The document summarizes the human genome project which began in 1984 and took 15 years to complete at a cost of $3 billion. The project was led by Francis Collins and aimed to sequence the entire human genome consisting of 3.2 billion DNA base pairs. It worked towards finding all genes, enabling disease research, comparative genomics and more affordable genome sequencing. It also had an ethical, legal and social issues program to address discrimination and privacy concerns.
What is bioinformatics?
About human genome
Human genome project
Aim of human genome project
History
Sequencing Strategy
Benefits of Human Genome Project research
Disadvantages of human genome project
Conclusion
References
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What is bioinformatics?
About human genome
Human genome project
Aim of human genome project
History
Sequencing Strategy
Benefits of Human Genome Project research
Disadvantages of human genome project
Conclusion
References
Howdy! This is a fantastic biology literature review example that we've prepared for you. If you need more go to https://www.literaturereviewwritingservice.com/biology-literature-review-example-and-writing-tips/
A document containing extensive research on the Human Genome Project- inclding the history behind it , various landmarks in the study of genes and our genome , the scale of the project , the methods used and the new methods developed to successfully execute it and the vrious applications of its discoveries in science and industry today
The Human Genome Project (HGP) was an international scientific research project with the goal of determining the base pairs that make up human DNA, and of identifying and mapping all of the genes of the human genome from both a physical and a functional standpoint.
Human genome project is the coordinated , comprehensive and internat.pdfdeepua8
Human genome project is the coordinated , comprehensive and international effort with an
ultimate aim to map the entire genome by determining the complete nucleotide sequence of DNA
of each chromosome ( 22 autosomal and X and Y sex chromosome)
In US a project to map and sequence the human genome was proposed in 1986, and in 1988,
National Institute of Health directed by Francis Collins and US Department of Energy headed by
Arizona Patrick created a joint committee to develop a plan for the project. Human go Genome
Project was launched on October 1, 1990.
Purpose of human genome project : Different goals of human genome project are;
1. To determine the nucleotide sequence of 3 billion base pairs in human genome.
2. To store this genetic information obtained from sequencing g human genome in computer
databases .
3. To identify the functions of different genes.
4. To point out genes responsible for different kinds of genetic disorders .
5. To address ethical, legal, and social issues (ELSI) that may arise from this project.
Future research on human genome project stresses upon the aim to understand the genetic make
up of human species and to enhance the basic understanding about human genetics . The various
areas that could benefit from human genome project are;
1. Health care: Human genome project can provide vast amount of genetic information about the
genes responsible for genetic disorders which will help in preventing g inherited diseases.
2. Cancer: Efforts are in progress to determine genes that will cause reversion of cancerous cells
to normal cells.
Solution
Human genome project is the coordinated , comprehensive and international effort with an
ultimate aim to map the entire genome by determining the complete nucleotide sequence of DNA
of each chromosome ( 22 autosomal and X and Y sex chromosome)
In US a project to map and sequence the human genome was proposed in 1986, and in 1988,
National Institute of Health directed by Francis Collins and US Department of Energy headed by
Arizona Patrick created a joint committee to develop a plan for the project. Human go Genome
Project was launched on October 1, 1990.
Purpose of human genome project : Different goals of human genome project are;
1. To determine the nucleotide sequence of 3 billion base pairs in human genome.
2. To store this genetic information obtained from sequencing g human genome in computer
databases .
3. To identify the functions of different genes.
4. To point out genes responsible for different kinds of genetic disorders .
5. To address ethical, legal, and social issues (ELSI) that may arise from this project.
Future research on human genome project stresses upon the aim to understand the genetic make
up of human species and to enhance the basic understanding about human genetics . The various
areas that could benefit from human genome project are;
1. Health care: Human genome project can provide vast amount of genetic information about the
genes responsible for genetic d.
Richard's entangled aventures in wonderlandRichard 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 increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Scope and goals of Human genome project,M. Sc. Zoology, University of Mumbai
1.
2. The complete set of genes or genetic material present in a
cell or organism.
Genome sequence (3.2 billion/3.2 x 109 /32 crore basepairs)
3. Conceived in 1984; officially began in 1990.
IHGSC; 3 billion USD for 15 years.
Headed by Francis Collins
Celera Genomics (1998); Craig Venter.
Primary objective
4. Finding Genes in the human genome
Sequencing genome of model organisms
Mapping the chromosomes
Development of tools and databases
Development of ELSI program
7. Identification of genes
and their functions
Understanding genetic
disorders
Comparative genomics
Pharmacogenomics &
healthcare
1000 genomes project
1000$ genome project
ENCODE
HUPO
8. Privacy and fairness
design and conduct of genetic research
education of healthcare professionals, policy makers,
students, and the public
Discrimination (Loans, Insurance, etc.) [U.S. GINA act
2008]
Patenting
9. The Human Genome, by J. E. Richards & R. S. Hawley
Biotechnology, by Satyanarayana
https://www.genome.gov/10001772/#al-2
https://ghr.nlm.nih.gov/
The Evolving Genome Project: Current and Future Impact, by
Eric P. Hoffman
Principles of Genetics, by Simmons & Snustad
https://en.wikipedia.org/wiki
Molecular Biotechnology, by Glick & Pasternack
