absent, repressor active, operon off
139. Fig. 20-12
TECHNIQUE
DNA Primer Deoxyribonucleotides Dideoxyribonucleotides
(template strand) (fluorescently tagged)
dATP ddATP
dCTP ddCTP
dTTP ddTTP
DNA
polymerase dGTP ddGTP
DNA (template Labeled strands
strand)
Shortest Longest
Direction
of movement Longest labeled strand
of strands
Detector
Laser
Shortest labeled strand
RESULTS Last base
of longest
labeled
strand
Last base
of shortest
labeled
strand
140. Fig. 20-12a
TECHNIQUE
DNA Primer Deoxyribonucleotides Dideoxyribonucleotides
(template strand) (fluorescently tagged)
dATP ddATP
dCTP ddCTP
DNA dTTP ddTTP
polymerase dGTP ddGTP
141. Fig. 20-12b
TECHNIQUE
DNA (template Labeled strands
strand)
Shortest Longest
Direction
of movement Longest labeled strand
of strands
Detector
Laser
Shortest labeled strand
RESULTS Last base
of longest
labeled
strand
Last base
of shortest
labeled
strand