This document provides an overview of the history and current methods of forensic DNA analysis. It discusses early methods like RFLP that required large DNA samples, the development of PCR that allowed analysis of smaller samples, and the current standard method using STR analysis of 13-15 loci that can determine a person's profile with a probability of 1 in 1 trillion. It covers DNA mixture interpretation challenges, the CODIS database system, and specialized techniques like mtDNA, Y-STR, and SNP analysis.
Interpretation of dna typing results and codis Neha Agarwal
An STR genotype is the allele, in the case of a homozygote, or alleles, in the
case of a heterozygote, present in a sample for a particular locus and is normally
reported as the number of repeats present in the allele. A full sample genotype
or STR profi le is produced by the combination of all of the locus genotypes into
a single series of numbers. This profi le is what is entered into a case report or
a DNA database for comparison purposes to other samples.
Interpretation of dna typing results and codis Neha Agarwal
An STR genotype is the allele, in the case of a homozygote, or alleles, in the
case of a heterozygote, present in a sample for a particular locus and is normally
reported as the number of repeats present in the allele. A full sample genotype
or STR profi le is produced by the combination of all of the locus genotypes into
a single series of numbers. This profi le is what is entered into a case report or
a DNA database for comparison purposes to other samples.
Parental testing is considered one of the best ways to establish a biological parent child relation between individuals
Do you believe that your partner is currently
being unfaithful?
In this presentation you will get a deep insight on the most important step of DNA fingerprinting that is the Quantitation of DNA.
You will understand what is DNA quantitation and also about the different techniques of DNA quantitation.
FORENSIC DNA PROFILING: Strengths and LimitationsHezekiah Fatoki
Forensic science is defined as the application of scientific knowledge and experimentation to legal contentions, be they civil or criminal matters. DNA profiling (also called DNA typing or DNA fingerprinting) is a forensic techniques used to identify individuals by characteristics of their DNA in crime cases. DNA profiling can be use to resolve paternal and ancestral issues. This process was built mainly on the knowledge of two scientific breakthroughs. First is the Polymerase Chain Reaction (PCR) which was conceived by Kary Mullis in 1983 at Cetus Corporation, USA. Second is the Restriction Fragment Length Polymorphism (RFLP) analysis of repeated DNA sequences which was discovered by Professor Sir Alec Jeffreys in 1985 at the University of Leicester, UK. The strengths and limitations of the current and emerging forensic DNA profiling are the focus of this seminar. It is my expectation that the newly proposed synthetic human genome project will aid the strength of this process in the future.
State v. Mott: A Case Study in Forensic Sciencegcpolando
Presentation to Manchester College\'s Science Department; describes the legal aspects of forensic science in a trial presented by my elected prosecutor, Curtis Hill, and chief deputy, Vicki Becker.
Genetic Markers and their importance in ForensicsMrinal Vashisth
A description of Genetic Markers and their applications with focus on Forensic Analysis. Complimentary methods such as RNA Profiling are also discussed.
Parental testing is considered one of the best ways to establish a biological parent child relation between individuals
Do you believe that your partner is currently
being unfaithful?
In this presentation you will get a deep insight on the most important step of DNA fingerprinting that is the Quantitation of DNA.
You will understand what is DNA quantitation and also about the different techniques of DNA quantitation.
FORENSIC DNA PROFILING: Strengths and LimitationsHezekiah Fatoki
Forensic science is defined as the application of scientific knowledge and experimentation to legal contentions, be they civil or criminal matters. DNA profiling (also called DNA typing or DNA fingerprinting) is a forensic techniques used to identify individuals by characteristics of their DNA in crime cases. DNA profiling can be use to resolve paternal and ancestral issues. This process was built mainly on the knowledge of two scientific breakthroughs. First is the Polymerase Chain Reaction (PCR) which was conceived by Kary Mullis in 1983 at Cetus Corporation, USA. Second is the Restriction Fragment Length Polymorphism (RFLP) analysis of repeated DNA sequences which was discovered by Professor Sir Alec Jeffreys in 1985 at the University of Leicester, UK. The strengths and limitations of the current and emerging forensic DNA profiling are the focus of this seminar. It is my expectation that the newly proposed synthetic human genome project will aid the strength of this process in the future.
State v. Mott: A Case Study in Forensic Sciencegcpolando
Presentation to Manchester College\'s Science Department; describes the legal aspects of forensic science in a trial presented by my elected prosecutor, Curtis Hill, and chief deputy, Vicki Becker.
Genetic Markers and their importance in ForensicsMrinal Vashisth
A description of Genetic Markers and their applications with focus on Forensic Analysis. Complimentary methods such as RNA Profiling are also discussed.
According to Hardy (England,1908) and Weinberg (Germany,1909), gene and genotype frequency of a Mendelian population remain constant generation after generation unless there is selection,mutation,migration or random drift.
