Author

Eng-Ti Leslie Low

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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

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Kuang-Lim Chan· 1 shared Michael Hogan· 1 shared Mohd Firdaus-Raih· 1 shared Rozana Rosli· 1 shared Tatiana TatarinovaiD· 1 shared

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2017-2017 · peak 1/yr

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1 shared paperBioinformatics

Kuang-Lim Chan

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1 paper

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedJan 27, 2017

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

Kuang-Lim Chan, Rozana Rosli, Tatiana Tatarinova…·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.

DOI 10.1186/s12859-016-1426-6

plant (other)whole-genome sequencing

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