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How Bioinformatics can change your lifeHow Bioinformatics can change your life
Basic Concepts of BioinformaticsBasic Concepts of Bioinformatics
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IntroductionIntroduction
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20002000
A Major event happened that was toA Major event happened that was tochange the course of human historychange the course of human history
It was a joint British and AmericanIt was a joint British and American
efforteffort It was a raceIt was a race who will completewho will complete
firstfirst
Race TestRace Test not whether they havenot whether they have
taken drugs but whether they cantaken drugs but whether they canproduce them!produce them!
Human genome was sequencedHuman genome was sequenced
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Bioinformatics is:Bioinformatics is:
driven by the generation of data,driven by the generation of data,moderated by hardware andmoderated by hardware andanalysis methodsanalysis methods
Computing power
Data generationplatforms
Analysis methods
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What isWhat is
The merging between computerThe merging between computerscience and molecular biologyscience and molecular biology The algorithm and techniques ofThe algorithm and techniques of
computer science are being used tocomputer science are being used to
solve the problems faced by molecularsolve the problems faced by molecularbiologistsbiologists
Information technology applied toInformation technology applied tothe management and analysis ofthe management and analysis ofbiological databiological data Storage and Analysis are two of theStorage and Analysis are two of the
important functionsimportant functions bioinformaticiansbioinformaticiansbuild tools for eachbuild tools for each
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Biology Chemistry
Statistics
ComputerScience
Bioinformatics
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What is..What is..
This is the age of the InformationThis is the age of the InformationTechnologyTechnology
However storing info is nothing newHowever storing info is nothing new
Information to the volume ofInformation to the volume ofBritannica Encyclopedia is stored inBritannica Encyclopedia is stored ineach of our cellseach of our cells
Bioinformatics tries to determineBioinformatics tries to determinewhat info is biologically importantwhat info is biologically important
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BasicsBasics
ofofMolecular Biology.Molecular Biology.
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DNA & GenesDNA & Genes
DNA is where the genetic information isDNA is where the genetic information isstoredstored
Blonde hair and blue eyes are inherited byBlonde hair and blue eyes are inherited bythisthis
GeneGene -- The basic unit of heredityThe basic unit of heredity There are genes for characteristics i.e. a geneThere are genes for characteristics i.e. a gene
for blond hair etcfor blond hair etc
Genes contain the information as aGenes contain the information as asequence of nucleotidessequence of nucleotides
Genes are abstract conceptsGenes are abstract concepts likelikelongitude and latitudes in the sense thatlongitude and latitudes in the sense thatyou cannot see them separatelyyou cannot see them separately
Genes are made up of nucleotidesGenes are made up of nucleotides
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Nucleotide (nt)Nucleotide (nt)
Each nt I made up ofEach nt I made up of SugarSugar Phospate groupPhospate group BaseBase
The base it (nt) contains makes the onlyThe base it (nt) contains makes the onlydifference between one nt and the otherdifference between one nt and the other There are 4 different basesThere are 4 different bases
G(uanine),A(denine),T(hymine),C(ytosine)G(uanine),A(denine),T(hymine),C(ytosine)
The information is in the order of nucleotideThe information is in the order of nucleotide
and the order is the infoand the order is the info Genes can be many thousands of nt longGenes can be many thousands of nt long The complete set of genetic instructions isThe complete set of genetic instructions is
called genomescalled genomes
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ProteinsProteins
Proteins are very importantProteins are very importantbiological featurebiological feature
Amino Acids make up the proteinsAmino Acids make up the proteins
20 different amino acids are there20 different amino acids are there The function of a protein isThe function of a protein is
dependant on the order of the aminodependant on the order of the aminoacidsacids
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ProteinsProteins
The information required to make aa isThe information required to make aa isstored in DNAstored in DNA
DNA sequence determines amino acidDNA sequence determines amino acidsequencesequence
Amino Acid sequence determines proteinAmino Acid sequence determines proteinstructurestructure Protein structure determines proteinProtein structure determines protein
functionfunction A Substance called RNA is used to carryA Substance called RNA is used to carry
theInfo stored in the
DNAthat in turn isthe
Info stored in the
DNAthat in turn isused to make proteinsused to make proteins
StorageStorage -- DNADNA Information TransferInformation Transfer RNARNA RNA is the message boy!RNA is the message boy!
