DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGPuneet Kulyana
This presentation will give you a brief idea about the various DNA sequencing methods and various strategies used for genome sequencing and much more vital information related to gene expression and analysis
A physical map of a chromosome or a genome that shows the physical locations of genes and other DNA sequences of interest. Physical maps are used to help scientists identify and isolate genes by positional cloning.
According to the ICSM (Intergovernmental Committee on Surveying and Mapping), there are five different types of maps: General Reference, Topographical, Thematic, Navigation Charts and Cadastral Maps and Plans.
After sequencing of the genome has been done, the first thing that comes to mind is "Where are the genes?". Genome annotation is the process of attaching information to the biological sequences. It is an active area of research and it would help scientists a lot to undergo with their wet lab projects once they know the coding parts of a genome.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGPuneet Kulyana
This presentation will give you a brief idea about the various DNA sequencing methods and various strategies used for genome sequencing and much more vital information related to gene expression and analysis
A physical map of a chromosome or a genome that shows the physical locations of genes and other DNA sequences of interest. Physical maps are used to help scientists identify and isolate genes by positional cloning.
According to the ICSM (Intergovernmental Committee on Surveying and Mapping), there are five different types of maps: General Reference, Topographical, Thematic, Navigation Charts and Cadastral Maps and Plans.
After sequencing of the genome has been done, the first thing that comes to mind is "Where are the genes?". Genome annotation is the process of attaching information to the biological sequences. It is an active area of research and it would help scientists a lot to undergo with their wet lab projects once they know the coding parts of a genome.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
Genome annotation, NGS sequence data, decoding sequence information, The genome contains all the biological information required to build and maintain any given living organism.
Gene prediction is the process of determining where a coding gene might be in a genomic sequence. Functional proteins must begin with a Start codon (where DNA transcription begins), and end with a Stop codon (where transcription ends).
Genome: The entire chromosomal genetic material of an organism.
Sequencing a genome: Determining the identity and order of nucleotides in the genetic material – usually DNA, sometimes RNA, of an organism.
SNP (Single Nucleotide Polymorphic), SNP mapping, SNP profile, SNP types, SNP analysis by gel electropherosis and by mass spectrometry, SNP effects, single strand conformation polymorphism, SNP advantages and disadvantages and application of SNP profile in drug choice
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyze the function and structure of genomes
Deciphering DNA sequences is essential for virtually all branches of biological research. With the
advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to
elucidate genetic information from any given biological system. This technology has become widely
adopted in laboratories around the world, yet has always been hampered by inherent limitations in
throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential
information they need for their course of study. To overcome these barriers, an entirely new technology
was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing
that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.
Genomic sequencing a sub-disciplinary branch of genetics and difference between the two sequencers used to sequence the genome basically automated sequencer and fluorescence sequencers and its applications.
In shotgun sequencing the genome is broken randomly into short fragments (1 to 2 kbp long) suitable for sequencing. The fragments are ligated into a suitable vector and then partially sequenced. Around 400–500 bp of sequence can be generated from each fragment in a single sequencing run. In some cases, both ends of a fragment are sequenced. Computerized searching for overlaps between individual sequences then assembles the complete sequence.
Two approaches (clone by clone & whole genome shotgun).
Types of DNA sequencing ( 1st, next and 3rd).
Crop genomes sequenced . (Example :Arabidopsis,Rice, Pigeon pea)
Genome annotation, NGS sequence data, decoding sequence information, The genome contains all the biological information required to build and maintain any given living organism.
Gene prediction is the process of determining where a coding gene might be in a genomic sequence. Functional proteins must begin with a Start codon (where DNA transcription begins), and end with a Stop codon (where transcription ends).
Genome: The entire chromosomal genetic material of an organism.
Sequencing a genome: Determining the identity and order of nucleotides in the genetic material – usually DNA, sometimes RNA, of an organism.
