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Seminars, events & talks

Monday, 16th April, 2018, All day event

Integrative Biomedical Informatics

3rd European Conference on Translational Bioinformatics: Biomedical Big Data Supporting Precision Medicine

The conference will be held at Barcelona Biomedical Research Park (PRBB) on April 16-17th 2018. This meeting follows on from the success of the European Conference on Translational Bioinformatics (ECTB) series hold in 2016 at the University of Copenhagen, Denmark; and in 2017 at the European Bioinformatics Institute, UK. As in past editions, the 2018 meeting will bring together scientists, developers, and entrepreneurs who are interested in translating genomics and bioinformatics research into healthcare tools and services. The meeting will be relevant for researchers, computational biologists and entrepreneurs from start-ups and established companies interested in epidemiology, cancer genomics and precision medicine. Registration is open here.  For further information of the event, speakers and agenda, please visit the website

Room PRBB Auditorium

Friday, 13th April, 2018, 11:00 - 12:00

Computational Biophysics

Artificial intelligence: From predictions to sequential decision making

Speaker: Anders Jonsson, AI&ML Research group, Information and Communication Technologies Dep, UPF

Room Xipre (1st Floor, 173.06-183.01), PRBB Building

Tuesday, 20th March, 2018, 11:00

Systems Pharmacology

Thesis defense: "Next generation of informatics tools for big data analytics in drug discovery".

The defense of Mª Carmen Carrascosa Baena will take place the 20th of March, at 11.00. 

Room Classroom number 61.127, placed at the first floor of the Doctor Aiguader building (Dr. Aiguader 80, Barcelona)

Thursday, 8th February, 2018, 12:00-13.00

Computational RNA Biology

Measuring ribosome profiling at isoform level: a step towards unveiling alternative splicing funcional impact

The alternative processing of transcribed genomic loci through alternative transcript initiation, splicing and polyadenylation, is an intermediate step in mRNA maturation, between transcription and translation. These mechanisms produce different mature mRNA transcripts and determine the transcript repertoire of cells. There is evidence showing that the differential production of transcript isoforms, especially through the mechanism of alternative splicing, is crucial in multiple biological processes such as cell differentiation, acquisition of tissue-specific functions, DNA repair, as well as in multiple pathologies, including cancer. This has been exhaustively shown at RNA level but it remains elusive at protein level. Sequencing of ribosome-protected RNA fragments, or ribosome profiling, provides detailed information on the transcripts being translated in the cell. In this work, we have developed a pipeline for the quantification of individual transcript coding sequences (CDSs) from ribosome profiling using both RNA-seq and Ribo-seq data from multiple datasets. Moreover, we investigated at wich extend the isoforms that can be detected with ribosome profiling show further evidence of translation.

Speaker: Marina Reixachs Solé, Computational RNA Biology Group, GRIB/UPF

Room Aula room 473.10 (4th floor)

Thursday, 11th January, 2018, 12:00 - 13:00, Chair: Evan Floden

Evolutionary Genomics

The impact of ribosome profiling in the observed conservation patterns of lncRNAs

Several recent studies have noted that a large fraction of long non-coding RNAs (lncRNAs) associate with ribosomes. Deep sequencing of ribosome-protected fragments, or ribosome profiling, provides detailed information on the regions that are translated in a transcript and revealed that many lncRNAs contain translated open reading frames with 3-nucleotide periodicity. However, ribosomes are not specifically selected during the biochemical isolation procedure, and non-ribosomal ribonucleoprotein complexes are also present in these samples. These regions show no periodicity and are highly localized, so ribosome profiling can also identify different RNA-protein complexes with high resolution. In our study we examine the patterns of ribosome profiling in mouse hippocampus to find enrichment of translated open reading frames and ribonucleoprotein complexes in different categories of lncRNAs. We identify conserved regions at sequence level between mouse and human to find putative functional regions in lncRNAs. We examine how the overlap with protein-coding transcripts and promoter signals also affects the conservation of lncRNA sequences.

Speaker: Jorge Ruiz Orera, Evolutionary Genomics (GRIB-IMIM)

Room Aula room 473.10 (4th floor)

Thursday, 14th December, 2017, 12:00

Functional Genomics

Genetic linkage analysis of heritable pulmonary arterial hypertension in a large pedigree identifies candidate modulators of reduced penetrance

Large-scale genetic profiling and clinical sequencing are revealing an increasing number of carriers of disease-causing mutations who do not develop the disease phenotype. This characteristic is clinically reported as a genetic disorder of reduced or incomplete penetrance. Several mechanisms have been proposed to explain reduced penetrance, such as the molecular context of mutations, patient characteristics, such as age or sex, as well as specific environmental conditions that delay or trigger the disease onset. The phenomenon of reduced penetrance constitutes a major challenge in the field of genetic diagnosis and counselling because phenotypes no longer unambiguously exhibit underlying genotypes. Nevertheless, its existence also provides new opportunities to learn how genotypes shape phenotypes. In this talk, I will describe our efforts using linkage analysis to find a genetic modifier that explains the reduced penetrance in a particular genetic disorder: heritable pulmonary arterial hypertension. The results from linkage will be further discussed regarding evidence on haplotype prediction, functional enrichment tests as well other functional genomics tools. These steps are required to narrow down the list of potential candidates mapping the modifier and eventually to hypothesize about a particular genetic mechanism underlying reduced penetrance.

