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Syllabus 2015-16 - 72512001 - Genomics, Bioinformatics and Systems Biology (Genómica, bioinformática y biología de sistemas)

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  • Level 1: Tutorial support sessions, materials and exams in this language
  • Level 2: Tutorial support sessions, materials, exams and seminars in this language
  • Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: Máster en Biotecnología y biomedicina
FACULTY: Centro de Estudios de Postgrado
ACADEMIC YEAR: 2015-16
COURSE: Genomics, Bioinformatics and Systems Biology
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Genomics, Bioinformatics and Systems Biology
CODE: 72512001 ACADEMIC YEAR: 2015-16
LANGUAGE: English LEVEL: 1
ECTS CREDITS: 4.0 YEAR: 1 SEMESTER: AN
2. LECTURER BASIC INFORMATION
NAME: ESTEBAN RUIZ, FRANCISCO JOSÉ
DEPARTMENT: U103 - BIOLOGÍA EXPERIMENTAL
FIELD OF STUDY: 050 - BIOLOGÍA CELULAR
OFFICE NO.: B3 - B3-342 E-MAIL: festeban@ujaen.es P: 935212760
WEBSITE: http://www4.ujaen.es/~festeban/
ORCID: https://orcid.org/0000-0002-7135-2973
LANGUAGE: English LEVEL: 1
3. CONTENT DESCRIPTION

An introduction to structural genomics: genome sequencing and phylogenetic structure.

An intoriduction to funtional genomics: tools for high-throughput gene expression and gene annotation.

Data Bases in Molecular Genetics:

  1. Nucleotides: EMBL and Genbank (including dbGSS, dbSTS, dbSNP).
  2. Proteins: NCBI, Expasy, EMBL; NCBI, RELIBASE, 3Dee.
  3. Human gene project (Sanger), and other sequenced genomes (S. cerevisiae, B. subtilis, A. Thaliana, etc).
  4. References (PubMed).
  5. OMIM (On line Mendelian Inheritance in Man).

DNA and protein sequencing and analysis:

Training in automatical DNA sequencing ADN en secuenciados automático. Sequence analysis (BLAST, FASTA, CLUSTAL, seqaid, DNAsis, GCG).

Other Bioinformatic tools in Molecular Genetics:

  1. Gene searching (Genscan, BCM search launcher).
  2. PCR (oligo, Melting).
  3. ARN (Fold).
  4. Proteins and motifs (EMBOSS, Prosite, Expasy).
  5. GWAS tools

Data analysis and modelling:

  1. Microarrays data analysis. (R, NIH DAVID).
  2. Data integration: multivariate analysis and data mining.
  3. Molecular networks.
  4. Systems Biotechnology.
  5. Systems Biology and Systems Dynamics.

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

All sessions will be mainly practical using computers (with a general theoretical introduction). Students have to write an essay also discussed in an oral presentaion.  

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

Quality; format; references; innovation; grammar; style. Knowledge acquisition.

6. BOOKLIST
MAIN BOOKLIST:
  • Analysis of microarray gene expression data [Recurso electrónico]. Edition: -. Author: Lee, Mei-Ling Ting. Publisher: Boston : Kluwer Academic, c2004.  (Library)
  • Teoría y ejercicios prácticos de dinámica de sistemas. Edition: [3ª̇ ed. revisada y ampliada]. Author: Martín García, Juan. Publisher: Barcelona : El autor, 2011  (Library)
ADDITIONAL BOOKLIST:
  • Modern Multivariate Statistical Techniques [Recurso electrónico] : Regression, Classification, and M. Edition: -. Author: Izenman , Alan. Publisher: New York, NY : Springer-Verlag New York, 2008.  (Library)
  • Systems biologY [Recurso electrónico]. Edition: -. Author: -. Publisher: Weinheim : Wiley-Blackwell, 2012  (Library)
  • Genetics: analysis of genes and genomes. Edition: 7th ed.. Author: Hartl, Daniel L.. Publisher: Sudbury : Jones and Bartlett, 2009.  (Library)