Drugs Discovery and Development from Microbial Genome.pptxLunjapikai Haokip
Microbes have made a phenomenal contribution to the health and well-being of people throughout the world. In addition to producing many primary metabolites, such as amino acids, vitamins and nucleotides, they are capable of making secondary metabolites, which constitute half of the pharmaceuticals on the market today and provide agriculture with many essential products. This review centers on these beneficial secondary metabolites, the discovery of which goes back 80 years to the time when penicillin was discovered by Alexander Fleming.
BACTERIA IDENTIFICATION FROM MICROSCOPIC MORPHOLOGY USING NAÏVE BAYESijcseit
Great knowledge and experience on microbiology are required for accurate bacteria identification.
Automation of bacteria identification is required because there might be a shortage of skilled
microbiologists and clinicians at a time of great need. We propose an automatic bacteria identification
framework that can classify three famous classes of bacteria namely Cocci, Bacilli and Vibrio from
microscopic morphology using the Naïve Bayes classifier. The proposed bacteria identification framework
comprises two steps. In the first step, the system is trained using a set of microscopic images containing
Cocci, Bacilli, and Vibrio. The input images are normalized to emphasize the diameter and shape features.
Edge-based descriptors are then extracted from the input images. In the second step, we use theNaïve
Bayes classifier to performprobabilistic inference based on the input descriptors. 64 images for each class
of bacteria were used as the training setand 222 images consisting of the three classes of bacteria and
other random images such as humans and airplanes were used as the test set. There are no images
overlapped between the training set and the test set. The system was found to be able to accurately
discriminate the three classes of bacteria. Moreover, the system was also found to be able to reject images
that did not belong to any of the three classes of bacteria. The preliminary results demonstrate how a
simple machine learning classifier with a set of simple image-based features can result in high
classification accuracy. The preliminary results also demonstrate the efficacy and efficiency of our two-step
automatic bacteria identification approach and motivate us to extend this framework to identify a variety of
other types of bacteria.
Bacteria identification from microscopic morphology using naïve bayesijcseit
Great knowledge and experience on microbiology are required for accurate bacteria identification.
Automation of bacteria identification is required because there might be a shortage of skilled
microbiologists and clinicians at a time of great need. We propose an automatic bacteria identification
framework that can classify three famous classes of bacteria namely Cocci, Bacilli and Vibrio from
microscopic morphology using the Naïve Bayes classifier. The proposed bacteria identification framework
comprises two steps. In the first step, the system is trained using a set of microscopic images containing
Cocci, Bacilli, and Vibrio. The input images are normalized to emphasize the diameter and shape features.
Edge-based descriptors are then extracted from the input images. In the second step, we use theNaïve
Bayes classifier to performprobabilistic inference based on the input descriptors. 64 images for each class
of bacteria were used as the training setand 222 images consisting of the three classes of bacteria and
other random images such as humans and airplanes were used as the test set. There are no images
overlapped between the training set and the test set. The system was found to be able to accurately
discriminate the three classes of bacteria. Moreover, the system was also found to be able to reject images
that did not belong to any of the three classes of bacteria. The preliminary results demonstrate how a
simple machine learning classifier with a set of simple image-based features can result in high
classification accuracy. The preliminary results also demonstrate the efficacy and efficiency of our two-step
automatic bacteria identification approach and motivate us to extend this framework to identify a variety of
other types of bacteria.
introduction to Nanobiotechnology
what is nanotechnology
bionanotechnology
classical biotechnology industrial production using biological system
modern biotechnology from industrial processes to noval therapeutics
modern biotechnology immunological enzymatic and neucleic acid based technology
Dna based technology
self assembly and supramolecular chemistry
formation of ordered structure at nano scale
The pursuit of understanding cellular processes and their intricate interplay with external stimuli lies at the heart of modern biomedical research. In this context, assay development in cell culture has emerged as an indispensable tool, allowing scientists to investigate cellular responses, signalling pathways, drug effects, and disease mechanisms in a controlled and replicable environment. This essay delves into the significance of assay development in cell culture, its methodologies, applications, and contributions to advancing scientific knowledge.
This paper explores the complex field of synthetic biology, including its historical roots, guiding ideas, contemporary uses, and moral dilemmas raised by its groundbreaking discoveries.
ANALYSIS OF PROTEIN MICROARRAY DATA USING DATA MININGijbbjournal
Latest progress in biology, medical science, bioinformatics, and biotechnology has become important and
tremendous amounts of biodata that demands in-depth analysis. On the other hand, recent progress in data
mining research has led to the development of numerous efficient and scalable methods for mining
interesting patterns in large databases. This paper bridge the two fields, data mining and bioinformatics
for successful mining of biological data. Microarrays constitute a new platform which allows the discovery
and characterization of proteins.