Speaker: Pau Puigdevall - member of the Functional Genomics group of GRIB

Room Aula room 473.10 (4th floor)

Thursday, 9th November, 2017, 12:00

Integrative Biomedical Informatics

PsyGeNET: a knowledge resource on psychiatric diseases and their genes

Psychiatric disorders constitute one of the main causes of disability worldwide. During the past years, considerable research on the genetic architecture of such diseases has been conducted, although little understanding of their etiology has been achieved. The difficulty to access up-to-date, relevant genotype-phenotype information has hampered the application of this wealth of knowledge to translational research and clinical practice in order to improve diagnosis and treatment of psychiatric patients. PsyGeNET has been developed with the aim of supporting research on the genetic architecture of psychiatric diseases, by providing integrated and structured accessibility to their genotype-phenotype association data, together with a set of analysis and visualization tools. PsyGeNET contains up-to-date information on genes associated with mood disorders (depression, bipolar disorder), psychosis (schizophrenia) and substance use disorders (alcohol, cannabis and cocaine use disorders, substance-induced depressive disorder and psychoses). The current version of PsyGeNET (version 2.0) contains 3,771 associations between 1,549 genes and 117 psychiatric disease concepts. PsyGeNET offers several metrics for the prioritization of the information, including the Evidence Index that takes into account the negative evidence found in publications for a particular gene-disease association. The PsyGeNET database has been developed by extracting gene-disease associations from the literature with the text mining tool BeFree (, followed by a process of curation by a team of 22 domain experts. A web-based annotation tool supported the curation process. The data is accessible through a web interface ( and the psygenet2r Bioconductor package ( Moreover, the psygenet2r package implements several functions to visualize and analyze the PsyGeNET data in a clear and meaningful way and allows performing comorbidity analysis based on shared genes. Due to its special focus on psychiatric diseases and comprehensiveness, PsyGeNET represents a valuable resource for the analysis of the molecular underpinning of psychiatric disorders and their comorbidities.

Speaker: Alba Gutiérrez-Sacristán

Room Aula room 473.10 (4th floor)

Wednesday, 18th October, 2017, 12:00

Structural Bioinformatics

How to analyze the structure of proteins without using Cryo-EM

Sesiones científicas, CRG Group Leader Seminars; Organizador: PRBB Group Leader Seminar

Speaker: Miguel Beato / Baldo Oliva / Eduard Sabidó / Roni Wright

Room Sala Ramón y Cajal, PRBB

Friday, 22th September, 2017, 11:00 - 12:00

Computational Biophysics

Molecular simulation methods for ensemble-based drug design

Speaker: Julien Michel, Royal Society University Research Fellow, School of Chemistry Joseph Black Building, University of Edinburgh

Room Xipre (173.06-183.01), PRBB Building

Thursday, 22th June, 2017, 12:00 - 13:00

Integrative Biomedical Informatics

DisGeNET discovery platform 5.0: Illuminating the study of human diseases

In the last few decades, our knowledge about the genetic underpinnings of human diseases has grown at an unprecedented pace. Data resulting from GWAS studies, experiments in animal models, and from exome sequencing pipelines are freely available, but scattered across several repositories. To enable translation of this wealth of knowledge into better disease biomarkers and drug therapies, this information should be made readily available to translational researchers and clinicians. DisGeNET ( is a platform that fulfills this need. It contains one of the largest available collections of genes and variants associated to human diseases. This is achieved by the integration of data from several specialized resources on gene and variant-disease associations with information extracted from automatically mining Medline abstracts. Here, we present DisGeNET 5.0, containing more than 500,000 gene-disease associations, and over 135,000 variant-disease associations. The associations are annotated using community-based standards, including a variety of disease vocabularies and are enriched and expanded by linking them to other key resources covering the chemical and omics spaces. DisGeNET 5.0 also includes several new improvements, besides more disease associations: a) a new curated source: the PsyGeNET database, b) an improvement of the text-mining pipeline to extract gene-disease and variant-disease associations from publications, c) non-coding variants associated to disease, d) disease-phenotype associations, and e) gene-phenotype associations from the Human Phenotype Ontology. With its fifth release, DisGeNET is an established and mature resource, which is increasingly used in the investigation of the genetic basis of human diseases and to support drug discovery projects.

Speaker: Janet Piñero, GRIB (IMIM/UPF)

Room Aula room 473.10 (4th floor) , PRBB

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