Presentació utilitzada pel David Torrents en laMesa "Les Dades Curen" de les Jornades Big Data Institucions Sector Públic celebrada el 18 d'abril de 2017 per Iniciativa Barcelona Open Data a ESADE
The Hive Think Tank: Machine Learning Applications in Genomics by Prof. Jian ...The Hive
In this The Hive Think Tank talk, Professor Jian Ma introduces machine learning methods that can be used to help tackle some of the most intriguing questions in genomics and biomedicine. He discusses the research projects in his group to study genome structure and function, including algorithms to unravel complex genomic aberrations in cancer genomes and gene regulatory principles encoded in our genome, by utilizing
probabilistic graphical models and deep neural network techniques. The knowledge obtained from such computational methods can greatly enhance our ability to understand disease genomes.
Anatomy of an Entrepreneur - Rice Alliance July 2010Marc Nathan
This session will identify the characteristics, attributes, and habits of creative, successful entrepreneurs. Find out what it takes to be a successful entrepreneur and how to fill your experience gap.
Presentació utilitzada pel David Torrents en laMesa "Les Dades Curen" de les Jornades Big Data Institucions Sector Públic celebrada el 18 d'abril de 2017 per Iniciativa Barcelona Open Data a ESADE
The Hive Think Tank: Machine Learning Applications in Genomics by Prof. Jian ...The Hive
In this The Hive Think Tank talk, Professor Jian Ma introduces machine learning methods that can be used to help tackle some of the most intriguing questions in genomics and biomedicine. He discusses the research projects in his group to study genome structure and function, including algorithms to unravel complex genomic aberrations in cancer genomes and gene regulatory principles encoded in our genome, by utilizing
probabilistic graphical models and deep neural network techniques. The knowledge obtained from such computational methods can greatly enhance our ability to understand disease genomes.
Anatomy of an Entrepreneur - Rice Alliance July 2010Marc Nathan
This session will identify the characteristics, attributes, and habits of creative, successful entrepreneurs. Find out what it takes to be a successful entrepreneur and how to fill your experience gap.
GREEN CURRY DESIGN is a combine of passionate individuals from diverse fields of creative communication providing effective design solutions and products that balance form & function with usability and delight. We have had the privilege to work with and provide design solutions to a large spectrum of industries - NGOs to multi-nationals; educational institutions to corporate organisations. Our services are spread over various forms of design and communication - print, motion, web, architectural.
We are excited with the possibilities of exploring the ever-so-evolving design languages and are joined by our partners on this journey. Our combine has been growing in partnership with web experts, digital solutions experts, photographers, film makers, animators and architects.
This presentation showcases some of our works.
3D Printing Basics: Going From Bytes To AtomsJeff MacDonald
This presentation will take you through the very basic concepts of 3D printing. This is a visual deck, with not a lot of explanation on each slide, so feel free to ask me questions if you have any. Images are not mine. Please use for education purposes.
GREEN CURRY DESIGN is a combine of passionate individuals from diverse fields of creative communication providing effective design solutions and products that balance form & function with usability and delight. We have had the privilege to work with and provide design solutions to a large spectrum of industries - NGOs to multi-nationals; educational institutions to corporate organisations. Our services are spread over various forms of design and communication - print, motion, web, architectural.
We are excited with the possibilities of exploring the ever-so-evolving design languages and are joined by our partners on this journey. Our combine has been growing in partnership with web experts, digital solutions experts, photographers, film makers, animators and architects.
This presentation showcases some of our works.
