Author

Riccardo Panero

Institute of Molecular and Clinical Ophthalmology BaselORCID 0000-0002-1813-4301Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Francesca CorderoiD· 2 shared Maddalena ArigoniiD· 2 shared Marco BeccutiiD· 2 shared Martina OliveroiD· 2 shared Raffaele CalogeroiD· 2 shared Ákos KusnyerikiD· 1 shared Aldin SrdanoviciD· 1 shared Alessandro WeisziD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Francesca CorderoORCID

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3 papers

Recent·Most cited

NeuroscienceCellPeer-reviewedSep 1, 2020

Cell types of the human retina and its organoids at single-cell resolution: developmental convergence, transcriptomic identity, and disease map

Cameron S. Cowan, Magdalena Renner, Martina De Gennaro…·Botond Roska

This study compares cell-type development and transcriptomes in human retinal organoids and adult retinas, finding convergence in transcriptomes and cell-type-specific disease gene expression.

654 citationstop 1%

humanscRNA-seq

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BioinformaticsBMC BioinformaticsPeer-reviewedOct 1, 2018

Reproducible Bioinformatics Project: A community for reproducible bioinformatics analysis pipelines

Neha Kulkarni, Luca Alessandrì, Riccardo Panero…·Raffaele Calogero

The paper introduces a reproducible bioinformatics project framework using Docker and R to ensure consistent and replicable analysis workflows across different systems.

61 citationstop 2%

experimental assaysoftware / tool

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GenomicsbioRxivPreprintApr 14, 2018

Complementary information on single nucleotide variants, INDELs and functional translocations can be obtained with RNAseq using different library preparations

Riccardo Panero, Maddalena Arigoni, Martina Olivero…·Raffaele Calogero

The paper compares two RNA-seq library preparation protocols, showing ACCESS detects more coding SNVs/INDELs but POLYA is better for UTRs, with no advantage for fusion transcripts.

DOI 10.1101/301010

bulk RNA-seqstatistical model

𝕏 PostBluesky