Introduction to EBI and EMBL
The European Bioinformatics Institute (EBI) operates under the European Molecular Biology Laboratory (EMBL) and has played a crucial role in bioinformatics since its establishment in 1992. Initially starting as a nucleotide sequence database, EBI now hosts comprehensive biological datasets including DNA sequences, genome sequences, microarrays, proteomics, and structural genomics. For more on protein-related databases, see Comprehensive Guide to Protein Databases: Types and Key Examples.
Wet Lab vs Dry Lab: The Backbone of Bioinformatics
- Wet Lab: Conducts experimental work on DNA, RNA, and proteins.
- Dry Lab: Stores, analyzes, modifies, and validates data obtained from wet lab experiments.
This collaboration enables accurate predictions about organisms based on their genotype rather than solely on phenotype, marking a shift from traditional morphology-based analysis. To understand the foundational biomolecule, review Understanding the Structure of DNA: Key Components and Functions.
Importance of Data Integration and Genome Projects
EBI collects and curates extensive biological information, supporting various global genome projects. It serves as a central platform to unify data from genomics, proteomics, and protein structural studies. Explore further in Comprehensive Overview of Biotechnology and Its Applications.
Key Bioinformatics Tools Hosted by EBI
EBI offers a suite of tools designed for diverse analytical tasks:
- Pratt: Detects conserved patterns in sequences.
- PPSearch: Compares query sequences against known patterns in the PROSITE database.
- InterProScan: Scans sequences against InterPro databases to identify protein families.
- EMBOSS: Comprehensive sequence comparison tool performing detailed end-to-end analyses.
- PRIDE: Repository and analysis tool for proteomics data.
- Align: Performs pairwise global and local sequence alignments.
- Clustal W2: Facilitates multiple sequence alignment (MSA) for extensive comparative studies.
- SAPS: Statistical analysis of protein sequences.
- FASTA and BLAST: Sequence similarity searching tools essential for identifying homologous sequences.
- DALI (Delight): Performs pairwise structural comparisons, focusing on 3D protein structures rather than sequence alone. Additional insights can be found in Comprehensive Guide to Recombinant Protein Expression and Structural Biology.
- ReadSeq: Converts sequence file formats crucial for interoperability among databases and tools.
- PDBe Site: Identifies enzyme active sites based on ligand-binding information.
Why Format Conversion Matters
Different databases and tools use varied sequence file formats, similar to different video file types (e.g., MP4, AVI). Tools like ReadSeq allow seamless transitions between formats to maintain compatibility and effective data sharing.
Conclusion
EBI represents a vital hub for bioinformatics data storage, analysis, and resource sharing. Through its integration with wet lab research and provision of specialized analytical tools, EBI supports the accelerating pace of molecular biology research and facilitates a deeper understanding of genetic and proteomic information.
so apart from this apart from all these European databases that we discussed there's one more you know remember I
told you earlier that one such example is ebi ebi European bioinformatics
Institute and this name is you know something like very very important in terms of bioinformatics tools two name
ebi and ncbi ebi is European bioinformatics Institute and ncbi is National Center of biotechnology
information both are playing The crucial role in maintaining a huge amount of data in all the different kinds of
database so European biological or European bioinformatics Institute under uh it is under
embl okay what is embl full form European molecular biology laboratory embl they provide the bioinformatics
information it's actually very important that we have a lab facility which is wet lab facility of course and then we have
this dry lab facility so what is the difference between the weight lab and dry lab and cross flow let's understand
we have weight lab where we run all the experiment experiments are done experiments on uh on DNA RNA uh
experiments on protein all these things we perform we do and then all the data that we gather is transferred to the dry
lab where we store the data we analyze the data we modify the data and we cross
talk or cross check cross check sorry cross check after after what cross check after modification after
uh prediction so we do prediction here of course we do prediction and then you cross check that prediction and then
based on that we get a yes or no or nod up or no based on that we can understand an organism and how that
organism behaves because now basically it's not likely you know there are plenty of years earlier when we see an
organism based on its morphology appearance we decide everything but nowadays we don't even look at
morphology it doesn't matter whether how much similar they look from outside phenotype doesn't matter everything that
matter is the genotype how it's actually made up and everything is possible with this cross stock of weight lab and dry
lab so that's why this always the greatest uh biotechnology greatest bioinformatics tools can only be
hosted when they are connected to molecular lab or weight lab facility so for example here is the European
molecular biology laboratory embl under this we run the experiment on all and that hosts in the ebi okay it was
established in 1980s okay at embl okay and it was first as a nucleotide sequence database it
started as a nucleotide sequence database and then sooner it man start managing different kinds of biological
databases and now what we have we have DNA sequences genome sequences we have microarrays proteomics structural
genomics and so many different different things are under this roof and basically when you heard this name you know
genomics proteomics structural genomics all this sounds very complicated all these sounds very you know similar so
people use these terms quite often so for that also I'll do a midv portion at the end of this lecture which will help
you to understand and forget all the misconception and understand only what is real
okay so always we have a we need a need we require a need to collect store and curate all the little bit of information
from genome proteome uh structure of the protein and all the different places and put them together okay and we have
multiple genome projects running uh in different places of the earth okay and the data came in so we'll gather them
okay so what happened in 1992 embl voted to establish this ebi and then the ebi got established embl
started then and the ebl got established 1992 okay so basically it provides the search assisted to lead B
informatic Revolution that is what ebi is actually made for and now ebi hosts various