3D Printing Basics: Going From Bytes To AtomsJeff MacDonald
This presentation will take you through the very basic concepts of 3D printing. This is a visual deck, with not a lot of explanation on each slide, so feel free to ask me questions if you have any. Images are not mine. Please use for education purposes.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
1. 1
G C G G G C G A T G G T C T C T G G C T T G A G G G A C A G G A T G G A G G G G A G A C T G T C T G A G G A T G G A C A A A G C T G G A G G G A A A C A G C C A A T T
G C A A A G G C A G G A G G G C G G A A G G G G G A G G G G A G A G G T G G G A T C A G C A C T G G T A T A G A C A G G C G G T G C T G C A G C C C A G C T C C T C T
C T C T C C T C T G C C T C C T G C C C T C A G G C C C C T T C G A A G G C C C G A A T T A C C A C A T C G C T C C C A G A T G G G T G T A C C A C C T C A C C A G T
G T C T G G A T G A T C T T T G T G G T C A T T G C A T C C G T C T T C A C A A A T G G G C T T G T G C T G G C G G C C A C C A T G A A G T T C A A G A A G C T G C G
C C A C C C G C T G A A C T G G A T C C T G G T G A A C C T G G C G G T C G C T G A C C T G G C A G A G A C C G T C A T C G C C A G C A C T A T C A G C G T T G T G A
A C C A G G T C T A T G G C T A C T T C G T G C T G G G C C A C C C T A T G T G T G T C C T G G A G G G C T A C A C C G T C T C C C T G T G T G G T A A G C C A G T C
G G G G C C C A G G C T C G G C G G A A A C C A C T C A T T C A C C C T G C A A G C C C C T C C G G C C A C C T C A T G A T G A T C G G G G C C C A G C T G C T C C T
G T A G G C C T G T C T C C C T C C A C A T C T G C G C C T C A C A T C C A T A T A C T G A A G G G T T C T G G A G G C T T C C A T C T G A A C A C T C A C A T T A A
A T T C A G C T C C C T T G A G T C A A A C A T A C C C T G A G T T C C T A C T C T T G A G T C A G G C T C T G C C C G G G G A C A G C C A G T T T G G A G C T G T G
G G G C T G G T G T G G G A G G A G A C A G A T A C A G A G C T A G A C A A C C C C A G A A C A G T A G G G G G G C G G G G A C T C T G G G C A C C C T G G A C A G A
A C T C C C C T G C A A T T A G G G A T G C C T G C T C T T T C A G C T C G C C A G C A T C T G C T T T T C C C G G A G G A G A C A C A A T T C C C A G A T C C T C T
C C C C A T C C C C A T C A C T A A T A T C T C T G T G G G C C A C T A T T C C G C T C A G G T C A G G A G A C A G T G G C G G A G A G G T A C T A G C G T G C C A G
G C T C T G T G C T A A G G A G G G G G C C C T A T A G C C A G A C G G C A A C C A C A C A G T A C C A T C A T C A G T C C T C T C A G A C A A G A A G G G G C C T G
G G G C A G G T G G T G G A G G A G C G G C T G G G A G C A G T T T G T G G T T C G A G T G G A T A G A G T A C C A C C A A G C A G C C G T G G C T G C T G G A C A C
G A G G T G G G C A G G C C C A G G T C T C A G A G G C C T C A G A C G T C A T G C C C A G G A G C T G G G A C T T T C T T T C A G G A G G A G G A G A C C C C A C A
T C C A G C A G C A G C A G C T C C T G C T C T T G C C T C C C C A C C A C T C T T A G C A G C C T C C C C A A C C C C A C C C C G T T A A C T G C C T C A A A T T G
T A C C C A C G A T G G C C C A G A C C A G A G A G G G T G C T T G T C C A A G T C C C G G C A C T A C C C C G A T A G T G T A G A A G G G G A G C C A A G G G A A G
G T C A G G C A G A G A A G G T C C A T C C C C G G G T C C G A G T G C T C T C T G C A G C A G G C A T G G C C T C G G T G G T C A C A C G A C C C T T C C C G A G T
G C C C C C C T G C A T C T C C G C C C A C G T C T G T C T C C G T T T C T G C C A T G G T C T C C C G C T C A C C C T T G C C T C T G C T C A T G G T C T G T T C T
