Thursday, 9th February, 2012, 11:00
Speaker: Endre Sebestyen. Regulatory Genomics Group- GRIB
Wednesday, 18th January, 2012, 12:00h
The unfolding of the instructions encoded in the genome is triggered by the transcription of DNA into RNA, and the subsequent processing of the resulting primary RNA transcripts into functional mature RNAs. RNA is thus the first phenotype of the genome, mediating all other phenotypic changes at the organism level caused by changes in the DNA sequence. While current technology is too primitive to provide accurate measurements of the RNA content of the cell, the recent development of Massively Parallel Sequencing Instruments has dramatically increased the resolution with which we can monitor cellular RNA. Using these instruments, the ENCODE project has surveyed the RNA content of multiple cell lines and subcellular compartments. The results of these surveys underscore pervasive transcription, as well as great RNA heterogeneity between and within cells. Comparison of RNA surveys with other genome wide epigenetic surveys—such as those of binding sites for Transcription Factors, or of Histone modifications—reveals a very tightly coupling between the different pathways involved in RNA processing, transcription and splicing in particular.
Speaker: Roderic Guigó, CRG
Room Auditorium PRBB
Thursday, 26th May, 2011, 11:00
"High-Throughput sequencing (HTS) has revolutionized the study of gene regulation and expression. However, there is a strong need for methods that facilitate the integration of multiple datasets to build predictive models. We present a computational framework to analyze and integrate epigenetic data, which allows the development of predictive models of gene regulation. Within this framework, we provide tools to carry out analysis of HTS data from DNA-protein binding, RNA-protein binding and RNA expression assays. In particular, we have developed a method that can effectively characterize significant changes in epigenetic patterns genome-wide, including promoters, enhancers and genic regions. Furthermore, we provide a tool for building predictive models based on Machine Learning (ML) from multiple datasets. Using the published datasets, we show that our ML methodology allows us to predict the expression change from chromatin properties with 95% accuracy. Additionally, our tools allow the integration of a variety of input datasets and the application of many different ML methods. We finally discuss how this computational framework can be applied to the study of the epigenetic changes in cancer."
Speaker: Eduardo Eyras - Computational Genomics, UPF
Room 473.10 PRBB
Thursday, 5th May, 2011, 11:00 AM
A revolution is taking place in the study of gene regulation: High-throughput sequencing has become the basis of various techniques, like ChIP-Seq, RNA-Seq, CLIP-Seq, and new techniques evolve constantly. But do we need a new specialized tool to analyze each data type? Not necessarily! We propose Pyicos (http://sourceforge.net/projects/pyicos/), a generic tool that can adapt to various data types, by providing operations that are typically required for their manipulation and analysis. Pyicos is open-source and its input are genomic positions obtained from the mapper of choice. We show the high accuracy of Pyicos by comparing it to methods, specifically designed for the analysis of ChIP-Seq, RNA-Seq or CLIP-Seq data. With its flexibility and suitability for integration, Pyicos provides a convenient basis for the study of gene regulation.
Speaker: Sonja Althammer - Biomedical Informatics, UPF
Thursday, 14th April, 2011, Thu, Apr 14, 2011 11:00 AM - Thu, Apr 14, 2011 12:00 PM
Speaker: Larry Stanton - Deputy director of GIS Singapore
Room 473.10 PRBB
Wednesday, 20th October, 2010, 11:00
When provided with some files with mapped reads coming from a Chip-Seq experiment, lots of the work has already been done. Extracting the biological information from them should be an easy job, right? Surprisingly, lots of bioinformaticians are finding that the methods and software packages proposed for the analysis of this kind of data doesn’t fit their particular needs. Because these experiments have gone through a long process and they commonly targets a particular Protein-DNA interactions, this last step normally takes longer than expected. Moreover, the technical difficulties of dealing with read files that can be on the Gigabyte-Scale, the different formats used by different laboratories and tools and the novelty of the field are extra headaches for the researcher performing this kind of analysis. This seminar is designed as an introduction where I will work in real-time with a sample dataset, showing how to use bash and Pyicos, a novel toolbox for the analysis of mapped reads coming from Deep Sequencing experiments.
Speaker: Juan Gonzalez-Vallinas-Regulatory Genomics Group, GRIB
Room PRBB room 173.06-183.01 (Xipre)
Thursday, 20th May, 2010, Thu, May 20, 2010 11:00 AM
Speaker: Mireya Plass Host lab: Eduardo Eyras, Computational Genomics, UPF
Room Room 473.10 AULA - 4th floor
Thursday, 28th May, 2009, 11:00
Speaker: Chaysavanh Manichanh - Institut de Recerca Vall d'Hebron
Room 473.10 - PRBB
Thursday, 12th February, 2009, 11:00
Speaker: Thomas Lingner - Department of Bioinformatics, Göttingen University
Room room 473.10-PRBB
Thursday, 6th November, 2008, 11:00
Speaker: Daniel Aguilar - Structural Biology, GRIB, UPF
Room room 473.10-PRBB
There are no incoming Seminars & Events.