The National Center for Biotechnology Information (NCBI, 2001) defines bioinformatics as the field of science in which biology, computer science, and information technology merge into a single discipline. Fredj Tekaia defines Bioinformatics the mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information. Bioinformatics has emerged as an essential field of science that is facilitating biological discoveries since more than a decade. Without the usage of bioinformatics tools it is merely impossible to capture, manage process, analyse and interpret the huge amounts data that is available especially after whole genome sequencing projects. The sequencing of the genomes of plants and animals will have enormous benefits for the agricultural community. Bioinformatics tools can be used to search for the genes within these genomes and to elucidate their functions. This specific genetic knowledge could then be used to produce stronger, drought, disease and insect resistant crops and improve the quality. In agriculture it helps in the insect resistance, improve nutritional quality, rational plant improvement, waste cleanup, climate change studies, and development of drought resistance varieties (Dahiya and Lata, 2017) and in addition to this it also plays an important roles in biotechnology, antibiotic resistance, and forensic analysis of microbes, comparative studies, evolutionary studies and veterinary Sciences.
Seri bioinformatics tools and techniques not only facilitated detection of proteomic and genomic diversity among the species/strains, but also resulted in finding a gap in the silkworm genome sequence of a strain that diverged during the course of domestication. Seri-bioinformatics databases are a valuable seri-bioresource. The available online resources on silkworm and its related organisms, including databases as well as informative websites help to make silkworms healthier, more disease resistant and more productive. These databases provides information on gene, protein sequences and diseases and play crucial roles in conservation of the silkworm species and mulberry plants (Singh et al., 216). Bioinformatics approaches give an insight, uncovering the lineage with gene and protein count of B. mori and Drosophila encompass ~18,000 and ~16,000 (Genes) and ~9,000 and ~22,000 (Proteins) respectively (Somshekar and Borgowda, 2013).
Bioinformatics plays a significant role in the development of the agricultural sector, crop improvement,
agro-based industries, agricultural by-products utilization and better management of the
environment. With the increase of sequencing projects, bioinformatics continues to make
considerable progress in biology by providing scientists with access to the genomic information.
It is believed that we will take on another giant leap in bioinformatics field in next decade, where
computational models of systems wide properties could serve as the basis for experimentation
and discovery. Agricultural bioinform -atics areas that need focus would be are data curation and
need for the use of restricted vocabularies. Being an interface between modern biology and
informatics it involves discovery, development and implementation of computational algorithms
and software tools that facilitate an understanding of the biological processes with the goal to
serve primarily agriculture and healthcare sectors with several spinoffs.
Bioinformatics plays a significant role in the development of the agricultural sector, crop improvement,
agro-based industries, agricultural by-products utilization and better management of the
environment. With the increase of sequencing projects, bioinformatics continues to make
considerable progress in biology by providing scientists with access to the genomic information.
It is believed that we will take on another giant leap in bioinformatics field in next decade, where
computational models of systems wide properties could serve as the basis for experimentation
and discovery. Agricultural bioinform -atics areas that need focus would be are data curation and
need for the use of restricted vocabularies. Being an interface between modern biology and
informatics it involves discovery, development and implementation of computational algorithms
and software tools that facilitate an understanding of the biological processes with the goal to
serve primarily agriculture and healthcare sectors with several spinoffs.
It includes the information related to a bioinformatics tool BLAST (Basic Local Alignment Search Tool), BLAST is in-silico hybridisation to find regions of similarity between biological sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance. This presentation too contains the input - output format, Blast process and its types .
Sequence homology search and multiple sequence alignment(1)AnkitTiwari354
Sequence homology is the biological homology between DNA, RNA, or protein sequences, defined in terms of shared ancestry in the evolutionary history of life. Two segments of DNA can have shared ancestry because of three phenomena: either a speciation event (orthologs), or a duplication event (paralogs), or else a horizontal (or lateral) gene transfer event (xenologs).[1]
Homology among DNA, RNA, or proteins is typically inferred from their nucleotide or amino acid sequence similarity. Significant similarity is strong evidence that two sequences are related by evolutionary changes from a common ancestral sequence. Alignments of multiple sequences are used to indicate which regions of each sequence are homologous.
