E

Eduard Serra

Departament de Salut

ORCID: 0000-0003-2895-9857

Publishes on Neurofibromatosis and Schwannoma Cases, Neuroblastoma Research and Treatments, Sarcoma Diagnosis and Treatment. 152 papers and 6k citations.

152Publications
6kTotal Citations

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Top publicationsby citations

karyoploteR: an R/Bioconductor package to plot customizable genomes displaying arbitrary data
Bernat Gel, Eduard Serra|Bioinformatics|2017
Cited by 870Open Access

MOTIVATION: Data visualization is a crucial tool for data exploration, analysis and interpretation. For the visualization of genomic data there lacks a tool to create customizable non-circular plots of whole genomes from any species. RESULTS: We have developed karyoploteR, an R/Bioconductor package to create linear chromosomal representations of any genome with genomic annotations and experimental data plotted along them. Plot creation process is inspired in R base graphics, with a main function creating karyoplots with no data and multiple additional functions, including custom functions written by the end-user, adding data and other graphical elements. This approach allows the creation of highly customizable plots from arbitrary data with complete freedom on data positioning and representation. AVAILABILITY AND IMPLEMENTATION: karyoploteR is released under Artistic-2.0 License. Source code and documentation are freely available through Bioconductor (http://www.bioconductor.org/packages/karyoploteR) and at the examples and tutorial page at https://bernatgel.github.io/karyoploter_tutorial. CONTACT: bgel@igtp.cat.

Revised diagnostic criteria for neurofibromatosis type 1 and Legius syndrome: an international consensus recommendation
Eric Legius, Ludwine Messiaen, P. Wolkenstein et al.|Genetics in Medicine|2021
Cited by 753Open Access

PURPOSE: By incorporating major developments in genetics, ophthalmology, dermatology, and neuroimaging, to revise the diagnostic criteria for neurofibromatosis type 1 (NF1) and to establish diagnostic criteria for Legius syndrome (LGSS). METHODS: We used a multistep process, beginning with a Delphi method involving global experts and subsequently involving non-NF experts, patients, and foundations/patient advocacy groups. RESULTS: We reached consensus on the minimal clinical and genetic criteria for diagnosing and differentiating NF1 and LGSS, which have phenotypic overlap in young patients with pigmentary findings. Criteria for the mosaic forms of these conditions are also recommended. CONCLUSION: The revised criteria for NF1 incorporate new clinical features and genetic testing, whereas the criteria for LGSS were created to differentiate the two conditions. It is likely that continued refinement of these new criteria will be necessary as investigators (1) study the diagnostic properties of the revised criteria, (2) reconsider criteria not included in this process, and (3) identify new clinical and other features of these conditions. For this reason, we propose an initiative to update periodically the diagnostic criteria for NF1 and LGSS.

regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests
Bernat Gel, Anna Díez-Villanueva, Eduard Serra et al.|Bioinformatics|2015
Cited by 646Open Access

MOTIVATION: Statistically assessing the relation between a set of genomic regions and other genomic features is a common challenging task in genomic and epigenomic analyses. Randomization based approaches implicitly take into account the complexity of the genome without the need of assuming an underlying statistical model. SUMMARY: regioneR is an R package that implements a permutation test framework specifically designed to work with genomic regions. In addition to the predefined randomization and evaluation strategies, regioneR is fully customizable allowing the use of custom strategies to adapt it to specific questions. Finally, it also implements a novel function to evaluate the local specificity of the detected association. AVAILABILITY AND IMPLEMENTATION: regioneR is an R package released under Artistic-2.0 License. The source code and documents are freely available through Bioconductor (http://www.bioconductor.org/packages/regioneR). CONTACT: rmalinverni@carrerasresearch.org.