Microbial Taxonomy - Dr. R Subashkumar, Associate Professor in Biotechnology, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore-641006
Beyond Metagenomics- Integration Of Complementary Approaches For The Study Of...guest5368597
Cubillos-Ruiz A, Junca H, Baena S, Venegas I, Zambrano MM. 2009. Beyond Metagenomics: Integration of complementary approaches for the study of microbial communities. In Metagenomics: Theory, Methods and Applications - Editor: Diana Marcos. Horizon Scientific Press. ISBN: 978-1-904455-54-7
Identification and Detection of Microorganism esraa alaa
Molecular detection of pathogens (molecular microbiology)
is a new, dynamic and progressive spinoff of classic microbiology. It plays an important role in those clinical situations when standard microbiology (relying on the successful cultivation of potential pathogens) produces suboptimal results or completely fails.
OR
Modern approach for identification and quantification of microorganisms (pathogens) in the diagnostics of infections or foodborne illness using molecular microbiology. Broadest range of available tests and tailor-made packages.
Fluorescence Microscopy: Techniques, Applications, and Advancements | The Lif...The Lifesciences Magazine
Here are some additional applications and benefits of Fluorescence Microscopy: 1. Cancer Research 2. Genetics and Genomics 3. Developmental Biology 4. Biomedical Imaging
Drugs Discovery and Development from Microbial Genome.pptxLunjapikai Haokip
Microbes have made a phenomenal contribution to the health and well-being of people throughout the world. In addition to producing many primary metabolites, such as amino acids, vitamins and nucleotides, they are capable of making secondary metabolites, which constitute half of the pharmaceuticals on the market today and provide agriculture with many essential products. This review centers on these beneficial secondary metabolites, the discovery of which goes back 80 years to the time when penicillin was discovered by Alexander Fleming.
BACTERIA IDENTIFICATION FROM MICROSCOPIC MORPHOLOGY USING NAÏVE BAYESijcseit
Great knowledge and experience on microbiology are required for accurate bacteria identification.
Automation of bacteria identification is required because there might be a shortage of skilled
microbiologists and clinicians at a time of great need. We propose an automatic bacteria identification
framework that can classify three famous classes of bacteria namely Cocci, Bacilli and Vibrio from
microscopic morphology using the Naïve Bayes classifier. The proposed bacteria identification framework
comprises two steps. In the first step, the system is trained using a set of microscopic images containing
Cocci, Bacilli, and Vibrio. The input images are normalized to emphasize the diameter and shape features.
Edge-based descriptors are then extracted from the input images. In the second step, we use theNaïve
Bayes classifier to performprobabilistic inference based on the input descriptors. 64 images for each class
of bacteria were used as the training setand 222 images consisting of the three classes of bacteria and
other random images such as humans and airplanes were used as the test set. There are no images
overlapped between the training set and the test set. The system was found to be able to accurately
discriminate the three classes of bacteria. Moreover, the system was also found to be able to reject images
that did not belong to any of the three classes of bacteria. The preliminary results demonstrate how a
simple machine learning classifier with a set of simple image-based features can result in high
classification accuracy. The preliminary results also demonstrate the efficacy and efficiency of our two-step
automatic bacteria identification approach and motivate us to extend this framework to identify a variety of
other types of bacteria.
Bacteria identification from microscopic morphology using naïve bayesijcseit
Great knowledge and experience on microbiology are required for accurate bacteria identification.
Automation of bacteria identification is required because there might be a shortage of skilled
microbiologists and clinicians at a time of great need. We propose an automatic bacteria identification
framework that can classify three famous classes of bacteria namely Cocci, Bacilli and Vibrio from
microscopic morphology using the Naïve Bayes classifier. The proposed bacteria identification framework
comprises two steps. In the first step, the system is trained using a set of microscopic images containing
Cocci, Bacilli, and Vibrio. The input images are normalized to emphasize the diameter and shape features.
Edge-based descriptors are then extracted from the input images. In the second step, we use theNaïve
Bayes classifier to performprobabilistic inference based on the input descriptors. 64 images for each class
of bacteria were used as the training setand 222 images consisting of the three classes of bacteria and
other random images such as humans and airplanes were used as the test set. There are no images
overlapped between the training set and the test set. The system was found to be able to accurately
discriminate the three classes of bacteria. Moreover, the system was also found to be able to reject images
that did not belong to any of the three classes of bacteria. The preliminary results demonstrate how a
simple machine learning classifier with a set of simple image-based features can result in high
classification accuracy. The preliminary results also demonstrate the efficacy and efficiency of our two-step
automatic bacteria identification approach and motivate us to extend this framework to identify a variety of
other types of bacteria.
introduction to Nanobiotechnology
what is nanotechnology
bionanotechnology
classical biotechnology industrial production using biological system
modern biotechnology from industrial processes to noval therapeutics
modern biotechnology immunological enzymatic and neucleic acid based technology
Dna based technology
self assembly and supramolecular chemistry
formation of ordered structure at nano scale
The pursuit of understanding cellular processes and their intricate interplay with external stimuli lies at the heart of modern biomedical research. In this context, assay development in cell culture has emerged as an indispensable tool, allowing scientists to investigate cellular responses, signalling pathways, drug effects, and disease mechanisms in a controlled and replicable environment. This essay delves into the significance of assay development in cell culture, its methodologies, applications, and contributions to advancing scientific knowledge.
