This document discusses various types of informatics including bioinformatics, chemoinformatics, and pharmaceutical databases. It defines bioinformatics as the acquisition, storage, analysis and dissemination of biological data, especially DNA and protein sequences. Some applications of bioinformatics mentioned include genome annotation, protein structure prediction, and disease diagnostics. Chemoinformatics focuses on the collection, storage, analysis and manipulation of chemical data to aid in drug design and other chemistry fields. The document also discusses ADME, chemical, biochemical and pharmaceutical databases and their uses and tools.
Quantifying the content of biomedical semantic resources as a core for drug d...Syed Muhammad Ali Hasnain
The biomedical research community is providing large-scale data sources to enable knowledge discovery from the data alone, or from novel scientific experiments in combination with the existing knowledge.
Increasingly semantic Web technologies are being developed and used including ontologies, triple stores and combinations thereof.
The amount of data is constantly increasing as well as the complexity of data.
Since the data sources are publicly available, the amount of content can be derived giving an overview on the accessible content but also on the state of the data representation in comparison to the existing content.
For a better understanding of the existing data resources, i.e.\ judgments on the distribution of data triples across concepts, data types and primary providers, we have performed a comprehensive analysis which delivers an overview on the accessible content for semantic Web solutions.
It can be derived that the information related to genes, proteins and chemical entities form the center, whereas the content related to diseases and pathways forms a smaller portion.
Further data relates to dietary content and specific questions such as cancer prevention and toxicological effects of drugs.
The internet continues to offer increased access to chemistry data that may be of value to scientists interested in populating systems containing reference toxicology data as well as to provide data for the development of predictive models. This presentation will give an overview of some of the various sources of data available via the internet, provide an overview of some of the challenges associated with gathering high-quality data and discuss methods by which to mesh together disparate data sources.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data.
Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics
WHAT IS BIOINFORMATICS?
Computational Biology/Bioinformatics is the application of computer sciences and allied technologies to answer the questions of Biologists, about the mysteries of life. It has evolved to serve as the bridge between:
Observations (data) in diverse biologically-related disciplines and
The derivations of understanding (information)
APPLICATIONS OF BIOINFORMATICS
Computer Aided Drug Design
Microarray Bioinformatics
Proteomics
Genomics
Biological Databases
Phylogenetics
Systems Biology
Bioinformatics Introduction and Use of BLAST ToolJesminBinti
Hi, I am Jesmin, studying MCSE. I think this file will help you if you want to know the basic information about Bioinformatics and the use of BLAST tool. The BLAST tool is the tool that matches the sequences of DNA,RNA and proteins.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Quantifying the content of biomedical semantic resources as a core for drug d...Syed Muhammad Ali Hasnain
The biomedical research community is providing large-scale data sources to enable knowledge discovery from the data alone, or from novel scientific experiments in combination with the existing knowledge.
Increasingly semantic Web technologies are being developed and used including ontologies, triple stores and combinations thereof.
The amount of data is constantly increasing as well as the complexity of data.
Since the data sources are publicly available, the amount of content can be derived giving an overview on the accessible content but also on the state of the data representation in comparison to the existing content.
For a better understanding of the existing data resources, i.e.\ judgments on the distribution of data triples across concepts, data types and primary providers, we have performed a comprehensive analysis which delivers an overview on the accessible content for semantic Web solutions.
It can be derived that the information related to genes, proteins and chemical entities form the center, whereas the content related to diseases and pathways forms a smaller portion.
Further data relates to dietary content and specific questions such as cancer prevention and toxicological effects of drugs.
The internet continues to offer increased access to chemistry data that may be of value to scientists interested in populating systems containing reference toxicology data as well as to provide data for the development of predictive models. This presentation will give an overview of some of the various sources of data available via the internet, provide an overview of some of the challenges associated with gathering high-quality data and discuss methods by which to mesh together disparate data sources.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data.
Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics
WHAT IS BIOINFORMATICS?
