Open reading frame is part of reading frame that contains no stop codons or region of amino acids coding triple codons.
ORF starts with start codon and ends at stop codon.
Open reading frame is part of reading frame that contains no stop codons or region of amino acids coding triple codons.
ORF starts with start codon and ends at stop codon.
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).
Scoring system is a set of values for qualifying the set of one residue being substituted by another in an alignment.
It is also known as substitution matrix.
Scoring matrix of nucleotide is relatively simple.
A positive value or a high score is given for a match & negative value or a low score is given for a mismatch.
Scoring matrices for amino acids are more complicated because scoring has to reflect the physicochemical properties of amino acid residues.
Creation of a cDNA library starts with mRNA instead of DNA. Messenger RNA carries encoded information from DNA to ribosomes for translation into protein. To create a cDNA library, these mRNA molecules are treated with the enzyme reverse transcriptase, which is used to make a DNA copy of an mRNA (i.e., cDNA). A cDNA library represents a sampling of the transcribed genes, but a genomic library includes untranscribed regions.
protein structure prediction methods. homology modelling, fold recognition, threading, ab initio methods. in short and easy form slides. after one time read you can easily understand methods for protein structure prediction.
INTRODUCTION.
NCBI.
EMBL.
DDBJ.
CONCLUSION.
REFERENSE.
The National Center for Biotechnology Information (NCBI) is part of the United States National Library of Medicine (NLM), a branch of the National Institutes of Health.
The NCBI is located in Bethesda, Maryland and was founded in 1988 through legislation sponsored by Senator Claude Pepper.
The NCBI houses a series of databases relevant to biotechnology and biomedicine. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for the biomedical literature.
All these databases are available online through the Entrez search engine.
Automated sequencing of genomes require automated gene assignment
Includes detection of open reading frames (ORFs)
Identification of the introns and exons
Gene prediction a very difficult problem in pattern recognition
Coding regions generally do not have conserved sequences
Much progress made with prokaryotic gene prediction
Eukaryotic genes more difficult to predict correctly
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).
Scoring system is a set of values for qualifying the set of one residue being substituted by another in an alignment.
It is also known as substitution matrix.
Scoring matrix of nucleotide is relatively simple.
A positive value or a high score is given for a match & negative value or a low score is given for a mismatch.
Scoring matrices for amino acids are more complicated because scoring has to reflect the physicochemical properties of amino acid residues.
Creation of a cDNA library starts with mRNA instead of DNA. Messenger RNA carries encoded information from DNA to ribosomes for translation into protein. To create a cDNA library, these mRNA molecules are treated with the enzyme reverse transcriptase, which is used to make a DNA copy of an mRNA (i.e., cDNA). A cDNA library represents a sampling of the transcribed genes, but a genomic library includes untranscribed regions.
protein structure prediction methods. homology modelling, fold recognition, threading, ab initio methods. in short and easy form slides. after one time read you can easily understand methods for protein structure prediction.
INTRODUCTION.
NCBI.
EMBL.
DDBJ.
CONCLUSION.
REFERENSE.
The National Center for Biotechnology Information (NCBI) is part of the United States National Library of Medicine (NLM), a branch of the National Institutes of Health.
The NCBI is located in Bethesda, Maryland and was founded in 1988 through legislation sponsored by Senator Claude Pepper.
The NCBI houses a series of databases relevant to biotechnology and biomedicine. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for the biomedical literature.
All these databases are available online through the Entrez search engine.
Automated sequencing of genomes require automated gene assignment
Includes detection of open reading frames (ORFs)
Identification of the introns and exons
Gene prediction a very difficult problem in pattern recognition
Coding regions generally do not have conserved sequences
Much progress made with prokaryotic gene prediction
Eukaryotic genes more difficult to predict correctly
Being able to identify genes, compare them, analyze them could be applied in various research areas from medical to industrial.
This ppt is designed for Health science and computational biology students to enable you understand the above mentioned topic.
Comparative genome analysis requires high quality annotations of all genomic elements. Today’s sequencing projects face numerous challenges including lower coverage, more frequent assembly errors, and the lack of closely related species with well-annotated genomes. Precise elucidation of the many different biological features encoded in any genome requires careful examination and review. We need genome annotation editing tools to modify and refine the location and structure of the genome elements that predictive algorithms cannot yet resolve automatically. During the manual annotation process, curators identify elements that best represent the underlying biology and eliminate elements that reflect systemic errors of automated analyses.
Apollo is a web-based application that supports and enables collaborative genome curation in real time, analogous to Google Docs, allowing teams of curators to improve on existing automated gene models through an intuitive interface. Researchers from nearly one hundred institutions worldwide are currently using Apollo for distributed curation efforts in over sixty genome projects across the tree of life: from plants to arthropods, to fungi, to species of fish and other vertebrates including human, cattle (bovine), and dog.
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.
This is an introduction to conducting manual annotation efforts using Apollo. This webinar was offered to members of the i5K Research community on 2015-10-07.
Apollo is a web-based, collaborative genomic annotation editing platform. We need annotation editing tools to modify and refine precise location and structure of the genome elements that predictive algorithms cannot yet resolve automatically.
