TITULO: Genética molecular básica para la Bioinformática

IMPARTIDO POR: Romi Pena

LENGUA: Impartido en castellano con diapositivas en inglés

FECHA: 24 a 26 de Julio de 2017

LUGAR: Edificio del Departamento de Ciencia Animal (7G). Universidad Politécnica de Valencia. Aula 1 (Planta baja) . Pinchar aquí para ver el plano de situación

HORARIO:

LUNES 24:             9:00 a 13:30 y 15:30 a 18:30

MARTES 25:          9:00 a 13:30 y 15:30 a 18:30

MIERCOLES 26:     9:00 a 14:00

MATRICULA: Se paga un precio de 50 euros por la gestión y los diplomas. Acceder a la siguiente dirección y seguir las instrucciones:

https://poseidon.cfp.upv.es/portal-formacion/alumno/gestion_matricula.jsp?idioma=es&cid=52975&hash=974b9613ca13c117cf47cb098819c71e934f9c43994f884a9e4a9e4a9e489c4990&

 

PROGRAMA

 

SECTION 1.            THE VERY BASIC OF GENOMES: STRUCTURE, CONTENT, FUNCTION

 

1.1.       What is the genome?

1.2.       What does the genome do?

1.3.       How is the genome organised?

1.4.       Coding/non-coding DNA

1.5.       Basic structure of a gene

1.6.       What is a gene?

1.7.       Regulatory DNA

1.8.       Repetitive DNA

1.9.       A quick guide to Ensembl – explore your favourite genome

1.10.    Other resources to study a gene

1.11.    Gene Ontology – the overinformant

 

SECTION 2.            VERY VERY VERY BASIC MOLECULAR TECHNIQUES (we need this for later)

 

2.1.   PCR

2.3.4.                   Who is Taq pol?

2.1.2.                   Why does it make so many mistakes?

2.1.3.                   What makes a PCR “specific”?

2.1.4.                   Growing curve of a PCR reaction

2.1.5.                   Practical – design your own primers

 

2.2.   Restriction Enzymes

 

2.3.   Hybridisation (probes)

2.3.1.                   Probes and primers

2.3.2.                   Colour-label your own DNA

2.3.3.                   Sources of errors -  to be or not to be… specific!

 

2.4.   Sanger sequencing reaction

 

 

SECTION 3.            MOLECULAR TECHNIQUES IN GENOMIC APPROACHES

 

3.1.   SNP-chips

3.3.4.                   The science behind the chip

3.1.2.                   Sources of error

 

3.2.   Measuring expression

3.2.1.                   qPCR, reference genes

3.2.2.                   Microarrays

3.2.3.                   RNA-seq

3.2.4.                   Do they measure the same things? Limitations of each

 

3.3.   NGS – reading full genomes

3.3.1.                   What to expect when sequencing a genome

3.3.2.                   Limitations and priors

3.3.3.                   How to detect some errors

3.3.4.                   Variants: epigenome-seq

§      DNA methylation – bisulphite-seq

§      Histone modifications

§      DNaseI hypersensitivity sites – DHS-seq

§      TFBS  - ChIP-seq

 

3.4.   RNA-seq

3.4.1.                   Molecular basis

3.4.2.                   What to expect.

3.4.3.                   Limitations, priors and biases.

3.4.4.                   Error rate. Can we detect the errors or not?

3.4.5.                   Common interpretation errors: oversqueezing and overconcluding

3.4.6.                   Variants

§      Exome-seq

§      miRNA-seq

§      snc/lncRNA-seq

 

 

SECTION 4.            FUTURE PERSPECTIVES AND CONCLUSIONS