Computational Biology/Bioinformatics is the application of computer sciences and allied technologies to answer the questions of Biologists, about the mysteries of life. It has evolved to serve as the bridge between:
Observations (data) in diverse biologically-related disciplines and
The derivations of understanding (information)
APPLICATIONS OF BIOINFORMATICS
Computer Aided Drug Design
Microarray Bioinformatics
Proteomics
Genomics
Biological Databases
Phylogenetics
Systems Biology
Bioinformatics Introduction and Use of BLAST ToolJesminBinti
Hi, I am Jesmin, studying MCSE. I think this file will help you if you want to know the basic information about Bioinformatics and the use of BLAST tool. The BLAST tool is the tool that matches the sequences of DNA,RNA and proteins.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
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.
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.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
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.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
2. • INTRODUCTION TO INFORMATICS
• DEFINATION AND APPLICATION OF
BIOINFORMATICS
CHEMOINFORMATICS
ADME DATABASE
CHEMICAL DATABASE
BOCHEMICAL DATABASE
PHARMACEUTICAL DATABASE
3. Informatics is the study of the structure,
behaviour, and interactions of natural and
engineered computational systems.
5. TYPES OF INFORMATICS:-
Clinical informatics.
Clinical research informatics.
Consumer health informatics.
Dental informatics.
Mental health informatics.
Nursing informatics
6.
7. DEFINITION :-
Bioinformatics is a subdiscipline of biology and computer science concerned
with the acquisition, storage, analysis, and dissemination of biological data, most
often DNA and amino acid sequences.
13. DEFINITION :-
Cheminformatics is a relatively new field of information
technology that focuses on the collection, storage, analysis, and
manipulation of chemical data
14. APPLICATIONS OF CHEMOINFORMATICS:-
To Detect Chemical Information
All fields of chemistry prediction of the physical, chemical, or biological
properties of compounds
Analytical Chemistry analysis of data from analytical chemistry to make
predictions on the quality, origin, and age of the investigated objects
Organic Chemistry
Drug Design
a) Identification of new lead structures
b) Optimization of lead structures
c) Establishment of quantitative structure activity relationships
d) Comparison of chemical libraries
e) Definition and analysis of structural diversity planning of
chemical libraries
f) Analysis of high-throughput data
g) Docking of a ligand into a receptor
h) de novo design of ligands .
18. DATABASE:-
A database is an organized collection of data stored and accessed electronically.
Small databases can be stored on a file system, while large databases are hosted on
computer clusters or cloud storage.
WHAT IS ADME DATABASE?
An online database service that specializes in
pharmacokinetic information.
It contains more than 130,000 data on
metabolizing enzymes (mainly cytochrome
P450s) and transporters involved in drug
absorption, distribution, metabolism and
excretion.
19. APPLICATIONS OF ADME DATABASE:-
ADME Database provides human clinical drug interaction data in addition
to the existing in vitro inhibition data
22. A chemical database is a database specifically designed to
store chemical information. This information is about chemical
and crystal structures,spectra, reactions and syntheses, and
thermophysical data.
Chemical databases are becoming a powerful tool in drug
discovery. Database searches based on possible requirements
for biological activity can identify compounds that might be
suitable for further analysis or indicate novel ways to achieve
the desired activity.
DEFINITION:-
26. DEFINITION:-
The biological data base is also Known as
Biological data base
Biological databases are libraries of biological
sciences, collected from scientific experiments,
published literature, high-throughput experiment
technology, and computational analysis.
27. CLASSIFICATION OF BIOLOGICOL DATABASE
PRIMARY DATA
ex: Swiss-Prot and PIR for protein sequences
GenBank and DDBJ for genome sequences
Protein Databank for protein structures
SECONDARY DATA
ex:-SCOP at Cambridge University
CATH at the University College of London
PROSITE of the Swiss Institute of Bioinformatics
eMOTIF at Stanford
COMPOSITE DATA
30. DEFINITION:-
The Pharmaceutical Database is a service aimed at
professionals, containing harmonised and up-to-date
information about medicines and medicinal substances
for the purpose of prescribing and dispensing medicines.
The information in the Pharmaceutical Database must
be updated in the pharmacy and patient data systems on
the 1st and 15th day of each month.
31. Use of pharmaceutical data base:-
The Pharmaceutical Database can be used for the prescribing, dispensing
and reimbursing of medicines
The Pharmaceutical Database can also be used for the services referred to
in the Act on the Electronic Processing of Client Data in Social and Health Care
Services and for purposes related to the supply of medicines for healthcare
organisations