Introduction
Definition
History
Principle
Components of bioinformatics
Bioinformatics databases
Tools of bioinformatics
Applications of bioinformatics
Molecular medicine
Microbial genomics
Plant genomics
Animal genomics
Human genomics
Drug and vaccine designing
Proteomics
For studying biomolecular structures
In- silico testing
Conclusion
References
INTRODUCTION
WHAT IS DATA AND DATABASE?
WHAT IS BIOLOGICAL DATABASE?
TYPES OF BIOLOGICAL DATABASE
PRIMARY DATABASE
Nucleic acid sequence database
Protein sequence database
SECONDARY DATABASE
COMPOSITE DATABASE
TERTIARY DATABASE
WHY NEED?
CONCLUSION
REFRENCES
Computational Biology and BioinformaticsSharif Shuvo
Computational Biology and Bioinformatics is a rapidly developing multi-disciplinary field. The systematic achievement of data made possible by genomics and proteomics technologies has created a tremendous gap between available data and their biological interpretation.
An integrated publicly accessible bioinformatics resource to support genomic/proteomic research and scientific discovery.
Established in 1984, by the National Biomedical Research Foundation (NBRF) Georgetown University Medial Center, Washington D.C., USA.
It is the source of annotated protein databases and analysis tools for the researchers.
Serve as primary resource for the exploration of protein information.
Accessible by text search for entry and list retrieval, and also BLAST search and peptide match.
Applications of bioinformatics, main by kk sahuKAUSHAL SAHU
Introduction
Goals of Bioinformatics
Bioinformatics & Human Genome
Project
What can we do using bioinformatics ?
Applications of bioinformatics in various fields
1) Medicine
2) Evolutionary studies
3) Agriculture
4) Microbiology
5) Biotechnology
Conclusion
References
Bioinformatics is a hybrid science that links biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific research, including biomedicine.
It includes the information related to a bioinformatics tool BLAST (Basic Local Alignment Search Tool), BLAST is in-silico hybridisation to find regions of similarity between biological sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance. This presentation too contains the input - output format, Blast process and its types .
Sequence homology search and multiple sequence alignment(1)AnkitTiwari354
Sequence homology is the biological homology between DNA, RNA, or protein sequences, defined in terms of shared ancestry in the evolutionary history of life. Two segments of DNA can have shared ancestry because of three phenomena: either a speciation event (orthologs), or a duplication event (paralogs), or else a horizontal (or lateral) gene transfer event (xenologs).[1]
Homology among DNA, RNA, or proteins is typically inferred from their nucleotide or amino acid sequence similarity. Significant similarity is strong evidence that two sequences are related by evolutionary changes from a common ancestral sequence. Alignments of multiple sequences are used to indicate which regions of each sequence are homologous.
Introduction
Definition
History
Principle
Components of bioinformatics
Bioinformatics databases
Tools of bioinformatics
Applications of bioinformatics
Molecular medicine
Microbial genomics
Plant genomics
Animal genomics
Human genomics
Drug and vaccine designing
Proteomics
For studying biomolecular structures
In- silico testing
Conclusion
References
INTRODUCTION
WHAT IS DATA AND DATABASE?
WHAT IS BIOLOGICAL DATABASE?
TYPES OF BIOLOGICAL DATABASE
PRIMARY DATABASE
Nucleic acid sequence database
Protein sequence database
SECONDARY DATABASE
COMPOSITE DATABASE
TERTIARY DATABASE
WHY NEED?
CONCLUSION
REFRENCES
Computational Biology and BioinformaticsSharif Shuvo
Computational Biology and Bioinformatics is a rapidly developing multi-disciplinary field. The systematic achievement of data made possible by genomics and proteomics technologies has created a tremendous gap between available data and their biological interpretation.
An integrated publicly accessible bioinformatics resource to support genomic/proteomic research and scientific discovery.
Established in 1984, by the National Biomedical Research Foundation (NBRF) Georgetown University Medial Center, Washington D.C., USA.
It is the source of annotated protein databases and analysis tools for the researchers.
Serve as primary resource for the exploration of protein information.
Accessible by text search for entry and list retrieval, and also BLAST search and peptide match.
Applications of bioinformatics, main by kk sahuKAUSHAL SAHU
Introduction
Goals of Bioinformatics
Bioinformatics & Human Genome
Project
What can we do using bioinformatics ?
