0000000000936815

AUTHOR

Pablo Riesgo-ferreiro

0000-0003-2739-1315

showing 2 related works from this author

Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates

2021

Due to the widespread of the COVID-19 pandemic, the SARS-CoV-2 genome is evolving in diverse human populations. Several studies already reported different strains and an increase in the mutation rate. Particularly, mutations in SARS-CoV-2 spike-glycoprotein are of great interest as it mediates infection in human and recently approved mRNA vaccines are designed to induce immune responses against it. We analyzed 1,036,030 SARS-CoV-2 genome assemblies and 30,806 NGS datasets from GISAID and European Nucleotide Archive (ENA) focusing on non-synonymous mutations in the spike protein. Only around 2.5% of the samples contained the wild-type spike protein with no variation from the reference. Among…

RNA virusesMutation rateCoronavirusesEpidemiologyMolecular biologyT-LymphocytesMutantGene Identification and Analysismedicine.disease_causeGenomeWhite Blood CellsDatabase and Informatics MethodsSequencing techniquesMutation RateAnimal CellsDNA sequencingPathology and laboratory medicineGeneticsMutationMultidisciplinaryT CellsMicrobial MutationQRHigh-Throughput Nucleotide SequencingGenomicsMedical microbiologyVirusesSpike Glycoprotein CoronavirusMedicineSARS CoV 2PathogensCellular TypesTranscriptome AnalysisSequence AnalysisResearch ArticleNext-Generation SequencingSARS coronavirusBioinformaticsImmune CellsScienceImmunologyProtein domainSequence alignmentGenomicsGenome ViralBiologyMicrobiologyAntibodiesDNA sequencingProtein DomainsGeneticsmedicineHumansMutation DetectionPandemicsMedicine and health sciencesBlood CellsBiology and life sciencesSARS-CoV-2OrganismsViral pathogensComputational BiologyCOVID-19Cell BiologyGenome AnalysisMicrobial pathogensResearch and analysis methodsMolecular biology techniquesMutationSequence AlignmentPLOS ONE
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NeoFox: annotating neoantigen candidates with neoantigen features

2020

Abstract Summary The detection and prediction of true neoantigens is of great importance for the field of cancer immunotherapy. Wesearched the literature for proposed neoantigen features and integrated them into a toolbox called NEOantigen Feature toolbOX (NeoFox). NeoFox is an easy-to-use Python package that enables the annotation of neoantigen candidates with 16 neoantigen features. Availability and implementation NeoFox is freely available as an open source Python package released under the GNU General Public License (GPL) v3 license at https://github.com/TRON-Bioinformatics/neofox. Supplementary information Supplementary data are available at Bioinformatics online.

Statistics and ProbabilitySupplementary data0303 health sciencesInformation retrievalComputer science030302 biochemistry & molecular biologyPython (programming language)BiochemistryToolbox3. Good healthComputer Science Applications03 medical and health sciencesComputational MathematicsAnnotationOpen sourceComputational Theory and MathematicsMolecular Biologycomputer030304 developmental biologycomputer.programming_languageBioinformatics
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