Moving Towards a Validated High Throughput Sequencing Solution for Human Iden...Thermo Fisher Scientific
Presented by Jennifer D. Churchill, PhD during a special Lunch and Learn session during the American Academy of Forensic Sciences (AAFS) 67th annual conference, February 2015. / Conclusions
• Robust panels of identity and ancestry SNPs
• Robust STR panel
• Whole genome mtDNA sequencing
• Highly informative
• Sensitive
• Quantitative – scaling comparison
• Low density chip is not necessarily a bad chip
• Wide range of density can still yield high quality data
• Based on results continue development and validation
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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.
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 5
Forensic
1. Forensic DNA Analysis
Criminalist Harry Klann,
DNA Technical Leader
DNA Detail
Los Angeles Police Department
Scientific Investigation Division
PowerPoint presentation by
Criminalist Carl Matthies
2. Objectives of Forensic
DNA Testing
s To link an individual to a crime
scene/criminal act
s To exonerate suspects
s To identify victims of mass
disasters
3. s A Brief History
s Contemporary Forensic DNA
Testing
s Casework Applications
s Questions?
4. Early 1980s: Restriction Fragment
Length Polymorphism (RFLP)
s Genetic variation in the distance
between restriction enzyme sites
s Template DNA digested by
enzymes, electrophoresed,
detected via Southern blotting
Sir Alec Jeffreys
s Power of discrimination in the
range of 106-108 for a six probe
analysis
6. Mid-1980s: The Colin Pitchfork Case
s Two young women raped and
murdered in Narborough, England
s 5,000 local men are asked to
provide blood/saliva samples
s 1st exoneration and conviction on
forensic DNA evidence
7. The Catch:
s RFLP testing requires a relatively
large amount of HMW DNA
(~50ng = thousands of cells)
s Not ideal for forensic evidence, in
which small, degraded samples
are common
8. PCR To The Rescue!
s Polymerase Chain Reaction =
molecular Xeroxing
s Three temperature phases, carried
out in a Thermal Cycler, replicate
or “amplify” the desired DNA
Dr. Kary Mullis
Eccentric Genius fragment(s)
9.
10. PCR (cont’d)
s First forensic application is the
DQα locus, later multi-plexed with
Polymarker™ loci using dot-blot
detection method
s Works with lower quantity (1-2ng),
lower quality samples
s Power of discrimination goes from
102-106...not good enough for
databasing
11. The Current Method of Choice:
Autosomal Short Tandem Repeats
s Non-coding, tetranucleotide
sequences which vary greatly from
person to person in the number of
repeating units
s Requires <1ng of DNA to type
13-15 STR loci
s Power of discrimination ranges
from 1014-1023. World population is
109 so bring on the database!
13. The Process In a Nutshell
Amplified DNA samples are injected
into a capillary. Fluorescent tags on
the DNA fragments are excited by a
laser as they pass a window in the
capillary, the fluorescence is recorded
by a camera, and this signal is
converted into a “peak” by the
computer software.
16. STR data (cont’d)
STR TYPING SUMMARY SHEET
Date: DNA Analyst / Serial #: DR #:
9/24/1999 MATTHIES V9780 00-00-00001
Item # AMEL D3S1358 vWA FGA D8S1179 D21S11 D18S51 D5S818 D13S317 D7S820 D16S539 THO1 TPOX
X, Y 17 8, 10
25(S) 15, 17 23, 26 14, 15 26 12, 15 10 9, 13 9, 10 8, 9 9, 10
X, Y 17 8, 10
X 15, 17 28, 11
25(E) 16, 18 19, 26 15 14, 16 8, 13 12 11, 12 7, 8 11
X 15, 17 32.2 11
X 15, 17 28, 11
VICTIM 16, 18 19, 26 15 14, 16 8, 13 12 11, 12 7, 8 11
X 15, 17 32.2 11
X, Y 17 8, 10
SUSPECT 15, 17 23, 26 14, 15 26 12, 15 10 9, 13 9, 10 8, 9 9, 10
X, Y 17 8, 10
“The DNA profile obtained from Item 25(S) matches the
DNA profile of the suspect. The combination of genetic
marker types exhibited by Item 25(S) and the suspect
occurs in approximately one in one hundred quadrillion
(1017) individuals…”
17. How are these astronomical figures derived?
The product rule: combined probability of a series of independent
events is determined by multiplying the probabilities of each event.
STR loci are inherited independently (unlinked)
Homozygous loci: p2 (same allele inherited from mother and father)
Heterozygous loci: 2pq (either allele could be inherited from either
parent)
p(17)2 x 2p(15)q(17) x 2p(23)q(26)….
(.223)2 x 2(.083)(.25) x 2(.14)(.02) = .000013, which is equivalent
to a probability of one in 76,000 using just 3 of the 13 loci!
18. STR Artifacts
-A (“minus A”): Incomplete addition of
nucleotide ‘A’ by DNA polymerase;
results in a peak that is one base pair
smaller than allele peak.
19. STR Artifacts
Stutter: Slippage of DNA polymerase;
results in a peak that is four base pairs
(one repeat unit) smaller than allele peak.