T G G G T C A G T C A G G T G C C A A G C A G C C A G C A C T T C C C C A C C A C T T T T G G T C C A C G G A T G C C C T T G G C C A T C T G G G A A G C C T G T G G
A C C C C A T C T C A G G A G A A T T T T T G C A A A C G C A T A A A A T G A G A C C C A T A G G A T T A C A A A G G C A G C A A A T T A T A C T G A A A T A C A G T
T A T C A A A G T A T T A A A C A T T C A T C A G T A A C A T A G T C T T T A G T T A A A A G C A T T T A C T G G C C A G G C T C A T A C C T G T A A T C C C A G C A
C T T T G G G A G G C T G A G G T G G G A G G A C T G C T T G C C T C C A A G A G T T T G A G A C C A G C C T G G G C A A C A T A G T G A G A C C T C T T C T C T A C
A A C A A A T A A A A A C A G C T G G G C G T G G T G G C A C A C C A G T A G T C C C A G C T A C T C A G G A G G C T C A G G C G G G A G G A T C G C T T G A G C T C
T G G A G G T C A A G G C T G C A G T G A G C T A T G A T G G C A C C A C T G C A C T C A G C C T G G G C A A C A G A G T G A G A T T C T G T C T C A A A A A G T A A
A T A A A A A T A A A A G C A T G T G T T A A A C G T A T T A G T G A C A C C A C T C A G T A T T A A G G T A T T A A A T A A C A G G A T C C C G C C T G A C A A C C
A C T G T T A T T T C A G A G T A G T G A T G A A C A T A A G T G G T A T T C G A A C T C T C T G C C A C C T C T A T G A A T T G A C A G G A A A A C A T C T G T G A
C C T C T C T T G C T G A C C G A G T C A C G G G T A C T G C T A A T A C T G C C A C G T T C A T A A T G G A A G G A A A T G T C C A G T G T C T G T T C G A G G T T
G G T G G A A A G A A A G A T G T C G T T T T T T C C A C C T C A G T C C G T G G A G C C C T G A A T T C T G T G T G C A G A C G T T T G G G G T C T A A G C A G G A
C A G T G G G A A G C T T T G C T T C C C A C C T T T G C T T T G G C T C A A A G C C C T C A T C T G T C T G C T C T C C C C A T A G G G A T C A C A G G T C T C T G
G T C T C T G G C C A T C A T T T C C T G G G A G A G A T G G A T G G T G G T C T G C A A G C C C T T T G G C A A T G T G A G A T T T G A T G C C A A G C T G G C C A
T C G T G G G C A T T G C C T T C T C C T G G A T C T G G T C T G C T G T G T G G A C A G C C C C G C C C A T C T T T G G T T G G A G C A G G T A A G G G T G C G A G
G A C G C A A G A T G G A G T G G G C A G G G T C A G A C T C T G T G A C C T T A A G G C A A A T C A C T T C C T T T C T C T G G G C C C C T C T G A G C G T G C A A
T G T C T A T C A A T G T A T G A A T G T G G C T G C A A C A T A G G A A A G G C T C T G T G G T C C C C G A A C C T C T G G A A A C A T A T T T A T C C C A A G C A
C G A T C A G G T C A C A G G C G C A C A C G G A G C T C A G G C C A T C A G C A C A G C T G T C A G T G A A C G C A T A G C G T G T T T G C A T T C C A G G T C T C
T T T C T T G C A C A C G C T G C C G C A C C A C G C C C C C C A C C T T T C A G A G G C T G C T T G G G T C A T A G A T C C A C C T G G G C C T A C A G A G C A C A
T G T C C T G G C C A G G C C A A G C A A G T G G C T C A A A T G T T T G A T T G G A G T G G A C T G G G T G G G A C A G C A T T T C A C T G T T T T A T C G A C A A
G C T C G T G A A T A A G T T C T C G T G G T G T T T G G A G A G G G A A T G T T C T T T C C T C G A G A A C G T T C C A C A A T T C T A G G A A A C A A A C C T T G
T G G A A G C C T G T C T C T G T C T C C C G C C C T C C T C A T G C C G C C A T G C C C C A C A C A G C T G C C C G T T A T C A A A C A T G T G T G G T G A G C T G
A C C C T G G T G G A G G C T C T C C C G C G G G T T A T C T C A T T T A A T C C T C C A G G C C A C T A A G T G A G C A G G G C C C T T T A T T T C A G T C A T G G
2. 2
G C G G G C G A T G G T C T C T G G C T T G A G G G A C A G G A T G G A G G G G A G A C T G T C T G A G G A T G G A C A A A G C T G G A G G G A A A C A G C C A A T T