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Central dogmaCentral dogma
DNADNA transcriptiontranscription RNARNA TranslationTranslation ProteinProtein
RNA PolymeraseRNA Polymerase RibosomesRibosomes
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Proteins..Proteins..
Since there are 20 amino acids toSince there are 20 amino acids totranslate one nt cannot correspondtranslate one nt cannot correspondto one aa, neither can it correspondto one aa, neither can it correspondas twosas twos
So in triplet codesSo in triplet codes codoncodon proteinproteininformation is carriedinformation is carried
The codons that do not correspondThe codons that do not correspond
to a protein are stop codonsto a protein are stop codons UAA,UAA,UAG, UGAUAG, UGA(RNA has U instead of T)(RNA has U instead of T)
Some codons are used as startSome codons are used as startcodonscodons -- AUG as well as to codeAUG as well as to code
methioninemethionine
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Protein StructureProtein Structure
Shows a wide variety as opposed to theShows a wide variety as opposed to theDNA whose structure is uniformDNA whose structure is uniform XX--ray crystallography orNuclear Magneticray crystallography orNuclear Magnetic
Resonance (NMR) is used to figure out theResonance (NMR) is used to figure out thestructurestructure
Structure is related to the function or ratherStructure is related to the function or ratherstructure determines the functionstructure determines the function Although proteins are created as a linearAlthough proteins are created as a linear
structure of aa chain they fold into 3 dstructure of aa chain they fold into 3 dstructure.structure.
If you stretch them and leave them they willIf you stretch them and leave them they willgo back to this structurego back to this structure this is thethis is the nativenativestructurestructure of a proteinof a protein
Only in the native structure the proteinsOnly in the native structure the proteinsfunctions wellfunctions well
Even after the translation is over proteinEven after the translation is over protein
goes through some changes to its structuregoes through some changes to its structure
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BioinformaticsBioinformaticsTechniques..Techniques..
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Prediction and PatternPrediction and PatternRecognitionRecognition
The two main areas of bioinformaticsThe two main areas of bioinformaticsareare
Pattern recognitionPattern recognition
A particular sequence or structure hasA particular sequence or structure hasbeen seen before and that a particularbeen seen before and that a particularcharacteristic can be associated with itcharacteristic can be associated with it
PredictionPrediction
From a sequence (what we know) weFrom a sequence (what we know) wecan predict the structure and functioncan predict the structure and function(what we dont know)(what we dont know)
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Dot plots.Dot plots.
Simple way of evaluatingSimple way of evaluatingsimilarity between twosimilarity between twosequencessequences
In a graph one sequence is onIn a graph one sequence is onone side the next on the otherone side the next on the othersideside
Where there are matchesWhere there are matchesbetween the two sequences thebetween the two sequences thegraph is markedgraph is marked
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AlignmentsAlignments
A match for similarity between the characters of two orA match for similarity between the characters of two ormore sequencesmore sequences
Eg.Eg. TTACTATATTACTATA TAGATATAGATA
There are so many ways to align the above twoThere are so many ways to align the above twosequencessequences 1.1.
