Nuno A. Fonseca

ORCID: 0000-0003-4832-578X
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Genomics and Phylogenetic Studies
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Data Mining Algorithms and Applications
  • Genomics and Chromatin Dynamics
  • Environmental DNA in Biodiversity Studies
  • Molecular Biology Techniques and Applications
  • Bioinformatics and Genomic Networks
  • Chromosomal and Genetic Variations
  • Gene expression and cancer classification
  • Logic, Reasoning, and Knowledge
  • RNA Research and Splicing
  • Identification and Quantification in Food
  • Semantic Web and Ontologies
  • Rough Sets and Fuzzy Logic
  • Plant Reproductive Biology
  • Plant Molecular Biology Research
  • Plant and animal studies
  • Evolution and Genetic Dynamics
  • Epigenetics and DNA Methylation
  • Advanced Database Systems and Queries
  • Cancer-related molecular mechanisms research
  • Microbial Community Ecology and Physiology
  • Data Management and Algorithms

Centro de Investigação em Biodiversidade e Recursos Genéticos
2023-2024

European Bioinformatics Institute
2013-2023

Universidade do Porto
2009-2023

Novametrics (United Kingdom)
2021

University of Trás-os-Montes and Alto Douro
2021

University of Lisbon
2020-2021

Image Metrics (United Kingdom)
2021

Calouste Gulbenkian Foundation
2020

Center for Neurosciences
2019

University of Coimbra
2019

The process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly such into high-quality, finished sequences remains challenging. Many tools are available, but they differ greatly in terms their performance (speed, scalability, hardware requirements, acceptance newer read technologies) final output (composition assembled sequence). More importantly, it largely unclear how best assess the quality sequences. Assemblathon competitions...

10.1186/2047-217x-2-10 article EN GigaScience 2013-07-22

ArrayExpress (https://www.ebi.ac.uk/arrayexpress) is an archive of functional genomics data from a variety technologies assaying modalities genome, such as gene expression or promoter occupancy. The number experiments based on sequencing technologies, in particular RNA-seq experiments, has been increasing over the last few years and submissions have overtaken microarray 12 months. Additionally, there significant increase investigating single cells, rather than bulk samples, known single-cell...

10.1093/nar/gky964 article EN cc-by Nucleic Acids Research 2018-10-10
Esther Rheinbay Morten Muhlig Nielsen Federico Abascal Jeremiah A. Wala Ofer Shapira and 95 more Grace Tiao Henrik Hornshøj Julian M. Hess Randi Istrup Juul Ziao Lin Lars Feuerbach Radhakrishnan Sabarinathan Tobias Madsen Jaegil Kim Loris Mularoni Shimin Shuai Andrés Lanzós Carl Herrmann Yosef E. Maruvka Ciyue Shen Samirkumar B. Amin Pratiti Bandopadhayay Johanna Bertl Keith A. Boroevich John Busanovich Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan David Craft Priyanka Dhingra Klev Diamanti Nuno A. Fonseca Abel González-Pérez Qianyun Guo Mark P. Hamilton Nicholas J. Haradhvala Hong Chen Keren Isaev Todd A. Johnson Malene Juul André Kahles Abdullah Kahraman Young-Wook Kim Jan Komorowski Kiran Kumar Sushant Kumar Donghoon Lee Kjong-Van Lehmann Yilong Li Eric Minwei Liu Lucas Lochovsky Keunchil Park Oriol Pich Nicola D. Roberts Gordon Saksena Steven E. Schumacher Nikos Sidiropoulos Lina Sieverling Nasa Sinnott-Armstrong Chip Stewart David Tamborero José M. C. Tubío Husen M. Umer Liis Uusküla-Reimand Claes Wadelius Lina Wadi Xiaotong Yao Cheng‐Zhong Zhang Jing Zhang James E. Haber Asger Hobolth Marcin Imieliński Manolis Kellis Michael S. Lawrence Christian von Mering Hidewaki Nakagawa Benjamin J. Raphael Mark A. Rubin Chris Sander Lincoln D. Stein Joshua M. Stuart Tatsuhiko Tsunoda David A. Wheeler Rory Johnson Jüri Reimand Mark Gerstein Ekta Khurana Peter J. Campbell Núria López-Bigas Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita

The discovery of drivers cancer has traditionally focused on protein-coding genes

10.1038/s41586-020-1965-x article EN cc-by Nature 2020-02-05

Expression Atlas (http://www.ebi.ac.uk/gxa) provides information about gene and protein expression in animal plant samples of different cell types, organism parts, developmental stages, diseases other conditions. It consists selected microarray RNA-sequencing studies from ArrayExpress, which have been manually curated, annotated with ontology terms, checked for high quality processed using standardised analysis methods. Since the last update, has grown seven-fold (1572 as August 2015),...