Applications of bioinformatics in various fields
1) Medicine
2) Evolutionary studies
3) Agriculture
4) Microbiology
5) Biotechnology
Conclusion
References
Bioinformatics is a hybrid science that links biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific research, including biomedicine.
Bioinformatics & It's Scope in BiotechnologyTuhin Samanta
As an interdisciplinary field of science, bioinformatics consolidates science, software engineering, data building, arithmetic and measurements to dissect and decipher organic information. Bioinformatics has been utilized for in silico investigations of organic inquiries utilizing numerical and measurable methods.
this presentation is about bioinformatics. the contents of bioinformatics are as under:
1.Introduction to bioinformatics.
2.Why bioinformatics is necessary?
3.Goals of bioinformatics
4.Field of bioinformatics
5.Where bioinformatics help?
6.Applications of bioinformatics
7.Software and tools of bioinformatics
8.References
synthetic biology says life itself is the canvas. What might we create? we mapping our world, we are mapping every organism, we are mapping organisms that no longer exist, we are connecting all of the information but there is a problem we can’t act on much of this information yet. That is where synthetic biology comes in. so, ideas from engineering have become imposed on biology. We have come from the very basic science trying to discover genes into getting those in a microbe in developing a process, so, what if we could reprogram yeast to make medicines for us. They can be gene therapy they can be anti-cancer, antimalarials, likewise. Humans have always been good at making things. houses, furniture, gadgets of toys. But if there is one thing we have not fully explored it is to build our organisms that is what synthetic biology is all about.
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.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
2. TEMPERATE SERICULTURAL RESEARCH
INSTITUTE MIRGUND
Seminar Title
Bioinformatics and its applications in agriculture/Sericulture
Credit Seminar By
Mohd Younus Wani
(Student of Ph.D. Sericulture)
Reg.No.2017-729-D
Seminar Incharge
Dr.M.F.Baqual
(Associate Professor,TSRI, Mirgund SKUAST-K.)
2
3. Bioinformatics
Term Bioinformatics was coined by Paulien Hogeweg and Ben
Hesper in 1970 as the study of informatic processes in biotic
systems.
Bioinformatics deals with computational management and
analysis of biological information (genes, genomes, proteins,
cells, ecological systems, medical information, robots, artificial
intelligence etc.
3
4. The National Center for Biotechnology
Information (NCBI 2001)
Bioinformatics as the field of science in which biology,
computer science, and information technology merge into a
single discipline.
Fredj Tekaia at the Institute Pasteur defines bioinformatics:
The mathematical, statistical and computing methods that aim
to solve biological problems using DNA and amino acid
sequences and related information.
4
5. Why is bioinformatics important
Bioinformatics has developed out of the need to understand
the code of life (DNA).
Massive DNA sequencing projects have evolved and added
in the growth of the science of bioinformatics.
The ultimate goal of bioinformatics is to uncover the wealth
of biological information hidden in the mass of sequence,
structure, literature and other biological data.
5
9. What is done in bioinformatics
The development of new algorithms and statistics with which to assess
relationships among members of large data sets.
The analysis and interpretation of various types of data including
nucleotide and amino acid sequences, protein domains, and protein
structures.
The development and implementation of tools that enable efficient access
and management of different types of information.
9
10. How do we use Bioinformatics?
Compile/distribute data for other researchers
Compare data with other researchers
Search for previously known functions of a gene
Predict function of unknown genes/proteins
Retrieve/compare gene sequences
Store/retrieve biological information (databases)
10
11. SOFTWARE AND TOOLS
Software tools for bioinformatics range from simple command-line tools,
to more complex graphical programs.
The computational biological tool BLAST
An algorithm for determining the similarity of arbitrary sequences against
other sequences.
BLAST is one of the available programme for doing sequence alignment.
11
12. BLAST
Basic Local Alignment Search Tool.
It is an algorithm for comparing biological sequences information, such as amino acid sequence of
different proteins or the nucleotides of DNA sequences.
BLAST is used to identify library sequences that resembles the query sequences.
The BLAST program was designed by Eugene Myers, Stephen Altschul, Warren Gish, David J. Lipman
and Webb Miller at the NIH and was published in J. Mol. Biol. in 1990.
BLAST is a tool for alignment of sequences.
