Author

Michael Hogan

Primary ORCID profile (0000-0003-3702-5079 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Michael HoganiD2 papers · Florida State University

Biology Disciplines

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Bioinformatics· 1

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Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Eng-Ti Leslie Low· 1 shared Kuang-Lim Chan· 1 shared Mohd Firdaus-Raih· 1 shared Rozana Rosli· 1 shared Tatiana TatarinovaiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Eng-Ti Leslie Low

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1 paper

Recent·Most cited

Seqping: Gene Prediction Pipeline for Plant Genomes using Self-Trained Gene Models and Transcriptomic Data

Kuang-Lim Chan, Rozana Rosli, Tatiana Tatarinova, Michael Hogan, Mohd Firdaus-Raih, Eng-Ti Leslie Low

Seqping improves gene prediction in plant genomes by using self-trained HMM models and transcriptomic data, outperforming existing methods with species-specific models.

BMC Bioinformatics · Jan 27, 2017Peer-reviewedBioinformatics