Author

Kaibo Liu

Baidu (China)ORCID 0000-0002-9053-8810Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Kaibo Liu1 paper · University of Wisconsin–Madison

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Boxiang LiuiD· 2 shared He ZhangiD· 2 shared Liang HuangiD· 2 shared Liang ZhangiD· 2 shared David H. MathewsiD· 1 shared Sizhen LiiD· 1 shared Yuchen BianiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

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7 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Boxiang LiuORCID

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2 papers

Recent·Most cited

BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedDec 9, 2021

LinearTurboFold: Linear-Time Global Prediction of Conserved Structures for RNA Homologs with Applications to SARS-CoV-2

Sizhen Li, He Zhang, Liang Zhang…·Liang Huang

LinearTurboFold predicts conserved RNA structures for SARS-CoV-2 homologs efficiently, capturing long-range interactions and enabling global structural analysis of full-length genomes.

23 citations

long-read sequencingdeep learning

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BioinformaticsJournal of Medical Internet ResearchPeer-reviewedSep 3, 2020

CoV-Seq: SARS-CoV-2 Genome Analysis and Visualization

Boxiang Liu, Kaibo Liu, He Zhang…·Liang Huang

CoV-Seq provides a webserver and command-line tool for rapid analysis and visualization of SARS-CoV-2 genomes, automatically predicting gene boundaries and identifying variants.

31 citations

whole-genome sequencingexperimental assay

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