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Tae-Hyuk Ahn

Showing results (1-10 of 27) with videos related to

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Bioinformatics (Oxford, England)|October 1, 2014
Sigma: strain-level inference of genomes from metagenomic analysis for biosurveillanceTae-Hyuk Ahn, Juanjuan Chai, Chongle Pan
Life (Basel, Switzerland)|May 28, 2022
MegaD: Deep Learning for Rapid and Accurate Disease Status Prediction of Metagenomic SamplesYassin Mreyoud, Myoungkyu Song, Jihun Lim, et al.
Bioinformatics (Oxford, England)|June 25, 2013
Sipros/ProRata: a versatile informatics system for quantitative community proteomicsYingfeng Wang, Tae-Hyuk Ahn, Zhou Li, et al.
Biodata Mining|August 22, 2021
Comparison of 16S and whole genome dog microbiomes using machine learningScott Lewis, Andrea Nash, Qinghong Li, et al.
Biology Direct|August 3, 2019
Massive metagenomic data analysis using abundance-based machine learningZachary N Harris, Eliza Dhungel, Matthew Mosior, et al.
BMC Evolutionary Biology|October 9, 2014
Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFamJuanjuan Chai, Guruprasad Kora, Tae-Hyuk Ahn, et al.
Briefings in Bioinformatics|April 24, 2025
Bioinformatic approaches to blood and tissue microbiome analyses: challenges and perspectivesJammi Prasanthi Sirasani, Cory Gardner, Gihwan Jung, et al.
Database : the Journal of Biological Databases and Curation|April 30, 2019
YeasTSS: an integrative web database of yeast transcription start sitesJonathan McMillan, Zhaolian Lu, Judith S Rodriguez, et al.
NAR Genomics and Bioinformatics|November 22, 2021
TSSr: an R package for comprehensive analyses of TSS sequencing dataZhaolian Lu, Keenan Berry, Zhenbin Hu, et al.
Stats|June 3, 2024
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman DivergenceTong Si, Yunge Wang, Lingling Zhang, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|October 1, 2014
Sigma: strain-level inference of genomes from metagenomic analysis for biosurveillanceTae-Hyuk Ahn, Juanjuan Chai, Chongle Pan
Life (Basel, Switzerland)|May 28, 2022
MegaD: Deep Learning for Rapid and Accurate Disease Status Prediction of Metagenomic SamplesYassin Mreyoud, Myoungkyu Song, Jihun Lim, et al.
Bioinformatics (Oxford, England)|June 25, 2013
Sipros/ProRata: a versatile informatics system for quantitative community proteomicsYingfeng Wang, Tae-Hyuk Ahn, Zhou Li, et al.
Biodata Mining|August 22, 2021
Comparison of 16S and whole genome dog microbiomes using machine learningScott Lewis, Andrea Nash, Qinghong Li, et al.
Biology Direct|August 3, 2019
Massive metagenomic data analysis using abundance-based machine learningZachary N Harris, Eliza Dhungel, Matthew Mosior, et al.
BMC Evolutionary Biology|October 9, 2014
Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFamJuanjuan Chai, Guruprasad Kora, Tae-Hyuk Ahn, et al.
Briefings in Bioinformatics|April 24, 2025
Bioinformatic approaches to blood and tissue microbiome analyses: challenges and perspectivesJammi Prasanthi Sirasani, Cory Gardner, Gihwan Jung, et al.
Database : the Journal of Biological Databases and Curation|April 30, 2019
YeasTSS: an integrative web database of yeast transcription start sitesJonathan McMillan, Zhaolian Lu, Judith S Rodriguez, et al.
NAR Genomics and Bioinformatics|November 22, 2021
TSSr: an R package for comprehensive analyses of TSS sequencing dataZhaolian Lu, Keenan Berry, Zhenbin Hu, et al.
Stats|June 3, 2024
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman DivergenceTong Si, Yunge Wang, Lingling Zhang, et al.
Pageof 3