TTACTATATTACTATA TAGATATAGATA
2.2. TTACTATATTACTATA TAGATATAGATA
3.3. TTACTATATTACTATA TAGATATAGATA
So which one do we choose and on what basis?So which one do we choose and on what basis? Solution is to Provide a match score and mismatch scoreSolution is to Provide a match score and mismatch score
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Dynamic ProgrammingDynamic Programming
As the length of the query sequencesAs the length of the query sequencesincrease and the difference of lengthincrease and the difference of lengthbetween the two sequence also increasesbetween the two sequence also increasesmore gaps has to be inserted in variousmore gaps has to be inserted in variousplacesplaces
We cannot perform an exhaustive searchWe cannot perform an exhaustive search
Combinatorial explosion occursCombinatorial explosion occurs too muchtoo muchcombinations to search forcombinations to search for
Dynamic programming is a way of usingDynamic programming is a way of usingheuristics to search in the most promisingheuristics to search in the most promisingpathpath
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DatabasesDatabases
Sequence info is stored inSequence info is stored indatabasesdatabases
So that they can be manipulatedSo that they can be manipulated
easilyeasily The db (next slide) are locatedThe db (next slide) are located
at diff placesat diff places
They exchange info on a dailyThey exchange info on a dailybasis so that they are upbasis so that they are up--toto--datedateand are in syncand are in sync
Primary dbPrimary db sequence datasequence data
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Nucleic acid (DNA/RNA)Nucleic acid (DNA/RNA)sequence databasessequence databases One main database arising from a partnershipOne main database arising from a partnership
between GenBANK at the NCBI (National Center forbetween GenBANK at the NCBI (National Center forBiotechnology InformationBiotechnology Information USA), the EMBL dataUSA), the EMBL datalibrary at the EBI (European Bioinformatics Institutelibrary at the EBI (European Bioinformatics Institute
UK) and the DNAData Bank at the NIG (NationalUK) and the DNAData Bank at the NIG (NationalInstitute of GeneticsInstitute of Genetics Japan).Japan).
Daily exchanges between the 3 partners to keep theDaily exchanges between the 3 partners to keep thedatabases synchronised.databases synchronised.
DNA and RNA sequences: curated, archived,DNA and RNA sequences: curated, archived,distributed.distributed.
Sequences from genome projects, scientific articles,Sequences from genome projects, scientific articles,patent applications. Most scientific journals requirepatent applications. Most scientific journals requireDNA and RNA sequences related to eachDNA and RNA sequences related to eachpublication to be publicly available.publication to be publicly available.
Sequences deposited early and going through aSequences deposited early and going through areview cycle; unannotated.. preliminary..review cycle; unannotated.. preliminary..unreviewed.. standard.unreviewed.. standard.
Format: human and computer readable.Format: human and computer readable.
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Major Primary DBMajor Primary DBNucleic AcidNucleic Acid ProteinProtein
EMBL (Europe)EMBL (Europe) PIRPIR --
Protein InformationProtein InformationResourceResource
GenBank (USA)GenBank (USA) MIPS,NCBIMIPS,NCBIDDBJ (Japan)DDBJ (Japan) SWISSSWISS--PROTPROT
University of Geneva,University of Geneva,now with EBInow with EBI
NCBINCBI TrEMBLTrEMBL
A supplement to SWISSA supplement to SWISS--PROTPROT
NRLNRL--3D3D
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Composite DBComposite DB
As there are many db which one toAs there are many db which one tosearch? Some are good in somesearch? Some are good in someaspects and weak in others?aspects and weak in others?
Composite db is the answerComposite db is the answer whichwhichhas several db for its base datahas several db for its base data
Search on these db is indexed andSearch on these db is indexed andstreamlined so that the same storedstreamlined so that the same storedsequence is not searched twice insequence is not searched twice indifferent dbdifferent db
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Composite DBComposite DB
OWL has these as their primaryOWL has these as their primarydbdb
SWISS PROT (top priority)SWISS PROT (top priority)
PIRPIR
GenBankGenBank
NRLNRL--3D3D
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Secondary dbSecondary db
Store secondary structure infoStore secondary structure infoor results of searches of theor results of searches of theprimary dbprimary db
CompoCompo
DBDB
PrimaryPrimary
SourceSource
PROSITEPROSITE SWISSSWISS--PROTPROT
PRINTSPRINTS OWLOWL
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Structural databasesStructural databases
The main database of protein structures is the PDBThe main database of protein structures is the PDB(Protein Data Bank).(Protein Data Bank).
