Biomolecular Databases (2008/2009)

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Course code
4S00173
Credits
3
Coordinator
Alejandro Giorgetti
Teaching is organised as follows:
Unit Credits Academic sector Period Academic staff
Teoria 1 BIO/10-BIOCHEMISTRY 1° Sem Alejandro Giorgetti
Laboratorio 2 BIO/10-BIOCHEMISTRY 1° Sem Alejandro Giorgetti

Learning outcomes

Module: Teoria
-------
Here we offer the student to get a deep insight of the theoretical basis of the principal bioinformatic tools. In particular, special attention is put on the biomolecular data bases.


Module: Laboratorio
-------
Here we offer the student to get a deep insight of the theoretical basis of the principal bioinformatic tools. In particular, special attention is put on the biomolecular data bases.

Syllabus

Module: Teoria
-------
Introduction to bioinformatics.

Biomolecular Data bases:

PubMed
Nucleotidic Data Bases: EML, GenBank
Protein Data Bases: PIR, SwissProt, TREMBL
Structural Data Bases: PDB, NDB.
Genomic Projects: ENSEMBL, TIGR
Gene Onthology

Search and Alignments Algoritms
FASTA and BLAST
PSI-BLAST and profile definition
Substitution matrices
Alignment algoritms: Needleman e Wunsch and Smith-Waterman
Multiple sequence alignment programs: CLUSTALW, T-Coffee
ROC curves


Module: Laboratorio
-------
Introduction to bioinformatics.

Biomolecular Data bases:

PubMed
Nucleotidic Data Bases: EML, GenBank
Protein Data Bases: PIR, SwissProt, TREMBL
Structural Data Bases: PDB, NDB.
Genomic Projects: ENSEMBL, TIGR
Gene Onthology

Search and Alignments Algoritms
FASTA and BLAST
PSI-BLAST and profile definition
Substitution matrices
Alignment algoritms: Needleman e Wunsch and Smith-Waterman
Multiple sequence alignment programs: CLUSTALW, T-Coffee
ROC curves

Assessment methods and criteria

Module: Teoria
-------
written


Module: Laboratorio
-------
written

Studying

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