This presentation is an introduction to how the manual annotation process takes place using Apollo. It is addressed to the members of the American Chestnut & Chinese Chestnut Genomics research community.
Apollo is a web-based application that supports and enables collaborative genome curation in real time, allowing teams of curators to improve on existing automated gene models through an intuitive interface. Apollo allows researchers to break down large amounts of data into manageable portions to mobilize groups of researchers with shared interests.
The i5K, an initiative to sequence the genomes of 5,000 insect and related arthropod species, is a broad and inclusive effort that seeks to involve scientists from around the world in their genome curation process, and Apollo is serving as the platform to empower this community.
This presentation is an introduction to Apollo for the members of the i5K Pilot Project on Eurytemora affinis
RECOMBINATION MOLECULAR BIOLOGY PPT UPDATED new.pptxSabahat Ali
This ppt is about recombination and where it occurs. Types of recombination and models of recombination along with many factors in prokaryotic and eukaryotic recombination
Folding depends upon sequence of Amino Acids not the Composition. Folding starts with the secondary structure and ends at quaternary structure.
Denaturation occur at secondary, tertiary & quaternary level but not at primary level.
Tertiary Structure basically of Hydrophobic interactions, (interactions in side chains), hydrogen bonding, salt bridges, Vander Waals interactions.
e.g. Globular proteins & Fibrous Proteins
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
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.
2. Usually the primary challenge that follows the sequencing of
anything from a small segment of DNA to a complete genome
is to establish where the location functional elements such as:
genes (intron/exon boundaries)
promoters,
terminators etc
DNA sequences that may potentially encode proteins are called
Open Reading Frames (ORFs)
The situation in prokaryotes is relatively straightforward since
scarcely any eubacterial and archaeal genes contain introns
3. FINDING ORFs
The simplest method in prokaryotes is to scan the DNA for
start and stop codons
The DNA is double stranded and each strand has three
potential reading frames (codons are groups of 3 bases)
THE CAT ATE THE RAT Frame 1
T HEC ATA TET HER AT Frame 2
TH ECA TAT ETH ERA T Frame 3
The scan must look at all 6 reading frames
4. Any region of DNA between a start codon and a stop codon in
the same reading frame could potentially code for a polypeptide
and is therefore an ORF
Start AUG (methionine) Stop UAA UAG UGA
small potential coding sequences like this will occur frequently
by chance, and therefore the longer they are the more likely
they are to represent real coding regions, genes
Problems
Small genes may be missed
The actual start codon may be internal to the ORF
There may be overlapping genes
5. The simplest tool for finding ORFs is ORF Finder at NCBI
It simply scans all 6 reading frames and shows the position of
the ORFs which are greater than a user defined minimum size
The genetic code used for the analysis can be altered by the
user
This would be important if e.g. mitochondrial or ciliate nuclear
DNA were being analysed
6.
7.
8.
9.
10.
11.
12.
13.
14.
15. To overcome the limitations of ORF finder, more sophisticated
programmes detect compositional biases and increase the
reliability of gene detection
These compositional biases are regular, though very diffuse,
And arise for a variety of reasons:
many organisms there is a detectable preference for G or C
over A and T in the third ("wobble") position in a codon
all organisms do not utilize synonymous codons with the same
frequency - consequently there is a codon bias
there is an unequal usage of amino acids in proteins sufficient to
cause a bias in all three positions of codons and increase the
overall codon bias
16. the %GC content of the first two codon positions of the
universal genetic code is approximately 50%, therefore,
organisms which have a low or high %GC content will exhibit
a marked bias at the third position of codons to achieve their
overall %GC content
The most recent approaches to using compositional features
to distinguish coding from non-coding regions employ ‘Markov
models’
such approaches include the popular GENEMARK and
GLIMMER programs
22. AIMS To establish the concept of ORFs and their relationship to genes
To describe the features used by software to find ORFs/genes
To become familiar with Web-based programmes used to find
ORFs/genes
OBJECTIVES
To be able to distinguish between the concepts of ORF and gene
Use ORF Finder to find ORFs in prokaryotic nucleotide sequences
To describe the complications of the eukaryote “signals”
To be aware of the Web-based programmes
To be able to use the eukaryote programmes for a number of
organisms
23. Organisms whose cells have a membrane-bound
nucleus and many specialised structures located within
their cell boundary.
In these organisms, genetic material is organized into
chromosomes that reside in the nucleus.
24. Principles
• Content - codon usage
– often species or class specific
• Signals - PWMs
– principle is the same, signals are different
– Complication of introns/exons
25. Eukaryotic promoter
TATA boxGC boxCAAT box
5’ 3’
-110 -40 -25 +1mRNA
In addition - transcription factor binding sites
Genes can be enormous!
Controlled by “distant” enhancers
29. Exon finding
• Initial exons, from the initiation codon to the first
splice site;
• Internal exons from splice site to splice site;
• Terminal exons from splice site to stop codon;
• Single introns corresponding to uninterrupted,
intronless genes, i.e., running from initiation codon to
stop codon.
30. Intergrated Gene Parsing
• Search for signals
• Perform a content analysis
• Define the intron/exon boundaries