10.1093/nar/gkv1045 article EN cc-by Nucleic Acids Research 2015-10-19

Low-cost short read sequencing technology has revolutionized genomics, though it is only just becoming practical for the high-quality de novo assembly of a novel large genome. We describe Assemblathon 1 competition, which aimed to comprehensively assess state art in methods when applied current technologies. In collaborative effort, teams were asked assemble simulated Illumina HiSeq data set an unknown, diploid A total 41 assemblies from 17 different groups received. Novel haplotype aware...

10.1101/gr.126599.111 article EN cc-by-nc Genome Research 2011-09-16

Abstract Expression Atlas is EMBL-EBI’s resource for gene and protein expression. It sources compiles data on the abundance localisation of RNA proteins in various biological systems contexts provides open access to this research community. With increased availability single cell RNA-Seq datasets public archives, we have now extended with a new added-value service display expression cells. Single Cell was launched 2018 currently includes 123 studies from 12 species. The website can be...

10.1093/nar/gkz947 article EN cc-by Nucleic Acids Research 2019-10-16

Expression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species contexts, such as tissue, developmental stage, disease or cell type. The available public controlled access data sets from sources are curated re-analysed using standardized, open source pipelines made for queries, download visualization. As of August 2017, holds 3,126 studies across 33 species, including 731 plants. Data large-scale RNA...

10.1093/nar/gkx1158 article EN cc-by Nucleic Acids Research 2017-11-06
Claudia Calabrese Natalie R. Davidson Deniz Demircioğlu Nuno A. Fonseca Yao He and 95 more André Kahles Kjong-Van Lehmann Fenglin Liu Yuichi Shiraishi Cameron M. Soulette Lara Urban Claudia Calabrese Natalie R. Davidson Deniz Demircioğlu Nuno A. Fonseca Yao He André Kahles Kjong-Van Lehmann Fenglin Liu Yuichi Shiraishi Cameron M. Soulette Lara Urban Liliana Greger Siliang Li Dongbing Liu Marc D. Perry Qian Xiang Fan Zhang Junjun Zhang Peter J. Bailey Serap Erkek Katherine A. Hoadley Yong Hou Matthew R. Huska Helena Kilpinen Jan O. Korbel Maximillian G. Marin Julia Markowski Tannistha Nandi Qiang Pan‐Hammarström Chandra Sekhar Pedamallu Reiner Siebert Stefan G. Stark Hong Su Patrick Tan Sebastian M. Waszak Christina K. Yung Shida Zhu Philip Awadalla Chad J. Creighton Matthew Meyerson B. F. Francis Ouellette Kui Wu Huanming Yang Nuno A. Fonseca André Kahles Kjong-Van Lehmann Lara Urban Cameron M. Soulette Yuichi Shiraishi Fenglin Liu Yao He Deniz Demircioğlu Natalie R. Davidson Claudia Calabrese Junjun Zhang Marc D. Perry Qian Xiang Liliana Greger Siliang Li Dongbing Liu Stefan G. Stark Fan Zhang Samirkumar B. Amin Peter J. Bailey Aurélien Chateigner Isidro Cortés‐Ciriano Brian Craft Serap Erkek Milana Frenkel‐Morgenstern Mary J. Goldman Katherine A. Hoadley Yong Hou Matthew R. Huska Ekta Khurana Helena Kilpinen Jan O. Korbel Fabien C. Lamaze David K. Chang Xiaobo Li Xinyue Li Xingmin Liu Maximillian G. Marin Julia Markowski Tannistha Nandi Morten M. Nielsen Akinyemi I. Ojesina Qiang Pan‐Hammarström Peter J. Park Chandra Sekhar Pedamallu

Abstract Transcript alterations often result from somatic changes in cancer genomes 1 . Various forms of RNA have been described cancer, including overexpression 2 , altered splicing 3 and gene fusions 4 ; however, it is difficult to attribute these underlying genomic owing heterogeneity among patients tumour types, the relatively small cohorts for whom samples analysed by both transcriptome whole-genome sequencing. Here we present, our knowledge, most comprehensive catalogue...

