SlideShare a Scribd company logo
1 of 46
Introducción a la Bioinformática ,[object Object],[object Object],[object Object],[object Object]
What is Bioinformatics?
Introduction  ,[object Object],[object Object]
What is Bioinformatics?  ,[object Object]
What is Bioinformatics?  ,[object Object],[object Object]
Bioinformatics ,[object Object]
Bioinformatics ,[object Object],[object Object]
GOALS ,[object Object]
GOALS ,[object Object]
 
APPLICATIONS ,[object Object],[object Object],[object Object],[object Object]
APPLICATIONS ,[object Object],[object Object],[object Object]
APPLICATIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
APPLICATIONS ,[object Object]
APPLICATIONS ,[object Object]
APPLICATIONS ,[object Object]
Single-nucleotide polymorphism ( SNP ) ,[object Object],[object Object],[object Object],[object Object]
SNP and Human Disease ,[object Object],[object Object],[object Object]
SNP and Human Disease ,[object Object],[object Object],[object Object]
Cystic Fibrosis ,[object Object],[object Object],[object Object]
APPLICATIONS ,[object Object]
LIMITATIONS ,[object Object],[object Object]
LIMITATIONS ,[object Object]
NEW THEMES ,[object Object],[object Object]
Databases DNA Sequence Data EBI: http://www.ebi.ac.uk/ NCBI:http://www.ncbi.nlm.nih.gov/ DDBJ:http://www.ddbj.nig.ac.jp / (Sequence Retrieval System)  NCBI ( National Center for Biotechnology Information) ( European Bioinformatics Institute)
Introduction ,[object Object],[object Object],[object Object],[object Object]
WHAT IS A DATABASE? ,[object Object],[object Object],[object Object],[object Object]
Which courses are students from Texas taking?
[object Object]
MODERN DNA SEQUENCING
Historically there are two main methods of DNA sequencing: Maxam & Gilbert , using chemical  sequencing Sanger , using  dideoxynucleotides .   Modern sequencing equipment uses the principles of the Sanger technique.
How to obtain sequences
Step 1- Before submission for sequencing DNA purity & concentration is checked with the  ‘ Nanodrop ’
A Nanodrop readout of known concentration to be run as a control
Step 2 -Samples are received  and stored in the refrigerator and a request filed
Cost?
Samples arrive in Eppendorf tubes
Step 3 - paperwork. Each request is assigned a  ‘ well ’  in the sample tray and volumes of primers, water, dye, etc are calculated. A typical  ‘ run ’  has samples from a number of researchers
Step 4- Samples are agitated then centrifuged in an Ultracentrifuge to be sure they are in the bottom of their Eppendorf  tubes.
Step 5 - Reagents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Micropipettors come in a range of sizes. They have disposable tips that hold tiny amounts of required reagents.
Step 6 - Preparing the wells ,[object Object],[object Object],[object Object]
Sample tray and micropipettor. Each tray holds 96 samples
Step 7 - The samples are run through a cycle sequencing process to get the fluorescent dyes incorporated by the DNA. The DNA and reagents are alternately heated and cooled over a 2 1/2 hour period.
A Sequence print-out from a control sample
THANK YOU

More Related Content

What's hot

Threading modeling methods
Threading modeling methodsThreading modeling methods
Threading modeling methodsratanvishwas
 
Forward and reverse genetics
Forward and reverse geneticsForward and reverse genetics
Forward and reverse geneticsSrishti Singh
 
The Gene Ontology & Gene Ontology Annotation resources
The Gene Ontology & Gene Ontology Annotation resourcesThe Gene Ontology & Gene Ontology Annotation resources
The Gene Ontology & Gene Ontology Annotation resourcesMelanie Courtot
 
Yeast two hybrid system
Yeast two hybrid systemYeast two hybrid system
Yeast two hybrid systemiqraakbar8
 
SAGE (Serial analysis of Gene Expression)
SAGE (Serial analysis of Gene Expression)SAGE (Serial analysis of Gene Expression)
SAGE (Serial analysis of Gene Expression)talhakhat
 
Uni prot presentation
Uni prot presentationUni prot presentation
Uni prot presentationRida Khalid
 
Cre- lox recombination
Cre- lox recombinationCre- lox recombination
Cre- lox recombinationPranavKhudania
 