SNP (Single Nucleotide Polymorphic), SNP mapping, SNP profile, SNP types, SNP analysis by gel electropherosis and by mass spectrometry, SNP effects, single strand conformation polymorphism, SNP advantages and disadvantages and application of SNP profile in drug choice
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyze the function and structure of genomes
Deciphering DNA sequences is essential for virtually all branches of biological research. With the
advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to
elucidate genetic information from any given biological system. This technology has become widely
adopted in laboratories around the world, yet has always been hampered by inherent limitations in
throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential
information they need for their course of study. To overcome these barriers, an entirely new technology
was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing
that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.
Genomic sequencing a sub-disciplinary branch of genetics and difference between the two sequencers used to sequence the genome basically automated sequencer and fluorescence sequencers and its applications.
In shotgun sequencing the genome is broken randomly into short fragments (1 to 2 kbp long) suitable for sequencing. The fragments are ligated into a suitable vector and then partially sequenced. Around 400–500 bp of sequence can be generated from each fragment in a single sequencing run. In some cases, both ends of a fragment are sequenced. Computerized searching for overlaps between individual sequences then assembles the complete sequence.
Two approaches (clone by clone & whole genome shotgun).
Types of DNA sequencing ( 1st, next and 3rd).
Crop genomes sequenced . (Example :Arabidopsis,Rice, Pigeon pea)
Metagenomics is the study of genetic material recovered directly from environmental samples. Metagenomics is a molecular tool used to analyse DNA acquired from environmental samples, in order to study the community of microorganisms present, without the necessity of obtaining pure cultures.
Introduction
History
Genetic mapping
DNA Markers
Physical mapping
Importance
Drawback
Conclusion
References
uses genetic techniques to construct maps showing the positions of genes and other sequence features on a genome.
Genetic techniques include cross-breeding experiments or, in the case of humans, the examination of family histories (pedigrees).
ArrayGen Technologies Pvt Ltd is a Genomics service provider company with the wide array of expertise in Genomics algorithm development, next-generation sequencing(NGS), microarray and Bioinformatics services. Also, involved in various services in both industry and academia.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.2- Next Generation Sequencing. Technologies and Applications. Part II: NGS Applications I.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
Introduction
History
Tumor suppressor gene- pRB
- RB gene
- Role of RB in regulation of cell cycle
- Tumor associated with RB gene mutation
Tumor suppressor gene- p53
- What is p53 gene?
- Function of p53 gene
- How it regulates cell cycle
- What happen if p53 gene inactivated
- Cancer associated with p53 mutation
- Conclusion
- References
Introduction
Definition
History
Two hit hypothesis
Functions
Mutation in tumor suppressor genes
What is mutation
Inherited mutation of TSGs
Acquired mutation of TSGs
What is Oncogenes?
TSGs and Oncogenes : Brakes and accelerators
Stop and go signal
Examples of TSGs:
RB-The retinoblastoma gene
P53 protein
TSGs &cell suicide
Conclusion
References
Introduction
Protein synthesis
Synthesis of secretory proteins on membrane-bound ribosomes
Processing of newly synthesized proteins in the ER
Synthesis of integral membrane protein on membrane bound ribosomes
Maintenance of membrane asymmetry
Conclusion
Reference
Introduction
Definition
Factors required for Translation
Formation of aminoacyl t-RNA
1)Activation of amino acid
2) Transfer of amino acid to t-RNA
Translation involves following steps:-
1)Initiation
2)Elongation
3)Termination
Conclusion
Reference
Introduction
Definition
History
central dogma
Major components
mRNA,tRNA,rRNA
Energy source
Amino acids
Protien factor
Enzymes
Inorganic ions
Step involves in translation:
Aminoacylation of tRNA
Initiation
Elongation
termination
Importance of translation
Conclusion
Reference
Introduction
Protein modifications
Folding
Chaperon mediated
Enzymatic
Cleavage
Addition of functional groups
Chemical groups
Hydrophobic groups
Proteolysis
Conclusion
Reference
INTRODUCTION
HISTORY
WHAT IS TRANSCRIPTION
PROKARYOTIC TRANSCRIPTION
STEPS OF TRANSCRIPTION
HOW TRANSCRIPTION OCCURS
PROCESS OF TRANSCRIPTION
Initiation
Elongation
Termination
CONCLUSION
REFRENCES
Enzyme Kinetics and thermodynamic analysisKAUSHAL SAHU
Introduction
Kinetics and thermodynamicSG
Thermodynamic in enzymatic reactions
balanced equations in chemical reactions
changes in free energy determine the direction & equilibrium state of chemical reactions
the rates of reactions
Factors effecting enzymatic activity
(i) Enzyme concentration.
