Author

Marcos Pérez‐Losada

Milken InstituteORCID 0000-0002-2585-4657Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:simulation· 1 Approach:statistical model· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Keith A. CrandalliD· 2 shared Matthew L. BendalliD· 2 shared Aarón LecandaiD· 1 shared Anton Eliseev· 1 shared Christopher E. OrmsbyiD· 1 shared D. K. NovikiD· 1 shared Douglas F. NixoniD· 1 shared Gustavo Reyes‐TerániD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Keith A. CrandallORCID

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2 papers

Recent·Most cited

Evaluation of haplotype callers for next-generation sequencing of viruses

Anton Eliseev, Keylie M. Gibson, Pavel Avdeyev, D. K. Novik, Matthew L. Bendall, Marcos Pérez‐Losada, Nikita Alexeev, Keith A. Crandall

This study evaluates twelve haplotype callers for NGS viral sequencing, finding they perform poorly under high genetic diversity, with PredictHaplo and PEHaplo showing better accuracy for HIV-like diversity levels.

Infection Genetics and Evolution · Mar 6, 2020Peer-reviewedBioinformatics

Telescope: Characterization of the retrotranscriptome by accurate estimation of transposable element expression

Matthew L. Bendall, Miguel de Mulder Rougvie, L. Iñiguez, Aarón Lecanda, Marcos Pérez‐Losada, Mario Ostrowski, Richard Brad Jones, Lubbertus C. F. Mulder, Gustavo Reyes‐Terán, Keith A. Crandall, Christopher E. Ormsby, Douglas F. Nixon

Telescope accurately estimates transposable element expression in RNA-seq data by resolving ambiguously mapped fragments using a Bayesian model, revealing cell-type specific retrotranscriptome differences.

PLoS Computational Biology · Sep 30, 2019Peer-reviewedGenomics