Next Generation Sequencing (NGS)
Next Generation Sequencing (NGS)Next Generation Sequencing (NGS)
Next Generation Sequencing (NGS)LOGESWARAN KA
 
MASSIVELY PARELLEL SIGNATURE SEQUENCING
MASSIVELY PARELLEL SIGNATURE SEQUENCINGMASSIVELY PARELLEL SIGNATURE SEQUENCING
MASSIVELY PARELLEL SIGNATURE SEQUENCINGAashish Patel
 
Database in bioinformatics
Database in bioinformaticsDatabase in bioinformatics
Database in bioinformaticsVinaKhan1
 

What's hot (20)

NCBI
NCBINCBI
NCBI
 
Threading modeling methods
Threading modeling methodsThreading modeling methods
Threading modeling methods
 
Gene expression profiling
Gene expression profilingGene expression profiling
Gene expression profiling
 
Forward and reverse genetics
Forward and reverse geneticsForward and reverse genetics
Forward and reverse genetics
 
The Gene Ontology & Gene Ontology Annotation resources
The Gene Ontology & Gene Ontology Annotation resourcesThe Gene Ontology & Gene Ontology Annotation resources
The Gene Ontology & Gene Ontology Annotation resources
 
dot plot analysis
dot plot analysisdot plot analysis
dot plot analysis
 
Yeast two hybrid system
Yeast two hybrid systemYeast two hybrid system
Yeast two hybrid system
 
Structural genomics
Structural genomicsStructural genomics
Structural genomics
 
Rna seq
Rna seqRna seq
Rna seq
 
SAGE (Serial analysis of Gene Expression)
SAGE (Serial analysis of Gene Expression)SAGE (Serial analysis of Gene Expression)
SAGE (Serial analysis of Gene Expression)
 
Genomic Data Analysis
Genomic Data AnalysisGenomic Data Analysis
Genomic Data Analysis
 
Microarray
Microarray Microarray
Microarray
 
Uni prot presentation
Uni prot presentationUni prot presentation
Uni prot presentation
 
Cre- lox recombination
Cre- lox recombinationCre- lox recombination
Cre- lox recombination
 
Exprssion vector
Exprssion vectorExprssion vector
Exprssion vector
 
Next Generation Sequencing (NGS)
Next Generation Sequencing (NGS)Next Generation Sequencing (NGS)
Next Generation Sequencing (NGS)
 
MASSIVELY PARELLEL SIGNATURE SEQUENCING
MASSIVELY PARELLEL SIGNATURE SEQUENCINGMASSIVELY PARELLEL SIGNATURE SEQUENCING
MASSIVELY PARELLEL SIGNATURE SEQUENCING
 
Database in bioinformatics
Database in bioinformaticsDatabase in bioinformatics
Database in bioinformatics
 
Molecular mapping
Molecular mappingMolecular mapping
Molecular mapping
 
Pymol
PymolPymol
Pymol
 

Similar to Introducción a la bioinformatica

Bioinformatics
BioinformaticsBioinformatics
BioinformaticsAmna Jalil
 
LECTURE NOTES ON BIOINFORMATICS
LECTURE NOTES ON BIOINFORMATICSLECTURE NOTES ON BIOINFORMATICS
LECTURE NOTES ON BIOINFORMATICSMSCW Mysore
 
BIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesBIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesAmos Watentena
 
Bioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST ToolBioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST ToolJesminBinti
 
INBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria LópezINBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria LópezINBIOMEDvision
 
Introduction to Bioinformatics
Introduction to BioinformaticsIntroduction to Bioinformatics
Introduction to BioinformaticsAsad Afridi
 
Health Informatics- Module 5-Chapter 3.pptx
Health Informatics- Module 5-Chapter 3.pptxHealth Informatics- Module 5-Chapter 3.pptx
Health Informatics- Module 5-Chapter 3.pptxArti Parab Academics
 
Bioinformatics Applications in Biotechnology
Bioinformatics Applications in BiotechnologyBioinformatics Applications in Biotechnology
Bioinformatics Applications in BiotechnologyUshanandini Mohanraj
 
4.1 introduction to bioinformatics
4.1 introduction to bioinformatics4.1 introduction to bioinformatics
4.1 introduction to bioinformaticsPrabhakar Pawar
 
