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Who we areThe GTPB runs face-to-face Bioinformatics Training Courses regularly at the Instituto Gulbenkian de Ciência since 1999. Up to now, more than 5000 course participants have acquired practical skills that they can use with a high degree independence. The Programme consists in a series of short, intensive hands-on courses delivered and fully documented in English. The design of the courses is based on sets of carefully chosen exercises, flanked by short lectures and participative interaction sessions. |
Courses held in 2017 |
| Title |
| PDA17 Proteomics Data Analysis with Lennart Martens, Harald Barsnes and Astrid Guldbrandsen |
| PGDH17 Population Genetics and Demographic History: model-based approaches with Mark Beaumont, Lounes Chikhi, Willy Rodriguez, Bárbara Parreira and Vitor Sousa |
| ABSTAT17 Advanced Biostatistics with Lisete Sousa and Carina Silva |
| ADER17 Analysis of Differential Expression with RNAseq with Daniel Sobral, Daniel Faria and Mauro Truglio |
| ELB17F Entry Level Bioinformatics our entry level course with a soft introduction to NGS data analysis with David P. Judge, Pedro Fernandes and Daniel Sobral |
| RODS17 Reproducible, Open Data Science for Life Scientists please check http://osodos.org for similar content. with Rutger Vos and Pedro Fernandes |
| IBSTATB17 Introductory Biostatistics for Biologists with Ana Luisa Papoila and Fernanda Diamantino |
| IO17 Large Scale Bioinformatics for Immuno-Oncology with Francesca Finotello and Federica Eduati |
| ELB17S Entry Level Bioinformatics (second course 2017) our entry level course with a soft introduction to NGS data analysis with David P. Judge, Pedro Fernandes and Daniel Sobral |
| PM17 Precision Medicine with Fatima AlShahrour, Elena Piñero and Javier Perales |
| PPB17 Programming in Python for Biologists with Allegra Via, Pedro Fernandes and David P. Judge |
| ADER17S Analysis of Differential Expression with RNAseq (second course 2017) with Daniel Sobral, Daniel Faria and Daniel Neves |
| To request more information, please send an e-mail to: bicourses ( AT ) igc.gulbenkian.pt |
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Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal
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