Link: http://www.ncbi.nlm.nih.gov/BLAST/
12
15. Proteome and Proteomics
The terms proteome and proteomics were coined by Mark Wilkins
and colleagues in the early 1990
Proteome
It is the complement protein found in a single cell in a particular
environment.
It is complete collection of proteins encoded by genome of an
organism.
Proteomics
It is the study of composition, structure, function and interaction
of the proteins directing the activities of each living cell
15
17. Tools of proteomics
protein
Peptide mixture peptides
MS analysis
MS dataIdentification
separation
Protein mixture
digestion digestion
separation
Database search
Algorithms
17
20. Human Genome Project
Genomics is a new term describing the study of all genes of an
organism and their interactions with each other and with the
environment
Purpose: map the entire human genome
Complete sequencing of human genome completed 2003.
The Human Genome of one person fits on a flash drive
Began 1990
20
21. Life Science Vs Computer Science
Scientific algorithms made it possible to put together a
vast amount of data from sequencing machines when
the human genome was sequenced.
Computer science’s computational paradigm has shaped
new modes of inquiry in life sciences
21
28. Insect resistance
Genes from Bacillus thuringiensis that can control a
number of serious pests have been successfully
transferred to cotton, maize and potatoes.
This new ability of the plants to resist insect attack means
that the amount of insecticides being used can be reduced
and hence nutritional quality of the crops is increased.
28
29. Improve nutritional quality
Scientists have recently succeeded in transferring
genes into rice to increase levels of vitamin A, iron
and other micronutrients. This reduces the rate of
blindness from the world by giving genetically
modified rice to people.
29
30. Development of Drought resistance varieties
Progress has been made in developing cereal varieties
that have a greater tolerance for soil alkalinity, free
aluminium and iron toxicities. These varieties will
allow agriculture to succeed in poorer soil areas, thus
adding more land to the global production base.
Research is also in progress to produce crop varieties
capable of tolerating reduced water conditions.
30
31. Climate change Studies
Increasing levels of carbon dioxide
emission are thought to contribute to
global climate change. One way to
decrease atmospheric carbon dioxide
is to study the genomes of microbes
that use carbon dioxide as their sole
carbon source.
31
32. Alternative energy sources
Scientists are studying the genome
of the microbe Chlorobium tepidum
which has an unusual capacity for
generating energy from light.
32
33. Crop improvement
Genome sequencing of several important plants
species has enabled researchers to identify
‘chromosome’ and ‘difference’ factor in
sequences. This in turn has been used to identify
value traits for crop improvement.
For instance, the barley stem rust resistance gene
has been identified from rice-barley comparisons
and the sugarcane rust resistance gene based on
maize-sorghum comparisons.
At present the complete genomes of Arabidopsis
thaliana (water cress) and Oryza sativa (rice) are
available.
33
35. Veterinary Science
Sequencing projects of many farm animals
including cows and sheep are now well under way
in the hope that a better understanding of the
biology of these organisms will have huge impacts
for improving the production and health of
livestock and ultimately have benefits for human
nutrition.
35
36. Evolutionary studies
The sequencing of genomes from all three
domains of life, eukaryote, bacteria and
archaea means that evolutionary studies
can be performed in a quest to determine
the tree of life and the last universal
common ancestor.
36
37. Microbial genome applications
37
Microorganisms are ubiquitous, that is they are found everywhere. They have
been found surviving and thriving in extremes of heat, cold, radiation, salt,
acidity and pressure.
By studying the genetic material of these organisms, scientists can begin to
understand these microbes at a very fundamental level and isolate the genes
that give them their unique abilities to survive under extreme conditions.
38. Waste cleanup
Deinococcus radiodurans is known as the world's toughest
bacteria and it is the most radiation resistant organism
known.
Scientists are interested in this organism because of its potential
usefulness in cleaning up waste sites that contain radiation and toxic
chemicals.
38
39. Gene therapy
In the not too distant future, the potential
for using genes themselves to treat disease
may become a reality.
Gene therapy is the approach used to treat,
cure or even prevent disease by changing
the expression of a persons genes.
Currently, this field is in its infantile stage
with clinical trials for many different types
of cancer and other diseases ongoing.
39
40. Forensic analysis of microbes
Scientists used their genomic tools to
distinguish between the strains of Bacillus
anthraces that was used in the summer of
2001 terrorist attack in Florida with that of
closely related anthrax strains.