G C A A A G G C A G G A G G G C G G A A G G G G G A G G G G A G A G G T G G G A T C A G C A C T G G T A T A G A C A G G C G G T G C T G C A G C C C A G C T C C T C T
C T C T C C T C T G C C T C C T G C C C T C A G G C C C C T T C G A A G G C C C G A A T T A C C A C A T C G C T C C C A G A T G G G T G T A C C A C C T C A C C A G T
G T C T G G A T G A T C T T T G T G G T C A T T G C A T C C G T C T T C A C A A A T G G G C T T G T G C T G G C G G C C A C C A T G A A G T T C A A G A A G C T G C G
C C A C C C G C T G A A C T G G A T C C T G G T G A A C C T G G C G G T C G C T G A C C T G G C A G A G A C C G T C A T C G C C A G C A C T A T C A G C G T T G T G A
A C C A G G T C T A T G G C T A C T T C G T G C T G G G C C A C C C T A T G T G T G T C C T G G A G G G C T A C A C C G T C T C C C T G T G T G G T A A G C C A G T C
G G G G C C C A G G C T C G G C G G A A A C C A C T C A T T C A C C C T G C A A G C C C C T C C G G C C A C C T C A T G A T G A T C G G G G C C C A G C T G C T C C T
G T A G G C C T G T C T C C C T C C A C A T C T G C G C C T C A C A T C C A T A T A C T G A A G G G T T C T G G A G G C T T C C A T C T G A A C A C T C A C A T T A A
A T T C A G C T C C C T T G A G T C A A A C A T A C C C T G A G T T C C T A C T C T T G A G T C A G G C T C T G C C C G G G G A C A G C C A G T T T G G A G C T G T G
G G G C T G G T G T G G G A G G A G A C A G A T A C A G A G C T A G A C A A C C C C A G A A C A G T A G G G G G G C G G G G A C T C T G G G C A C C C T G G A C A G A
A C T C C C C T G C A A T T A G G G A T G C C T G C T C T T T C A G C T C G C C A G C A T C T G C T T T T C C C G G A G G A G A C A C A A T T C C C A G A T C C T C T
C C C C A T C C C C A T C A C T A A T A T C T C T G T G G G C C A C T A T T C C G C T C A G G T C A G G A G A C A G T G G C G G A G A G G T A C T A G C G T G C C A G
G C T C T G T G C T A A G G A G G G G G C C C T A T A G C C A G A C G G C A A C C A C A C A G T A C C A T C A T C A G T C C T C T C A G A C A A G A A G G G G C C T G
G G G C A G G T G G T G G A G G A G C G G C T G G G A G C A G T T T G T G G T T C G A G T G G A T A G A G T A C C A C C A A G C A G C C G T G G C T G C T G G A C A C
G A G G T G G G C A G G C C C A G G T C T C A G A G G C C T C A G A C G T C A T G C C C A G G A G C T G G G A C T T T C T T T C A G G A G G A G G A G A C C C C A C A
T C C A G C A G C A G C A G C T C C T G C T C T T G C C T C C C C A C C A C T C T T A G C A G C C T C C C C A A C C C C A C C C C G T T A A C T G C C T C A A A T T G
T A C C C A C G A T G G C C C A G A C C A G A G A G G G T G C T T G T C C A A G T C C C G G C A C T A C C C C G A T A G T G T A G A A G G G G A G C C A A G G G A A G
G T C A G G C A G A G A A G G T C C A T C C C C G G G T C C G A G T G C T C T C T G C A G C A G G C A T G G C C T C G G T G G T C A C A C G A C C C T T C C C G A G T
G C C C C C C T G C A T C T C C G C C C A C G T C T G T C T C C G T T T C T G C C A T G G T C T C C C G C T C A C C C T T G C C T C T G C T C A T G G T C T G T T C T
T G G G T C A G T C A G G T G C C A A G C A G C C A G C A C T T C C C C A C C A C T T T T G G T C C A C G G A T G C C C T T G G C C A T C T G G G A A G C C T G T G G
A C C C C A T C T C A G G A G A A T T T T T G C A A A C G C A T A A A A T G A G A C C C A T A G G A T T A C A A A G G C A G C A A A T T A T A C T G A A A T A C A G T
T A T C A A A G T A T T A A A C A T T C A T C A G T A A C A T A G T C T T T A G T T A A A A G C A T T T A C T G G C C A G G C T C A T A C C T G T A A T C C C A G C A
C T T T G G G A G G C T G A G G T G G G A G G A C T G C T T G C C T C C A A G A G T T T G A G A C C A G C C T G G G C A A C A T A G T G A G A C C T C T T C T C T A C