10.1038/s41586-020-1970-0 article EN cc-by Nature 2020-02-05

Expression Atlas (http://www.ebi.ac.uk/gxa) is a value-added database providing information about gene, protein and splice variant expression in different cell types, organism parts, developmental stages, diseases other biological experimental conditions. The consists of selected high-quality microarray RNA-sequencing experiments from ArrayExpress that have been manually curated, annotated with Experimental Factor Ontology terms processed using standardized analysis methods. new version...

10.1093/nar/gkt1270 article EN cc-by Nucleic Acids Research 2013-12-04

Abstract Tumors subvert immune cell function to evade responses, yet the complex mechanisms driving evasion remain poorly understood. Here we show that tumors induce de novo steroidogenesis in T lymphocytes anti-tumor immunity. Using a transgenic steroidogenesis-reporter mouse line identify and characterize steroidogenic cells, defining global gene expression identity of these steroid-producing cells regulatory networks by using single-cell transcriptomics. Genetic ablation restricts primary...

10.1038/s41467-020-17339-6 article EN cc-by Nature Communications 2020-07-17

Abstract Motivation: A ubiquitous and fundamental step in high-throughput sequencing analysis is the alignment (mapping) of generated reads to a reference sequence. To accomplish this task, numerous software tools have been proposed. Determining mappers that are most suitable for specific application not trivial. Results: This survey focuses on classifying through wide number characteristics. The goal allow practitioners compare more easily find those their problem. Availability: regularly...

10.1093/bioinformatics/bts605 article EN cc-by Bioinformatics 2012-10-11

Transcriptional dysregulation induced by aberrant transcription factors (TF) is a key feature of cancer, but its global influence on drug sensitivity has not been examined. Here, we infer the transcriptional activity 127 TFs through analysis RNA-seq gene expression data newly generated for 448 cancer cell lines, combined with publicly available datasets to survey total 1,056 lines and 9,250 primary tumors. Predicted TF activities are supported their agreement independent shRNA essentiality...

10.1158/0008-5472.can-17-1679 article EN Cancer Research 2017-12-11

Gramene (http://www.gramene.org) is a knowledgebase for comparative functional analysis in major crops and model plant species. The current release, #54, includes over 1.7 million genes from 44 reference genomes, most of which were organized into 62,367 gene families through orthologous paralogous classification, whole-genome alignments, synteny. Additional annotations include ontology-based protein structure function; genetic, epigenetic, phenotypic diversity; pathway associations....

10.1093/nar/gkx1111 article EN cc-by-nc Nucleic Acids Research 2017-10-25
Joana Carlevaro-Fita Andrés Lanzós Lars Feuerbach Chen Hong David Mas-Ponte and 95 more Jakob Skou Pedersen Federico Abascal Samirkumar B. Amin Gary D. Bader Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark P. Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Seungchan Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik G. Larsson Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray Matthew Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Marta Paczkowska Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Jüri Reimand Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Sahinalp Gordon Saksena

Abstract Long non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for resource lncRNAs with validated roles. Furthermore, it remains debated whether mutated can drive tumorigenesis, and such functions could be conserved during evolution. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, we introduce Cancer LncRNA Census (CLC), compilation 122 GENCODE causal roles in phenotypes. In contrast to existing databases, CLC requires...

10.1038/s42003-019-0741-7 article EN cc-by Communications Biology 2020-02-05
Marta Paczkowska Jonathan Barenboim Nardnisa Sintupisut Natalie S. Fox Helen Zhu and 95 more Diala Abd-Rabbo Miles W. Mee Paul C. Boutros Federico Abascal Samirkumar B. Amin Gary D. Bader Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Jaegil Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Şahinalp Gordon Saksena Leonidas Salichos Chris Sander

Multi-omics datasets represent distinct aspects of the central dogma molecular biology. Such high-dimensional profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple using statistical fusion, rationalizes contributing evidence highlights associated genes. As part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing from...