40
41. The reality of bio-weapon creation
Scientists have recently built the virus poliomyelitis
using entirely artificial means. They did this using
genomic data available on the Internet and materials
from a mail-order chemical supply.
The research was financed by the US Department of
Defense as part of a bio-warfare response program
to prove to the world the reality of bio-weapons.
41
42. Antibiotic resistance
Scientists have been examining the genome of
Enterococcus faecalis a leading cause of bacterial
infection among hospital patients.
Anti biotic resistant genes that may contribute to the
bacterium's transformation from pathogenic to non
pathogen.
42
43. Drug development
At present all drugs on the market target only about 500
proteins. With an improved understanding of disease
mechanisms and using computational tools to identify and
validate new drug targets, more specific medicines that act
on the cause, not merely the symptoms of the disease can
be developed.
These highly specific drugs promise to have fewer side
effects than many of today's medicines.
43
44. Preventative medicine
With help of genetic mechanisms the development of diagnostic tests
to measure a person’s susceptibility to different diseases may become
a distinct reality.
Preventative actions such as change of lifestyle or having treatment at
the earliest possible stages will help to conquer the disease.
44
45. Molecular medicine
Every disease has a genetic component.
3000-4000 hereditary disease including Cystic Fibrosis and
Huntingtons disease) or a result of the body's response to an
environmental stress which causes alterations in the genome
(e.g. cancers, heart disease, diabetes).
Search for the genes directly associated with different diseases
and begin to understand the molecular basis of these diseases
more clearly. This new knowledge of the molecular mechanisms
of disease will enable better treatments, cures and even
preventative tests to be developed.
45
46. Biotechnology
Bacterium Thermotoga maritima have potential for practical applications
in industry and government-funded environmental remediation.
Corynebacterium glutamicum which is of high industrial interest as a
research object because it is used by the chemical industry for the
biotechnological production of the amino acid lysine.
Lactococcus lactis is one of the most important micro-organisms involved in the dairy
industry, it is a non-pathogenic rod-shaped bacterium that is critical for manufacturing
dairy products like buttermilk, yogurt and cheese. This bacterium is also used to prepare
pickled vegetables, beer, wine, some breads and sausages and other fermented foods.
46
47.
48. Bioinformatics centre
The Bioinformatics centre at Central Sericultural
Research and Training Institute(CSRTI), Mysore was
established as a sub node of the BTISnet in 1999
primarily to support the biotechnological research in
sericulture.
48
49. Objectives of Seri bioinformatics
Maintain information repository of silkworm and mulberry
genotypes and breeds.
Develop and maintain the databases related to mulberry and
silkworm genomes with structural information.
To conduct training/workshops to create awareness and in sight in the
field of Bioinformatics in general and Seri-bioinformatics in
particular.
To provide online support information in the field of sericulture.
49
50. First Transgenic mulberry by Paramjit Khurana
Mulberry is adversely affected by stresses like salinity and drought (Lal et al. 2006).
India has developed the first transgenic mulberry plant in the world with drought and salinity tolerance.
The breakthrough was achieved in a laboratory in South Campus, Delhi University, where the transgenic plants are
currently being tested for proper gene expression.
The development of mulberry plant with transgenic gene HVA-1
Drought and salinity resistant
Transformation of mulberry with hva1 gene from barley for drought and salinity (Lal et al. 2008; Checker et al. 2011).
Tobacco osmotin gene that generates abiotic as well as biotic stress tolerant mulberry (Das et al. 2010).
50
51. Discovery of G protein–coupled receptors
G protein–coupled receptors (GPCRs) are largest integral membrane proteins
that communicate signals across the cell membrane through their interaction
with heterotrimeric G proteins and regulate many of physiological processes
of Bombyx mori such as neurotransmission, growth, development etc.
The GPCRs of the silkworm are identified using the computational methods.
Rhodopsin-like receptors (Class A), secretin receptors (Class B),
metabotropic glutamate/pheromone receptors (Class C), fungal mating
pheromone receptors (Class D), cyclic AMP receptors (Class E), and
frizzled/smoothened GPCRs (Class F).
51
52. Bioinformatic Analysis, and Expression of Bombyx mori Lebocin 5 Gene Related to
Beauveria bassiana Infection
A full length c DNA of Lebocin 5 (BmLeb5) was first cloned from silkworm Bombyx mori by rapid
amplification of c DNA ends. The (BmLeb5 gene is 808bp in length.
