Author
John B Hogenesch
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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2014-2016 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 23 mutual co-author links5 papers
Recent·Most cited
Benchmark Analysis of Algorithms for Determining and Quantifying Full-length mRNA Splice Forms from RNA-Seq Data
Katharina Hayer, Angel Pizzaro, Nicholas L Lahens, John B Hogenesch, Gregory R Grant
This study benchmarks algorithms for determining full-length mRNA splice forms from RNA-Seq data, finding most methods inaccurate even with idealized data and failing under real-world conditions.
Bioinformatics · Sep 3, 2015Peer-reviewedBioinformatics
Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
Michael I Love, John B Hogenesch, Rafael A Irizarry
The paper introduces a method to correct RNA-seq transcript abundance estimates by modeling fragment sequence bias, reducing false positives related to alternative isoform usage.
bioRxiv · Aug 29, 2015Bioinformatics
Assessing the prevalence of mycoplasma contamination in cell culture via a survey of NCBI’s RNA-seq archive
Anthony O Olarerin-George, John B Hogenesch
This study assesses mycoplasma contamination in cell culture using NCBI RNA-seq data, finding 11% of samples contaminated and 61 host genes significantly associated with contamination.
bioRxiv · Jul 11, 2014Genomics
IVT-seq reveals extreme bias in RNA-sequencing
Nicholas F Lahens, Ibrahim Halil Kavakli, Ray Zhang, Katharina Hayer, Michael B Black, Hannah Dueck, Angel Pizarro, Junhyong Kim, Rafael A Irizarry, Russell S Thomas, Gregory R Grant, John B Hogenesch
IVT-seq identifies significant technical biases in RNA-seq library preparation and sequencing, revealing coverage inconsistencies and rRNA depletion as major contributors.
Genome Biology · Jun 30, 2014Peer-reviewedGenomics