Author

Michael Poidinger

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

Anand Andiappan· 1 shared Bernett Lee· 1 shared Francesca CorderoiD· 1 shared Francesca Zolezzi· 1 shared Josephine Lum· 1 shared Marco BeccutiiD· 1 shared Matteo Carrara· 1 shared Olaf RötzschkeiD· 1 shared

Activity by Year

2015-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEvolutionary Biology

Anand Andiappan

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2 papers

Recent·Most cited

Analysis of archaic human haplotypes suggest 5-hmC to act as epigenetic guide for meiotic point recombination

Bernett Lee, Samantha Cyrill, Wendy Lee, Rosella Melchiotti, Anand Andiappan, Michael Poidinger, Olaf Rötzschke

The paper analyzes archaic human haplotypes to show 5-hmC marks guide meiotic point recombination towards functionally relevant genomic regions.

bioRxiv · Dec 2, 2017 · PreprintEvolutionary Biology

Alternative splicing detection workflow needs a careful combination of sample prep and bioinformatics analysis

Matteo Carrara, Josephine Lum, Francesca Cordero, Marco Beccuti, Michael Poidinger, Susanna Donatelli, Raffaele A Calogero, Francesca Zolezzi

The paper evaluates how sample prep and bioinformatics analysis affect alternative splicing detection, finding that low-input methods like NuGEN v2 are less effective than high-input methods like TruSeq.

BMC Bioinformatics · Jun 1, 2015Peer-reviewedGenomics