(ii) Substrate concentration.
(iii)Temperature
(iv) pH.
(v) Activators.
(vi)Inhibitors
Michaelis-menten equation
CONCLUSIONS
REFERENECES
Recepter mediated endocytosis by kk ashuKAUSHAL SAHU
INTRODUCTION
DEFINITION OF RECEPTOR MEDIATED ENDOCYTOSIS
WHAT TYPE OF LIGANDS ENTER BY RME?
FORMATION OF CLATHRIN-COATED VESICLES
TRISKELIONS
ROLE OF DYNAMIN IN THE FORMATION OF CLATHRIN-COATED VESICLES
ROLE OF PHOSPHOLIPIDS IN THE FORMATION OF COATED VESICLES
ENDOCYTIC PATHWAY
LDLs AND CHOLESTROL METABOLISM
CONCLUSION
REFERENCES
The delivery of newly synthesized protein to their proper cellular destination, usually referred to as protein targeting or sorting.
The mode of protein transport depends chiefly on the location in the cell cytoplasm of the polysomes involved in protein synthesis.
There are two modes of protein sorting:-
1) Co - translational Transportation.
2) Post - translational Transportation.
Prokaryotic translation machinery by kk KAUSHAL SAHU
Introduction
Definition
Factors required for Translation
Formation of aminoacyl t-RNA
1)Activation of amino acid
2) Transfer of amino acid to t-RNA
Translation involves following steps:-
1)Initiation
2)Elongation
3)Termination
Conclusion
Reference
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.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
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.
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.
1. Genome sequencing
By
KAUSHAL KUMAR SAHU
Assistant Professor (Ad Hoc)
Department of Biotechnology
Govt. Digvijay Autonomous P. G. College
Raj-Nandgaon ( C. G. )
3. INTRODUCTION
Genomics, the field dedicated to the study of genome data, is at the
heart of a revolution in genetic and medical research.
With an ever increasing pace, whole genomes, the complete set of
genetic instructions for an organism, are being read and recorded for
creatures great and small.
The sequencing of the human genome, over 3 billion nucleotides in
length, is already considered to be one of humankind’s greatest
achievements.
This is due to advances in technology that enabled the application of
new techniques that greatly accelerated the process of reading DNA
sequences.
4. WHY SEQUENCING A GENOME?
One of the interesting things about biological organisms is their
remarkable similarity at the molecular level, despite their obvious
outward differences. For instance, many genes are found in
morphologically different organisms despite the phylogenetic distance
between them. Not only are these genes very similar in their DNA
sequence composition; they also tend to perform the same functions.
Thus, by understanding the function of a gene in one organism,
scientists can get an idea of what function that gene may perform in a
more complex organism such as humans.
5. SHOTGUN SEQUENCING
Sequencing large amounts of genetic information in a reasonable
amount of time has only recently become possible, using a "shotgun"
approach where a genome is fragmented into millions of short pieces
that are sequenced simultaneously and then reassembled all at once.
The term "shotgun" to denote sequencing of a large number of
random DNA clones was first coined by F. Sanger and co-workers in
1982. They used this method to sequence the entire genome of
bacteriophage λ (lambda), a well studied virus
6. PRINCIPLE
The key to shotgun sequencing is that many of the fragments contain
overlapping sequences or segments called contigs (short for
contiguous sequences). Once the fragments have been sequenced,
the data can be assembled on a computer to reconstruct the original
sequence of the entire chromosome.
7. STEPS IN SHOTGUN SEQUENCING
1. RANDOM PHASE
a. Fragmentation
b. Cloning
c. Sequencing
9. STRATEGIES FOR SHOTGUN SEQUENCING
HIERARCHICAL SHOTGUN
SEQUENCING
This method is also known as
BAC-to-BAC method, employed by
the DOE and NIH funded HGP, is
slow because it depends on
mapping the genome to be
sequenced and obtaining sets of
partially ordered, overlapping
BACs. Also referred to as the map-
based method, it was developed
from procedures used in individual
labs in the late 1980s and 90s.