The PDB started in 1971 at Brookhaven NationalThe PDB started in 1971 at Brookhaven NationalLabs (NY, USA) and is now a distributedLabs (NY, USA) and is now a distributed
organisation (Research Collaboratory for Structuralorganisation (Research Collaboratory for StructuralBioinformatics, www.rcsb.org) of US partnersBioinformatics, www.rcsb.org) of US partners(Rutgers, NJ; San Diego Supercomputer Centre,(Rutgers, NJ; San Diego Supercomputer Centre,Ca; NIST, Md).Ca; NIST, Md).
The PDB includes protein structures (and a fewThe PDB includes protein structures (and a fewDNA and other structures) determined by XDNA and other structures) determined by X--rayraycrystallography and Nuclear Magnetic Resonance.crystallography and Nuclear Magnetic Resonance.
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Database SearchesDatabase Searches
We have sequenced and identifiedWe have sequenced and identifiedgenes. So we know what they dogenes. So we know what they do
The sequences are stored inThe sequences are stored indatabasesdatabases
So if we find a new gene in theSo if we find a new gene in thehuman genome we compare it withhuman genome we compare it withthe already found genes which arethe already found genes which arestored in the databases.stored in the databases.
Since there are large number ofSince there are large number ofdatabases we cannot do sequencedatabases we cannot do sequencealignment for each and everyalignment for each and everysequencesequence
So heuristics must be used again.So heuristics must be used again.
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Areas inAreas in
BioinformaticsBioinformatics
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GenomicsGenomics
Because of the multicellular structure, eachBecause of the multicellular structure, eachcell type does gene expression in acell type does gene expression in adifferent waydifferent way although each cell has thealthough each cell has thesame content as far as the geneticsame content as far as the genetic
i.e.A
ll the information for a liver cell to be ai.e.A
ll the information for a liver cell to be aliver cell is also present on nose cell, soliver cell is also present on nose cell, sogene expression is the only thing thatgene expression is the only thing thatdifferentiatesdifferentiates
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GenomicsGenomics -- Finding GenesFinding Genes
Gene in sequence dataGene in sequence data needle in aneedle in ahaystackhaystack
However as the needle is differentHowever as the needle is differentfrom the haystack genes are not difffrom the haystack genes are not difffrom the rest of the sequence datafrom the rest of the sequence data
Is whole array of nt we try to find andIs whole array of nt we try to find andborder mark a set of nt as a geneborder mark a set of nt as a gene
This is one of the challenges ofThis is one of the challenges of
bioinformaticsbioinformatics Neural networks and dynamicNeural networks and dynamic
programming are being employedprogramming are being employed
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OrganismOrganism GenomeGenome
SizeSize
(Mb)(Mb)bp * 1,000,000bp * 1,000,000
GeneGene
NumberNumber
Web SiteWeb Site
YeastYeast 13.513.5 6,2416,241 http://genomehttp://genome--www.stanford.edwww.stanford.ed
u/Saccharomyceu/Saccharomycess
Fruit FliesFruit Flies 180180 13,60113,601 http://flybase.bio.http://flybase.bio.indiana.eduindiana.edu
HomoHomoSapiensSapiens
3,0003,000 45,00045,000 http://www.ncbi.nhttp://www.ncbi.nlm.nih.gov/genolm.nih.gov/genome/guideme/guide
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ProteomicsProteomics
Proteome is the sum total of anProteome is the sum total of anorganisms proteinsorganisms proteins
More difficult than genomicsMore difficult than genomics
44 2020 Simple chemical makeupSimple chemical makeup complexcomplex
Can duplicateCan duplicate cantcant
We are entering into the postWe are entering into the post
genome eragenome era Meaning much has been done withMeaning much has been done with
the Genesthe Genes not that its a overnot that its a over
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Proteomics..Proteomics..
