Archive of experimentally determined 3D structures of biological macromolecules.
Established in 1971, by Research Collaboratory for Structural Bioinformatics (RCSB), Brookhaven National Laboratories, USA.
Archive contain atomic coordinates, bibliographic citations, primary and secondary structure information, crystallographic structure factors, NMR experimental data.
Composite: It compile and filter sequence data from primary database.
Specialized : database—allows targeted searching on one or more specific subject areas
Lecture delivered by T. Ashok Kumar, Head, Department of Bioinformatics, Noorul Islam College of Arts and Science, Kumaracoil, Thuckalay, INDIA. UGC Sponsored National Workshop on BIOINFORMATICS AND GENOME ANALYSIS for College Teachers on August 11 & 12, 2014. Organized by Centre for Bioinformatics, Department of Zoology, NMCC.
Archive of experimentally determined 3D structures of biological macromolecules.
Established in 1971, by Research Collaboratory for Structural Bioinformatics (RCSB), Brookhaven National Laboratories, USA.
Archive contain atomic coordinates, bibliographic citations, primary and secondary structure information, crystallographic structure factors, NMR experimental data.
Composite: It compile and filter sequence data from primary database.
Specialized : database—allows targeted searching on one or more specific subject areas
Lecture delivered by T. Ashok Kumar, Head, Department of Bioinformatics, Noorul Islam College of Arts and Science, Kumaracoil, Thuckalay, INDIA. UGC Sponsored National Workshop on BIOINFORMATICS AND GENOME ANALYSIS for College Teachers on August 11 & 12, 2014. Organized by Centre for Bioinformatics, Department of Zoology, NMCC.
This presentation gives you a detailed information about the swiss prot database that comes under UniProtKB. It also covers TrEMBL: a computer annotated supplement to Swiss-Prot.
Course: Bioinformatics for Biomedical Research (2014).
Session: 1.3- Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensembl, Biomart and IGV.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data.
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.
The DNA Data Bank of Japan (DDBJ) is a biological database that collects DNA sequences. It is located at the National Institute of Genetics (NIG) in the Shizuoka prefecture of Japan. It is also a member of the International Nucleotide Sequence Database Collaboration or INSDC.
Event: Plant and Animal Genomes Conference 2012.
Speaker: Bert Overduin
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) provides a comprehensive record of the world's nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. Major components of ENA include the Sequence Read Archive (SRA) for next generation data and EMBL-Bank for assembled and annotated sequences. ENA works closely together with NCBI and DDBJ as partners in the International Nucleotide Sequence Database Collaboration (INSDC). Data arrive at ENA from a variety of sources. These include submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centres and routine and comprehensive exchange with our INSDC partners. Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and provides a portfolio of interactive and programmatic submission services to ensure the smoothest flow possible of data into the public domain. ENA data can be searched using rapid sequence similarity and text search services provided both within web-based tools and under programmatic interfaces. Data can be retrieved in a variety of appropriate widely adopted formats through a web browser and extensive REST services. This presentation will consist of an introduction to ENA, followed by a short demonstration of the various ways data can be browsed and retrieved.
This presentation gives you a detailed information about the swiss prot database that comes under UniProtKB. It also covers TrEMBL: a computer annotated supplement to Swiss-Prot.
Course: Bioinformatics for Biomedical Research (2014).
Session: 1.3- Genome Browsing, Genomic Data Mining and Genome Data Visualization with Ensembl, Biomart and IGV.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data.
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.
The DNA Data Bank of Japan (DDBJ) is a biological database that collects DNA sequences. It is located at the National Institute of Genetics (NIG) in the Shizuoka prefecture of Japan. It is also a member of the International Nucleotide Sequence Database Collaboration or INSDC.
Event: Plant and Animal Genomes Conference 2012.
Speaker: Bert Overduin
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) provides a comprehensive record of the world's nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. Major components of ENA include the Sequence Read Archive (SRA) for next generation data and EMBL-Bank for assembled and annotated sequences. ENA works closely together with NCBI and DDBJ as partners in the International Nucleotide Sequence Database Collaboration (INSDC). Data arrive at ENA from a variety of sources. These include submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centres and routine and comprehensive exchange with our INSDC partners. Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and provides a portfolio of interactive and programmatic submission services to ensure the smoothest flow possible of data into the public domain. ENA data can be searched using rapid sequence similarity and text search services provided both within web-based tools and under programmatic interfaces. Data can be retrieved in a variety of appropriate widely adopted formats through a web browser and extensive REST services. This presentation will consist of an introduction to ENA, followed by a short demonstration of the various ways data can be browsed and retrieved.