A A C A A A T A A A A A C A G C T G G G C G T G G T G G C A C A C C A G T A G T C C C A G C T A C T C A G G A G G C T C A G G C G G G A G G A T C G C T T G A G C T C
T G G A G G T C A A G G C T G C A G T G A G C T A T G A T G G C A C C A C T G C A C T C A G C C T G G G C A A C A G A G T G A G A T T C T G T C T C A A A A A G T A A
A T A A A A A T A A A A G C A T G T G T T A A A C G T A T T A G T G A C A C C A C T C A G T A T T A A G G T A T T A A A T A A C A G G A T C C C G C C T G A C A A C C
A C T G T T A T T T C A G A G T A G T G A T G A A C A T A A G T G G T A T T C G A A C T C T C T G C C A C C T C T A T G A A T T G A C A G G A A A A C A T C T G T G A
C C T C T C T T G C T G A C C G A G T C A C G G G T A C T G C T A A T A C T G C C A C G T T C A T A A T G G A A G G A A A T G T C C A G T G T C T G T T C G A G G T T
G G T G G A A A G A A A G A T G T C G T T T T T T C C A C C T C A G T C C G T G G A G C C C T G A A T T C T G T G T G C A G A C G T T T G G G G T C T A A G C A G G A
C A G T G G G A A G C T T T G C T T C C C A C C T T T G C T T T G G C T C A A A G C C C T C A T C T G T C T G C T C T C C C C A T A G G G A T C A C A G G T C T C T G
G T C T C T G G C C A T C A T T T C C T G G G A G A G A T G G A T G G T G G T C T G C A A G C C C T T T G G C A A T G T G A G A T T T G A T G C C A A G C T G G C C A
T C G T G G G C A T T G C C T T C T C C T G G A T C T G G T C T G C T G T G T G G A C A G C C C C G C C C A T C T T T G G T T G G A G C A G G T A A G G G T G C G A G
G A C G C A A G A T G G A G T G G G C A G G G T C A G A C T C T G T G A C C T T A A G G C A A A T C A C T T C C T T T C T C T G G G C C C C T C T G A G C G T G C A A
T G T C T A T C A A T G T A T G A A T G T G G C T G C A A C A T A G G A A A G G C T C T G T G G T C C C C G A A C C T C T G G A A A C A T A T T T A T C C C A A G C A
C G A T C A G G T C A C A G G C G C A C A C G G A G C T C A G G C C A T C A G C A C A G C T G T C A G T G A A C G C A T A G C G T G T T T G C A T T C C A G G T C T C
T T T C T T G C A C A C G C T G C C G C A C C A C G C C C C C C A C C T T T C A G A G G C T G C T T G G G T C A T A G A T C C A C C T G G G C C T A C A G A G C A C A
T G T C C T G G C C A G G C C A A G C A A G T G G C T C A A A T G T T T G A T T G G A G T G G A C T G G G T G G G A C A G C A T T T C A C T G T T T T A T C G A C A A
G C T C G T G A A T A A G T T C T C G T G G T G T T T G G A G A G G G A A T G T T C T T T C C T C G A G A A C G T T C C A C A A T T C T A G G A A A C A A A C C T T G
T G G A A G C C T G T C T C T G T C T C C C G C C C T C C T C A T G C C G C C A T G C C C C A C A C A G C T G C C C G T T A T C A A A C A T G T G T G G T G A G C T G
A C C C T G G T G G A G G C T C T C C C G C G G G T T A T C T C A T T T A A T C C T C C A G G C C A C T A A G T G A G C A G G G C C C T T T A T T T C A G T C A T G G
29. Know the Code…
By cleverly watching the results of short insertion/deletion
mutations alone or in combos, Crick et al. (1961) deduced
that viral DNA encodes proteins by a genetic code that is
triplet words each have 3 (or multiple thereof) letters.
tandem words abut with no overlap or comma/space*.
degenerate words outnumber meanings.
In this and later work, he and colleagues fully deciphered
this (handy if inefficient) code…and surmised that all known
life uses it or slight variants** on it (by ‘frozen accident’?).
*Caveats include introns, overlapping reading frames in some viruses, etc.
**In us, exceptions include mitochondrially encoded genes, and selenocysteines
encoded by dispersed sequence context.