Laura Rodriguez-Navas
Computer Engineer in Barcelona Supercomputing Center (BSC)
SEEK ID: https://workflowhub.eu/people/4
Location:
Spain
Expertise: Bioinformatics, Computer Science, AI, Machine Learning
Tools: Not specified
https://orcid.org/0000-0003-4929-1219 
Team roles
Project administrator
Their tagsGalaxyProject SARS-CoV-2 (Barcelona Supercomputing Center (BSC-CNS)) ; nf-core viralrecon (Barcelona Supercomputing Center (BSC-CNS)) ; MGnify (Barcelona Supercomputing Center (BSC-CNS)) ; EOSC-Life - Demonstrator 7: Rare Diseases (Barcelona Supercomputing Center (BSC-CNS)) ; iPC: individualizedPaediatricCure (Barcelona Supercomputing Center (BSC-CNS)) ; EJPRD WP13 case-studies workflows (Barcelona Supercomputing Center (BSC-CNS))
Related items
EOSC-Life brings together the 13 Life Science ‘ESFRI’ research infrastructures (LS RIs) to create an open, digital and collaborative space for biological and medical research.
The project will publish ‘FAIR’ data and a catalogue of services provided by participating RIs for the management, storage and reuse of data in the European Open Science Cloud (EOSC).
Teams: EOSC-Life - Demonstrator 7: Rare Diseases, EOSC-Life WP3
Web page: https://www.eosc-life.eu/
A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, virAnnot pipeline, Ay Lab, iPC: individualizedPaediatricCure, Harkany Lab, Genomics Coordination Center, EJPRD WP13 case-studies workflows, Common Workflow Language (CWL) community, Testing, SeBiMER, IAA-CSIC, MAB - ATGC
Web page: Not specified
The goal of COVID-19-Biohackathon 2020 (COVID-19-BH20) is to develop and gather computational tools that can be useful for studying the biology of the virus and the disease.
The COVID-19 Programme in Workflow Hub aims to gather workflows for the analysis of COVID-19 molecular biology data and their metadata. In this programme, all workflows and their metadata will be curated and made interoperable, reusable and reproducible. All workflows and their metadata will be easily accessible to everyone ...
Teams: Connor Lab, GalaxyProject SARS-CoV-2, InSaFLU, nf-core viralrecon, CWL workflow SARS-CoV-2, V-Pipe, Test team
Web page: https://github.com/virtual-biohackathons/covid-19-bh20
EJPRD WP13 case-studies workflows from phase 1.
Space: Independent Teams
Public web page: https://www.ejprarediseases.org/
Space: Independent Teams
Public web page: https://ipc-project.eu/
Start date: 1st Jan 2019
End date: 31st May 2023
An integrative analysis pipeline of genomic and transcriptomic human data for disentangling the genetic origin of a rare-disease in the context of the European Open Science Cloud.
Space: EOSC-Life
Public web page: https://www.eosc-life.eu/services/demonstrators/
Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org
Space: COVID-19 Biohackathon
Public web page: https://github.com/galaxyproject/SARS-CoV-2
MGnify (formerly known as EBImetagenomics) is a free resource for the assembly, analysis, archiving and browsing all types of microbiome derived sequence data.
Space: This Team is not associated with a Space
Public web page: Not specified
Rare disease researchers workflow is that they submit their raw data (fastq), run the mapping and variant calling RD-Connect pipeline and obtain unannotated gvcf files to further submit to the RD-Connect GPAP or analyse on their own.
This demonstrator focuses on the variant calling pipeline. The raw genomic data is processed using the RD-Connect pipeline (Laurie et al., 2016) running on the standards (GA4GH) compliant, interoperable container ...
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COnSensus Interaction Network InFErence Service
Inference framework for reconstructing networks using a consensus approach between multiple methods and data sources.
Reference
[Manica, Matteo, Charlotte, Bunne, Roland, Mathis, Joris, Cadow, Mehmet Eren, Ahsen, Gustavo A, Stolovitzky, and María Rodríguez, Martínez. "COSIFER: a python package for the consensus inference of molecular ...
COnSensus Interaction Network InFErence Service
Inference framework for reconstructing networks using a consensus approach between multiple methods and data sources.
Reference
[Manica, Matteo, Charlotte, Bunne, Roland, Mathis, Joris, Cadow, Mehmet Eren, Ahsen, Gustavo A, Stolovitzky, and María Rodríguez, Martínez. "COSIFER: a python package for the consensus inference of molecular ...
Type: Common Workflow Language
Creators: Laura Rodriguez-Navas, José Mª Fernández
Submitter: Laura Rodriguez-Navas
VIRify
VIRify is a recently developed pipeline for the detection, annotation, and taxonomic classification of viral contigs in metagenomic and metatranscriptomic assemblies. The pipeline is part of the repertoire of analysis services offered by MGnify. VIRify’s taxonomic classification relies on the detection of taxon-specific profile hidden Markov models (HMMs), built upon a set of 22,014 orthologous protein domains and referred to as ViPhOGs. VIRify was implemented in CWL. What do I need? The ...
Type: Nextflow
Creators: Martin Beracochea, Martin Hölzer, Alexandre Almeida, Guillermo Rangel-Pineros and Ekaterina Sakharova
Submitter: Laura Rodriguez-Navas
VIRify
VIRify is a recently developed pipeline for the detection, annotation, and taxonomic classification of viral contigs in metagenomic and metatranscriptomic assemblies. The pipeline is part of the repertoire of analysis services offered by MGnify. VIRify’s taxonomic classification relies on the detection of taxon-specific profile hidden Markov models (HMMs), built upon a set of 22,014 orthologous protein domains and referred to as ViPhOGs. VIRify was implemented in CWL. What do I need? The ...
Type: Common Workflow Language
Creators: Martin Beracochea, Martin Hölzer, Alexandre Almeida, Guillermo Rangel-Pineros and Ekaterina Sakharova
Submitter: Laura Rodriguez-Navas