This paper explores the complex field of synthetic biology, including its historical roots, guiding ideas, contemporary uses, and moral dilemmas raised by its groundbreaking discoveries.
ANALYSIS OF PROTEIN MICROARRAY DATA USING DATA MININGijbbjournal
Latest progress in biology, medical science, bioinformatics, and biotechnology has become important and
tremendous amounts of biodata that demands in-depth analysis. On the other hand, recent progress in data
mining research has led to the development of numerous efficient and scalable methods for mining
interesting patterns in large databases. This paper bridge the two fields, data mining and bioinformatics
for successful mining of biological data. Microarrays constitute a new platform which allows the discovery
and characterization of proteins.
Microbial Taxonomy - Dr. R Subashkumar, Associate Professor in Biotechnology, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore-641006
Beyond Metagenomics- Integration Of Complementary Approaches For The Study Of...guest5368597
Cubillos-Ruiz A, Junca H, Baena S, Venegas I, Zambrano MM. 2009. Beyond Metagenomics: Integration of complementary approaches for the study of microbial communities. In Metagenomics: Theory, Methods and Applications - Editor: Diana Marcos. Horizon Scientific Press. ISBN: 978-1-904455-54-7
Identification and Detection of Microorganism esraa alaa
Molecular detection of pathogens (molecular microbiology)
is a new, dynamic and progressive spinoff of classic microbiology. It plays an important role in those clinical situations when standard microbiology (relying on the successful cultivation of potential pathogens) produces suboptimal results or completely fails.
OR
Modern approach for identification and quantification of microorganisms (pathogens) in the diagnostics of infections or foodborne illness using molecular microbiology. Broadest range of available tests and tailor-made packages.
Fluorescence Microscopy: Techniques, Applications, and Advancements | The Lif...The Lifesciences Magazine
Here are some additional applications and benefits of Fluorescence Microscopy: 1. Cancer Research 2. Genetics and Genomics 3. Developmental Biology 4. Biomedical Imaging
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
1. Microbial Taxonomy
and Tools
In this presentation, we will explore the fascinating world of microbial
taxonomy and its importance in understanding microbial diversity. Join us on
this journey!
by Dr NEETHU ASOKAN
2. Definition of Microbial Taxonomy
Microbial taxonomy is the classification and naming of microorganisms. It provides a systematic
framework to categorize and study the incredible diversity of microscopic life.
3. Traditional Microbial Taxonomy Methods
Classical Approaches
Overview of traditional methods used for
microbial classification, including
morphological and biochemical
characteristics.
Phenotypic Characteristics
Discussion on how observable traits like cell
shape, size, and metabolic capabilities are
used in taxonomy.
Genotypic Characteristics
Exploration of genetic markers, such as
DNA sequences, used to differentiate
microorganisms.
Limitations and Challenges
Highlighting the constraints and difficulties
faced by traditional taxonomy methods.
4. Modern Tools in Microbial Taxonomy
Molecular Techniques
Introduction to advanced
molecular approaches, such
as DNA sequencing, that have
revolutionized microbial
taxonomy.
High-Throughput
Sequencing
Explaining the power of high-
throughput sequencing
technologies to analyze
microbial diversity at a
massive scale.
Bioinformatics Tools
Overview of computational
tools that aid in taxonomic
identification and analysis of
microbial data.
5. Applications of Microbial Taxonomy
1 Biomedical Research
Highlighting how microbial taxonomy
contributes to understanding
infectious diseases and developing
targeted therapies.
2
Environmental Significance
Exploring the role of microbial
classification in assessing ecosystem
health and conservation efforts.
3 Industrial Applications
Showcasing how microbial taxonomy
supports biotechnological
advancements and the development
of biofuels and bioplastics.
6. Future Directions in Microbial Taxonomy
1 Emerging Trends
Discussing new
approaches, such as
metagenomics and
single-cell genomics,
shaping the future of
microbial classification.
2 Technological
Advances
Examining the potential
impact of cutting-edge
technology, including
artificial intelligence and
machine learning, on
taxonomy.
3 Research Potential
Stressing the
importance of
continuous research in
microbial taxonomy to
uncover new insights
and discover new
species.
7. Summary and Conclusion
Recapping the key points in microbial taxonomy and underlining its
importance in scientific, environmental, and industrial domains. Emphasizing
the need for ongoing research and future exploration.