The relationship between the RNA and the protein it codes areThe relationship between the RNA and the protein it codes areusually very differentusually very different
After translation proteins do changeAfter translation proteins do change So aa sequence do not tell anything about the postSo aa sequence do not tell anything about the post
translation changestranslation changes Proteins are not active until they are combined into a largerProteins are not active until they are combined into a larger
complex or moved to a relevant location inside or outside the cellcomplex or moved to a relevant location inside or outside the cell So aa only hint in these thingsSo aa only hint in these things Also proteins must be handled more carefully in labs as they tendAlso proteins must be handled more carefully in labs as they tend
to change when in touch with an inappropriate materialto change when in touch with an inappropriate material
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Protein Structure PredictionProtein Structure Prediction
Is one of the biggest challengesIs one of the biggest challengesof bioinformatics and esp.of bioinformatics and esp.biochemistrybiochemistry
No algorithm is there now toNo algorithm is there now toconsistently predict the structureconsistently predict the structureof proteinsof proteins
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Structure Prediction methodsStructure Prediction methods
Comparative ModelingComparative Modeling
Target proteins structure isTarget proteins structure iscompared with related proteinscompared with related proteins
Proteins with similar sequencesProteins with similar sequencesare searched for structuresare searched for structures
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PhylogeneticsPhylogenetics
The taxonomical system reflectsThe taxonomical system reflectsevolutionary relationshipsevolutionary relationships
Phylogenetics trees are things which reflectPhylogenetics trees are things which reflectthe evolutionary relationship thru athe evolutionary relationship thru a
picture/graphpicture/graph Rooted trees where there is only oneRooted trees where there is only one
ancestorancestor
Un rooted trees just showing theUn rooted trees just showing therelationshiprelationship
Phylogenetic tree reconstruction algorithmsPhylogenetic tree reconstruction algorithmsare also an area of researchare also an area of research
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Applications.Applications.
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Medical ImplicationsMedical Implications
PharmacogenomicsPharmacogenomics
Not all drugs work on all patients, some goodNot all drugs work on all patients, some gooddrugs cause death in some patientsdrugs cause death in some patients
So by doing a gene analysis before theSo by doing a gene analysis before thetreatment the offensive drugs can be avoidedtreatment the offensive drugs can be avoided
Also drugs which cause death to most can beAlso drugs which cause death to most can beused on a minority to whose genes that drug isused on a minority to whose genes that drug iswell suitedwell suited volunteers wanted!volunteers wanted!
Customized treatmentCustomized treatment
Gene TherapyGene Therapy
Replace or supply the defective or missing geneReplace or supply the defective or missing gene E.g: Insulin and Factor VIII or HaemophiliaE.g: Insulin and Factor VIII or Haemophilia
BioWeapons (??)BioWeapons (??)
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Diagnosis ofDiseaseDiagnosis ofDisease
Diagnosis of diseaseDiagnosis of disease Identification of genes which cause theIdentification of genes which cause the
disease will help detect disease at earlydisease will help detect disease at earlystage e.g. Huntington diseasestage e.g. Huntington disease --
SymptomsSymptoms uncontrollable dance likeuncontrollable dance like
movements, mental disturbance,movements, mental disturbance,personality changes and intellectualpersonality changes and intellectualimpairmentimpairment
Death in 10Death in 10--15 years15 years The gene responsible for the disease hasThe gene responsible for the disease has
been identifiedbeen identified
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Drug DesignDrug Design
Can go up to 15yrs andCan go up to 15yrs and$700million$700million
One of the goals ofOne of the goals of
bioinformatics is to reduce thebioinformatics is to reduce thetime and cost involved with it.time and cost involved with it.
The processThe process
DiscoveryDiscovery Computational methods canComputational methods can
improves thisimproves this
TestingTesting
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DiscoveryDiscovery
Target identificationTarget identification Identifying the molecule on which theIdentifying the molecule on which the
germs relies for its survivalgerms relies for its survival
Then we develop another moleculeThen we develop another moleculei.e. drug which will bind to the targeti.e. drug which will bind to the target
So the germ will not be able to interactSo the germ will not be able to interactwith the target.with the target.