Bioinformatics analysis results showed that BmLeb5 owns an O-glycosylation site and four RXXR motifs as
other Lebocins.
Sequence similarity and phylogenic analysis results indicated that lebocins form a multiple gene family in
silkworm as cecropins.
Quantitative real-time PCR analysis revealed that BmLeb5 was highest expressed in the fat body in the
silkworm larvae infected by Beauveria bassiana, the expression level of BmLeb5 was upregulated in the fat
body and hemolymph which are the most important immune tissues in silkworm
52(Lu et al., 2017)
53. Transgenic silkworms
With the introduction of transgenic silkworm hybrids, the quality parameters with reference
to silk grade get improved as compared to the present commercial hybrids.
Development of transgenic silkworms resistant to BmNPV virus
Silkworms are genetically modified to produce human collagen proteins and spider silk
Scientists in Japan have genetically engineered silkworms to create red, green or orange silks
that glow under fluorescent lights.
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54. Antibody production using TG silkworms
Precocious metamorphosis in transgenic silkworms overexpressing
juvenile hormone esterase.
Resistance of transgenic silkworm to BmNPV could be improved
by silencing ie-1 and lef-1 genes.
Overexpression of host plant urease in transgenic silkworms
Generation of transgenic silkworms for production of erythropoietin
in Bombyx mori.
54
59. SILKPROT: An Annotated Protein database for Silkworm
SilkProt is a comprehensive, fully annotated, organism specific database for
silkworm proteins.
The database structure will support users to perform a BLAST search with
highly specified and updated latest version of NCBI-BLAST server.
In future this database will be extended for structure visualization and
pathway information of silkworm proteins.
Search page of Silkprot database 59
60. SilkTF-Silkworm Transcription Factor Database
Main page of SilkTF
Transcription factors are the key regulatory proteins that enhance or
repress the transcriptional rates
Regulation of gene expression.
Identification and classification of TFs provide important resources
for researchers especially in the comparative genomics and
transcriptional regulation.
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61. Mulberry Genome Database
Phylogenetic relationship in terms of dendrogram and marker
segregation pattern has been compiled and stored using relational
database with Visual Basic Platform. The database is also made
available in the form of CD.
Search page of morphology of Mulgenomedb
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62. Soilinfo
This database provides information about the different types of
soils, physical information, physico-chemical properties,
primary and secondary micronutrients etc.
Main page of Soilinfo database
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63. SilkPPI- Silkworm protein-protein interaction database
The Silkworm, Bombyx mori protein-protein
interaction network were predicted using the
well recognized Interlog method.
Main page of SilkPPI63
64. Database of DNA sequences for important plant genes in mulberry
A database has been developed for storing and
retrieving DNA sequences of important plant genes
responsible for yield, quality, diseases and pest
resistance and also some of the mulberry specific
genes obtained from the public domain.
Search page of important plant genes
64
65. Construction of growth indices in popular breeds/hybrids of silkworm
Bombyx mori L. in relation to nutritional conditions
A software for estimating the Growth Index in silkworm
Bombyx mori has been developed to compare the growth
rate of different silkworm breeds and hybrids under
varying conditions of nutrition.
Main page of Growth index software65
66. BioinfoLib
Under this Bioinformatics Library information system, one can access specialized
bioinformatics centers as well as books, scientific journals, manuals, newsletters
and the information on latest research & development.
Main Page of Bioinfolib
66
67. SilkDis - A Comprehensive Silkworm Disease and Pest Database
Organism specific database featuring the information on the
diseases and pests of the host plant mulberry and the silkworm.
The Database provides detailed information on the diseases and
pests, place, mode of infection, biotic and abiotic factors.
Main Page of SilkDis database
67
68. MulDis: A Comprehensive Mulberry Disease and Pest Database
MulDis an organism specific database featuring
the information on the diseases and pests of the
host plant mulberry and the silkworm.
Main Page of MulDis database68
69. Conclusions
Bioinformatics joins mathematics, statistics, and computer science
and information technology to solve complex biological problems.
The tools of bioinformatics are helpful in every field of life.
In agriculture the genome sequencing of the plants and animals
provides number of benefits.
Seri bioinformatics has energized research and fostered a surge of
new ideas for mulberry and silkworm improvement.
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