10.1038/s41467-019-13983-9 article EN cc-by Nature Communications 2020-02-05

This paper presents a new meta-heuristic (EPSO) built putting together the best features of evolution strategies (ES) and particle swarm optimization (PSO). Examples superiority EPSO over classical PSO are reported. The also describes application to real world problems, including an in opto-electronics another power systems.

10.1109/cec.2002.1004393 article EN 2003-06-25

Gramene (http://www.gramene.org) is an online resource for comparative functional genomics in crops and model plant species. Its two main frameworks are genomes (collaboration with Ensembl Plants) pathways (The Plant Reactome archival BioCyc databases). Since our last NAR update, the database website adopted a new Drupal management platform. The section features 39 fully assembled reference that integrated using ontology-based annotation analyses, accessed through both visual programmatic...

10.1093/nar/gkv1179 article EN cc-by-nc Nucleic Acids Research 2015-11-08

A vast amount of DNA variation is being identified by increasingly large-scale exome and genome sequencing projects. To be useful, variants require accurate functional annotation a wide range tools are available to this end. McCarthy et al recently demonstrated the large differences in prediction loss-of-function (LoF) when RefSeq Ensembl transcripts used for annotation, highlighting importance reference on which variant based. We describe detailed analysis similarities between gene...

10.1186/1471-2164-16-s8-s2 article EN cc-by BMC Genomics 2015-06-18
Matthew A. Reyna David Haan Marta Paczkowska Lieven P. C. Verbeke Miguél Vázquez and 95 more Abdullah Kahraman Sergio Pulido-Tamayo Jonathan Barenboim Lina Wadi Priyanka Dhingra Raunak Shrestha Gad Getz Michael S. Lawrence Jakob Skou Pedersen Mark A. Rubin David A. Wheeler Søren Brunak José M. G. Izarzugaza Ekta Khurana Kathleen Marchal Christian von Mering S. Cenk Şahinalp Alfonso Valencia Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Rameen Beroukhim Johanna Bertl Keith A. Boroevich John Busanovich Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Qianyun Guo Marta Gut Mark P. Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Manolis Kellis Seungchan Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik Larsson Donghoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Tirso Pons Iker Reyes-Salazar Esther Rheinbay Carlota Rubio-Pérez Gordon Saksena Leonidas Salichos Chris Sander

Abstract The catalog of cancer driver mutations in protein-coding genes has greatly expanded the past decade. However, non-coding are less well-characterized and only a handful recurrent mutations, most notably TERT promoter have been reported. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 across 38 tumor types, we perform multi-faceted pathway network analyses 2583 genomes 27 types compiled by PCAWG...

10.1038/s41467-020-14367-0 article EN cc-by Nature Communications 2020-02-05

Traditional detection of aquatic invasive species via morphological identification is often time-consuming and can require a high level taxonomic expertise, leading to delayed mitigation responses. Environmental DNA (eDNA) approaches multiple using Illumina-based sequencing technology have been used overcome these hindrances, but sample processing lengthy. More recently, portable nanopore has become available, which the potential make molecular more widely accessible substantially decrease...

10.1111/1755-0998.13610 article EN Molecular Ecology Resources 2022-03-19

The genetic code is an abstraction of how mRNA codons and tRNA anticodons molecularly interact during protein synthesis; the stability regulation this interaction remains largely unexplored. Here, we characterized expression genes quantitatively at multiple time points in two developing mouse tissues. We discovered that codon pools are highly stable over development simply reflect genomic background; contrast, precise gene families required to create corresponding transcriptomes. dynamic...

10.1101/gr.176784.114 article EN cc-by Genome Research 2014-08-13

Accurately quantifying gene expression levels is a key goal of experiments using RNA-sequencing to assay the transcriptome. This typically requires aligning short reads generated genome or transcriptome before pre-defined sets genes. Differences in alignment/quantification tools can have major effect upon found with important consequences for biological interpretation. Here we address two main issues: do different analysis pipelines affect inferred from RNA-seq data? And, how close are...

10.1371/journal.pone.0107026 article EN cc-by PLoS ONE 2014-09-30
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