scispace - formally typeset
R

Roderic Guigó

Researcher at Pompeu Fabra University

Publications -  475
Citations -  121421

Roderic Guigó is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Computer science & Gene. The author has an hindex of 108, co-authored 304 publications receiving 106914 citations. Previous affiliations of Roderic Guigó include University of Barcelona & Harvard University.

Papers
More filters
Journal ArticleDOI

Cytoplasmic long noncoding RNAs are frequently bound to and degraded at ribosomes in human cells

TL;DR: It is shown that blocking of ribosomal elongation results in stabilization of many associated lncRNAs, suggesting that the ribosome is the default destination for the majority of cytoplasmic long noncoding RNAs and may play a role in their degradation.
Journal ArticleDOI

Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Jialiang Yang, +146 more
- 19 Oct 2015 - 
TL;DR: In this article, the aging gene expression signatures are very tissue specific and enrichment for some well-known aging components such as mitochondria biology is observed in many tissues, and different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger "co-aging" than other tissues based on principal component analysis.
Journal ArticleDOI

Genome and transcriptome analysis of the Mesoamerican common bean and the role of gene duplications in establishing tissue and temporal specialization of genes

TL;DR: The genome and transcriptome data generated for a Mesoamerican genotype represent a counterpart to the genomic resources already available for the Andean gene pool, and will allow the genetic dissection of the characters involved in the domestication and adaptation of the crop, and their further implementation in breeding strategies.
Journal ArticleDOI

Structured RNAs in the ENCODE selected regions of the human genome

TL;DR: In this paper, the authors presented a computational study to detect functional RNA structures within the ENCODE regions of the human genome using three recently introduced programs based on either phylogenetic-stochastic context-free grammar (EvoFold) or energy directed folding (RNAz and AlifoldZ), yielding several thousand candidate structures.