Information recovery is the recovery of things (objects, Web pages, archives, and so forth) that fulfill explicit conditions set in an ordinary articulation like query. While IR targets fulfilling a bit of client data need generally communicated in common language, information recovery targets figuring out which records contain the specific terms of the user queries.
The National Center for Biotechnology Information is part of the United States National Library of Medicine, 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.
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.
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.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
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.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
2. Introduction:
• Gene: functional unit controlled by transcription that
produces a RNA product, which is most frequently but not
always translated into a protein that acts inside or outside of
a cell.
• Genome: the complete set of genes and genetic material
present in an organism.
• Genomic: Entire genetic information of an organism, the
genome and the function and interaction of DNA within the
genome.
3. What is a Genomic Database?
The Genome Database (GDB, http://www.gdb.org ) is a public repository of data on human genes, clones,
STSs, polymorphisms and maps. GDB entries are highly cross-linked to each other, to literature citations and
to entries in other databases, including the sequence databases, OMIM, and the Mouse Genome Database.
The database can be searched by a variety of methods, ranging from keyword searches to complex queries
The content of GDB comes primarily from two sources: the scientific literature and submission from data
producers
4. • The 3 main nucleic acid databases:
• DNA Data Bank of Japan (National Institute of Genetics)
• EMBL (European Bioinformatics Institute)
• GenBank (National Center for Biotechnology Information)
• NCBI GenBank, EMBL Nucleotide Sequence Database (EMBL), and the DNA Data Bank of Japan
(DDBJ) are comprehensive databases that contain publicly available nucleotide sequences. The three
organizations synchronize their data on a daily basis to ensure worldwide coverage.
• GenBank is the NIH genetic sequence database, an annotated collection of all publicly available DNA
sequences GenBank is part of the International Nucleotide Sequence Database Collaboration, which
comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and
GenBank at NCBI. These three organizations exchange data on a daily basis.
• FASTA - a text-based format for representing either
nucleotide sequences or peptide sequences,
in which base pairs or amino acids are represented using
single-letter codes. A sequence in FASTA format begins with
a single-line description, followed by lines of sequence data.
5. Access to GenBank
There are several ways to search and retrieve data from GenBank.
Search GenBank for sequence identifiers and annotations with Entrez Nucleotide.
Search and align GenBank sequences to a query sequence using BLAST (Basic Local Alignment
Search Tool). See BLAST info for more information about the numerous BLAST databases.
Search, link, and download sequences programatically using NCBI e-utilities.
The ASN.1 and flatfile formats are available at NCBI's anonymous FTP
server: ftp://ftp.ncbi.nlm.nih.gov/ncbi-asn1 and ftp://ftp.ncbi.nlm.nih.gov/genbank.
6. Methods of retrieving
information:
• Querying by name, keyword or
accession number
• Querying by region of interest.
• Retrieving a graphical view of
locus position
Querying by name, keyword or accession
number:
• The simplest search methods available are:
• find an object with a known GDB accession
number
• find objects associated with a known sequence
database accession number
• find objects having a specified name. The name
can include wildcard symbols (e.g., AFM147×b*),
and will automatically match synonyms as well as
primary names.
• find objects that contain one or more keywords
anywhere in their text.
7. Types of Genomic databases
Entrez_Genomes; EBI_Genomes : Databases that
collect data of all sequenced genomes
Microbial Genome at TIGR : Databaes that collect data
of a category of organism with sequenced genomes
Flybase, MGD, Ensembl : Databases specific for one
organism with sequenced genomes.
8. Flybase - a database of the Drosophila genome
GenProtEC - E.Coli genome and proteome database
GOBASE - the organelle Genome Database
Gramene – a resource for comparative grass genomics
HGD – Hymenopetra Genome Database
IGGI – International Glossina Genome Initiative
PomBase – a scientific resource for fission yeast