22. DNA Mixtures
When more than one source of DNA is detected in a sample,
assignment of genotypes becomes more difficult.
23. Degraded/Trace DNA Samples
Larger alleles “drop-out” when template DNA is low in
quantity or quality, reducing certainty of genotypes.
24. The Combined DNA Index System
(CoDIS)
s A database of DNA profiles from
violent felons and crime scene
samples
s Laws concerning who is eligible for
the database vary from state to
state
s Database currently contains about
2,038,470 felons and 93,956 crime
scene profiles (19,00 hits so far)
25. The Mystical Power of CoDIS
s Extremely powerful investigative
tool, linking crimes, and pulling
suspects out of thin air!
s Can prevent, as well as solve
crimes!
26. The Dark Side of CoDIS
(What the FBI doesn’t want you to know.)
s DNA mixtures and degraded DNA
profiles have lead to spurious
matches
s Stringent laws explicitly permit
databasing innocent people
s Adding arrestees to database
violates presumption of innocence
s However, the prosecution rate on
case to offender matches is
shockingly low! (~10%)
27. LAPD CoDIS Statistics
s 177/142 Case-to-Offender
matches
s 100 Case-to-Case hits with 42 as
yet unidentified suspects
s 28 DA “rejects”
s 9 Convictions; charges filed in 28
more; 4 defendants plead guilty
s 280 investigations aided…
30. Mitochondrial DNA (mtDNA)
Pros
s Single-cell sensitivity because each cell
contains ~1000 mitochondria
s Especially useful for shed hairs, burnt
remains
s Can be used to establish kinship directly
because entire complement of mtDNA is
maternally inherited
31. Mitochondrial DNA (mtDNA)
Cons
s Single-cell sensitivity because each cell
contains ~1000 mitochondria = very high
contamination risk!
s Heteroplasmy - more than one mtDNA type
manifesting in different tissues in the same
individual
s Lower power of discrimination - maternal
relatives all share the same mtDNA
32. Y-STRs
Problem:
s ~99% of violent crimes are committed by
men
s DNA Mixtures of male suspect and female
victim can pose an analytical challenge,
especially when the female contribution is
much greater than the male = preferential
amplification
33. Y-STRs
Solution:
s Test for markers found only on the Y-
chromosome. Only male DNA is amplified!
34.
35. Y-STRs
“Khan” Argument
s Lower power of discrimination - paternal
relatives all share the same Y-STR
haplotype (“Wicked Uncle Ernie” Defense)
s 10% of Central Asian males share the same
Y-STR haplotype, thought to belong to
Genghis Khan
36. Single Nucleotide Polymorphisms (SNPs)
s Point mutations (base substitutions) found in
1% or more of the population
s 1.8 million identified in human genome
s Detected on micro-array plates with
fluorescent tags (all or nothing response)
37. SNPs (cont’d)
s ~50 SNPs provides same power of
discrimination as 13 STR loci
s Certain SNPs used as predictors of
ancestry/ethnicity by a private sector lab
(DNA Witness)
38. Flawed logic in the use of SNPs for predicting ancestry
Scenario 1:
SNP profile inconsistent with subject’s
reported ancestry ¿ subject’s family history is
inaccurate ¿ results are indisputable
Scenario 2:
SNP profile inconsistent with subject’s
physical appearance ¿ ad hoc human
migration explanation ¿ results are
indisputable
39. Other SNP Flaws
s Privacy issues - unlike STRs, SNPs can be
correlated with susceptibility/resistance to
diseases
s Requires a relatively large quantity of DNA for
robust assay
Editor's Notes
Mass disasters can be either manmade (9/11 act of terrorism) or natural (2005 Indian Ocean Tsunami, 295,000 dead)
“Please just call me Alec.”
“ The Blooding” by Joseph Wambaugh, retired LAPD Sergeant
DNA mixtures can be tricky; requiring close examination of the electronic data, the questioned profile, and the offender “match” profiles. For example, an unknown mixture profile with three alleles at the D21S11 locus, ex. (28, 30, 31) would “hit” on (28, 28), (28, 30), (28, 31), (30, 30), (30, 31), and (31, 31). A total of 6 genotypes. If we designate an obligate or required allele (+), (28, 30+, 31)* would now hit only on the following genotypes: (28, 30), (30, 30), and (30, 31). We have reduced the number of hits at the D21S11 locus by half. Assigning obligate alleles at as many loci as possible can reduce the number of spurious hits to the offender database. * In this example, which could be a vaginal swab taken from the victim of a sexual assault, the victim was determined to be a (28, 31) at D21S11. Therefore, the 30 allele is foreign to the victim and presumed to be from the suspect.
177 cases matched to 142 offenders California State DNA Index System (SDIS): 304,817 offender STR profiles 9,633 forensic STR profiles
Scenario 2: LAPD Detective Tom M., SNPs 62% European, but appears SE Asian/Indian.