Proteins are the most common targetsProteins are the most common targets
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DiscoveryDiscovery
For example HIV produces HIVFor example HIV produces HIVprotease which is a protein andprotease which is a protein andwhich in turn eat other proteinswhich in turn eat other proteins
This HIV protease has anThis HIV protease has an activeactivesitesite where it binds to otherwhere it binds to othermoleculesmolecules
So HIV drug will go and bindSo HIV drug will go and bindwith that active sitewith that active site
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DiscoveryDiscovery
Lead compounds are theLead compounds are themolecules that go and bind tomolecules that go and bind tothe target proteins active sitethe target proteins active site
Traditionally this has been a trialTraditionally this has been a trialand error methodand error method
Now this is being moved into theNow this is being moved into the
realm of computersrealm of computers
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Related ComputerRelated Computer
Technology.Technology.
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PERLPERL
Perl is commonly used forPerl is commonly used forbioinformatics calculations as itsbioinformatics calculations as itsability to manipulate characterability to manipulate charactersymbolssymbols
The default CGI languageThe default CGI language
It started out as a scripting languageIt started out as a scripting languagebut has become a fully fledgedbut has become a fully fledged
languagelanguage IT has everything now, even webIT has everything now, even web
service supportservice support
http://bio.perl.orghttp://bio.perl.org
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The place of XML & WebThe place of XML & WebServicesServices Various markup languages are being createdVarious markup languages are being created
Gene Markup language etc to representGene Markup language etc to representsequence/gene datasequence/gene data
Web ServicesWeb Services program to program interaction,program to program interaction,making the web application centric as opposed tomaking the web application centric as opposed tohuman centrichuman centric
So this has to platform language independentSo this has to platform language independent Protocols like SOAP help in this regardProtocols like SOAP help in this regard In bioinformatics various databases are being used,In bioinformatics various databases are being used,
different platforms, languages etcdifferent platforms, languages etc So web services helps achieve platformSo web services helps achieve platform
independence and program interactionindependence and program interaction Since sequence data bases are in various formats,Since sequence data bases are in various formats,
platforms SOAP also helps in this regardsplatforms SOAP also helps in this regards
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Data bases and MiningData bases and Mining
Lot of the sequence databases areLot of the sequence databases areavailable publiclyavailable publicly
As there is a DB involved variousAs there is a DB involved various
data mining techniques are used todata mining techniques are used topull the data outpull the data out
As there is a lot of literatureAs there is a lot of literature articlesarticlesetcetc on this area a data mining onon this area a data mining onthe literature.the literature.
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European Molecular BiologyEuropean Molecular BiologyNetwork (EMBnet)Network (EMBnet)
A central system for sharing, trainingA central system for sharing, trainingand centralizing up to date bio infoand centralizing up to date bio info
Some of the EMBnet sites are:Some of the EMBnet sites are:
SQENETSQENET http://www.seqnet.dl.ac.ukhttp://www.seqnet.dl.ac.uk
UCLUCL http://www.biochem.ucl.ac.uk/bsm/dbbrohttp://www.biochem.ucl.ac.uk/bsm/dbbro
wser/embnet/wser/embnet/ EBIEBI European BioinformaticsEuropean Bioinformatics
InstituteInstitute www.ebi.ac.ukwww.ebi.ac.uk
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ReferencesReferences
Dan E. Krane and Michael L. RaymerDan E. Krane and Michael L. Raymer
Basic Concepts of BioinformaticsBasic Concepts of Bioinformatics
Arthur M LeskArthur M Lesk
Intro to BioinformaticsIntro to Bioinformatics T.K. Attwood & D. J. ParryT.K. Attwood & D. J. Parry--SmithSmith
Intro to BioinformaticsIntro to Bioinformatics
The genetic RevolutionThe genetic Revolution
Dr Patrick DixonDr Patrick Dixon
ProfDavid Gilberts SiteProfDavid Gilberts Site
http://www.brc.dcs.gla.ac.uk/~drg/http://www.brc.dcs.gla.ac.uk/~drg/