databases various it actually let me write it hosts various various
databases okay so this various database what kind of database it can be it can be nucleotide database right it can be
microarray microarray database it can be Pathways protein Pathways okay there are different
Pathways available that database uh protein structural datab all these different types of database
hosted under this ebi and there are various tools available as well there are various tools available that
actually there various tools that will help us to find out information regarding all these different type from
different type of database like nucleotide sequence microarray Pathways protein sequence and protein structure
okay so for example let me write down important name of the tool one of them is Pratt p r a t Pratt okay why Pratt is
formed to find patterns patterns basically conserved patterns
conserved patterns okay second thing PP search we have PP search
now why PP search is for basically it is there to compare the query sequence query
sequence me sequence that we feed in against all patterns that are stored in the proos site database that is called
PP search comparison okay okay another tool
inter Pro Scan inter Pro Scan what it
does basically we have inter Pro and the query sequence is scanned against the
interpro interpro has some information so we scan it against it then we have what else we have
emboss emboss all capital basically it's a sequence comparison tool sequence
quence comparison end to end comparison every little detail will be compared in emboss
what else we'll have pride p r i d all capital Pride what is
for proteomics proteum miix data okay what else we have let me write
another tool name align align what align stand for basically alignment what we do we do
pairwise Global and pairwise local alignment pairwise Global and local alignment is done with
alignment okay clustal W2 clustal W2 what it does again a tool for multiple sequence alignment multiple
sequence align MSA there are different types of alignments remember we'll discuss about that in lat separate
lecture multiple sequence alignment in clal W2 align is we'll do the global alignment and local
alignment what else we have saps what saps is for statistics of protein
sequence statistical tool statistics of protein sequence that is
saps what we have else we have faster faster what we do sequence
similarity searching tool is faster then what we have blast we have blast what is Blast for
again sequence similarity searching tool fasta blast both do the similar thing little difference we'll talk about that
later on what else we have number
11 Del light DL light what we do pairwise sequence or
pairwise actually pairwise structural comparison this is structural
comparison here you can see fasta and blast will do sequence similar it search while di light or Daily Light
will do structural comparison okay what else we
have read sequence this is known as sequence format conversion tool and it is very
very important actually right now you may not understand why it is important to convert a sequence there are
different formats of sequence just like there are different format of a file Know video file when you play uh there
is MP4 do Avi okay M 2m4 so we have different kinds as well in case of uh this sequence uh this this information
that we have that are available because we are doing this for different databases the datab there's ncbi there
are some database hosted by us their database hosted by UK they do this in different ways their own terms so the
the raw file have different formats so the format conversion is also important and read sequence will do the format
conversion format conversion okay there are some more
examples if you open up the site you'll see that but I'm not going to write them down here so these are all the types of
tools uh that are available there under ebi even there are four five more tools available tiof is also there
which is known for multiple sequence alignment okay uh then there is also pdb site pdbe site uh that helps us to
search active site based on liand where exactly it binds so let me write that one that's important pdb all capital pdb
E then site simply okay uh it helps helps us to find out uh active site active site
in enzyme based on liand or liand binding liand
binding okay so there are some more tools available out there you can check them out
EBI serves as a central hub for storing, curating, and providing access to vast biological datasets including DNA sequences, genomes, proteomics, and structural genomics. Established under EMBL since 1992, it supports global genome projects and fosters data integration across genomics, proteomics, and protein structural studies, enabling researchers worldwide to analyze and interpret biological information effectively.
Wet labs perform experimental work on biological molecules like DNA, RNA, and proteins to generate raw data. Dry labs then store, analyze, and validate this data using computational tools, allowing scientists to make accurate genotype-based predictions about organisms. This collaboration bridges traditional experimental biology with computational analysis for deeper biological insights.
EBI offers numerous tools such as Pratt for detecting conserved sequence patterns, PPSearch for pattern comparisons using the PROSITE database, InterProScan for protein family identification, EMBOSS for comprehensive sequence comparisons, PRIDE for proteomics data analysis, Clustal W2 for multiple sequence alignments, FASTA and BLAST for sequence similarity searches, DALI for 3D structural protein comparisons, and ReadSeq for sequence format conversions. These tools facilitate diverse analyses in genetics and proteomics research.
Different databases and analytical tools often require specific sequence file formats, similar to how different video players need various video formats. Format conversion ensures interoperability, allowing data to be shared and analyzed seamlessly across platforms. ReadSeq is a tool that converts between multiple sequence file formats, maintaining data integrity and compatibility throughout workflows.
EBI provides specialized tools like DALI for comparing 3D protein structures and the PDBe Site tool to identify enzyme active sites based on ligand-binding information. These resources enable researchers to analyze protein folding, structural similarities, and functional sites, advancing knowledge in structural biology and aiding in drug design and protein engineering.
By unifying diverse datasets, EBI allows comprehensive analyses that consider genetic sequences alongside protein expression and 3D structures. This integrated approach facilitates more accurate biological predictions, supports complex systems biology studies, and enhances our understanding of molecular mechanisms, ultimately accelerating discoveries in molecular biology and biotechnology.
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