GENOMICS AND BIOINFORMATICS
GENOMICS AND BIOINFORMATICSGENOMICS AND BIOINFORMATICS
GENOMICS AND BIOINFORMATICSsandeshGM
 

Similar to Introducción a la bioinformatica (20)

Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Bioinformatics.pptx
Bioinformatics.pptxBioinformatics.pptx
Bioinformatics.pptx
 
Bioinformatics .pptx
Bioinformatics .pptxBioinformatics .pptx
Bioinformatics .pptx
 
LECTURE NOTES ON BIOINFORMATICS
LECTURE NOTES ON BIOINFORMATICSLECTURE NOTES ON BIOINFORMATICS
LECTURE NOTES ON BIOINFORMATICS
 
BIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesBIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And Challenges
 
origin, history.pptx
origin, history.pptxorigin, history.pptx
origin, history.pptx
 
Bioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST ToolBioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST Tool
 
INBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria LópezINBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria López
 
Introduction to Bioinformatics
Introduction to BioinformaticsIntroduction to Bioinformatics
Introduction to Bioinformatics
 
Health Informatics- Module 5-Chapter 3.pptx
Health Informatics- Module 5-Chapter 3.pptxHealth Informatics- Module 5-Chapter 3.pptx
Health Informatics- Module 5-Chapter 3.pptx
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Computational biology
Computational biologyComputational biology
Computational biology
 
Bioinformatics Applications in Biotechnology
Bioinformatics Applications in BiotechnologyBioinformatics Applications in Biotechnology
Bioinformatics Applications in Biotechnology
 
Bioinformatics in present and its future
Bioinformatics in present and its futureBioinformatics in present and its future
Bioinformatics in present and its future
 
rheumatoid arthritis
rheumatoid arthritisrheumatoid arthritis
rheumatoid arthritis
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Bio informatics
Bio informaticsBio informatics
Bio informatics
 
Bio informatics
Bio informaticsBio informatics
Bio informatics
 
4.1 introduction to bioinformatics
4.1 introduction to bioinformatics4.1 introduction to bioinformatics
4.1 introduction to bioinformatics
 
GENOMICS AND BIOINFORMATICS
GENOMICS AND BIOINFORMATICSGENOMICS AND BIOINFORMATICS
GENOMICS AND BIOINFORMATICS
 

Recently uploaded

APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 

Recently uploaded (20)

APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 

Introducción a la bioinformatica

  • 1.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.  
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. Databases DNA Sequence Data EBI: http://www.ebi.ac.uk/ NCBI:http://www.ncbi.nlm.nih.gov/ DDBJ:http://www.ddbj.nig.ac.jp / (Sequence Retrieval System) NCBI ( National Center for Biotechnology Information) ( European Bioinformatics Institute)
  • 26.
  • 27.
  • 28. Which courses are students from Texas taking?
  • 29.
  • 31. Historically there are two main methods of DNA sequencing: Maxam & Gilbert , using chemical sequencing Sanger , using dideoxynucleotides . Modern sequencing equipment uses the principles of the Sanger technique.
  • 32. How to obtain sequences
  • 33. Step 1- Before submission for sequencing DNA purity & concentration is checked with the ‘ Nanodrop ’
  • 34. A Nanodrop readout of known concentration to be run as a control
  • 35. Step 2 -Samples are received and stored in the refrigerator and a request filed
  • 36. Cost?
  • 37. Samples arrive in Eppendorf tubes
  • 38. Step 3 - paperwork. Each request is assigned a ‘ well ’ in the sample tray and volumes of primers, water, dye, etc are calculated. A typical ‘ run ’ has samples from a number of researchers
  • 39. Step 4- Samples are agitated then centrifuged in an Ultracentrifuge to be sure they are in the bottom of their Eppendorf tubes.
  • 40.
  • 41. Micropipettors come in a range of sizes. They have disposable tips that hold tiny amounts of required reagents.
  • 42.
  • 43. Sample tray and micropipettor. Each tray holds 96 samples
  • 44. Step 7 - The samples are run through a cycle sequencing process to get the fluorescent dyes incorporated by the DNA. The DNA and reagents are alternately heated and cooled over a 2 1/2 hour period.
  • 45. A Sequence print-out from a control sample