13. Advantages and Disadvantages
The advantage to the hierarchical approach is sequencers are less
likely to make mistakes when assembling the shotgun fragments into
contigs (as long as full chromosomes). The reason is that the
chromosomal location for each BAC is known, and there are fewer
random pieces to assemble.
The disadvantage is the slow process of sub-cloning and mapping of
the source clones, requiring significant human manipulation.
14. WHOLE GENOME SHOTGUN SEQUENCING
Whole genome shotgun sequencing is a much faster approach, and
enabled researchers to speed up the timetable for sequencing
enormously. The shotgun method was developed by J. Craig Venter
and his associates in 1996 when he was at the Institute for Genomic
Research (TIGR).
16. Advantages and Disadvantages
This shotgun method is faster and less expensive, but it is more
prone to errors due to incorrect assembly of finished sequence.
17. Which method is better?
It depends on the size and complexity of the genome. With the human
genome, each group believes its approach to be superior to the other.
We only have draft sequences and each has gaps and unfinished
regions so it is not possible to say for sure. It is worth mentioning that
Celera had access to the HGP data but the HGP did not have access
to the Celera data. Furthermore, since the Celera data is not freely
available, most investigators will use the HGP sequence for further
research. Therefore, we may never know which method "won".
18. Milestones in Genome Sequencing
First Cellular Organisms
The first bacterial genome, Haemophilus influenzae Rd 1.83 Mbp (Fleischmann
et al. , 1995), sequenced using the whole genome shotgun sequencing approach.
First eukaryotic organism Saccharomyces cerevisiae 13Mbp (Goffeau et
al..,1996).
A bacterium, Escherichia coli 4.60Mbp (Blattner et al. , 1997) is a preferred model
in genetics, molecular biology, and biotechnology..
First Multicellular Organisms
A small invertebrate, the nematode or roundworm, Caenorhabditis elegans 97
Mbp (C. Elegans Sequencing Consortium, 1998). A fruit fly, Drosophila
melanogaster 137 Mb (Adams et al., 2000).
Homo sapiens 2.9Bbp International Human Genome Sequencing Consortium,
Nature, Feb.15, 2001 and Venter et al. Science Feb. 16, 2001.
Mus Musculus 2.6Bbp Celera Genomics, spring 2001, unpublished. According to
Genomes Online Database (Bernal et al. , 2001), on 10th of April, 2002, the total
of 84 complete genomes have been published, 271 ongoing sequencing projects
of prokaryote genomes and 178 eukaryotic sequencing projects.
19. Applications of Shotgun Sequencing
Medicine, including the diagnosis and early detection of genetically
inherited diseases; development of gene therapy and custom-fit
drugs (pharmacogenomics)
Alternative Energy sources, including the development of biofuels
utilizing photosynthetic and microbial systems, gleaned from the
study of bacterial genomics
Evolutionary studies, including lineage studies and phylogenetics
DNA Forensics, involving the use of DNA to identify individuals for
crime tracking.
20. CONCLUSION
Shotgun sequencing is a laboratory technique for determining the DNA
sequence of an organism's genome. The advent of shotgun sequencing
techniques advanced the initial mapping of the human genome by
years, and it has provided biologists, geneticists, and doctors with a
powerful new tool. The ability to sequence genetic data rapidly has
potential benefits not only for life and health science professionals, but
also for the public at large.
21. REFERENCES
The Principles of Shotgun Sequencing and Automated Fragment
Assembly
C.Martti T. Tammi
martti.tammi@cgb.ki.se
Center for Genomics and Bioinformatics, Karolinska Institute, Sto ckholm,
Sweden April 13, 2003
Shotgun sequencing of Human genome
J. Craig Venter; Mark D. Adams; Granger G. Sutton; Anthony R. Kerlavage;
Helminton O. Smith
Science, New series, Vol. 280, No. 5369 (June 5, 1998) 1540-1542