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Huaiyu Mi

Researcher at University of Southern California

Publications -  66
Citations -  44394

Huaiyu Mi is an academic researcher from University of Southern California. The author has contributed to research in topics: Systems Biology Graphical Notation & Annotation. The author has an hindex of 36, co-authored 62 publications receiving 36659 citations. Previous affiliations of Huaiyu Mi include Artificial Intelligence Center & Celera Corporation.

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Journal ArticleDOI

The sequence of the human genome.

J. Craig Venter, +272 more
- 16 Feb 2001 - 
TL;DR: Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems are indicated.
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PANTHER: a library of protein families and subfamilies indexed by function.

TL;DR: The PANTHER/X ontology is used to give a high-level representation of gene function across the human and mouse genomes, and the family HMMs are used to rank missense single nucleotide polymorphisms (SNPs) according to their likelihood of affecting protein function.
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Large-scale gene function analysis with the PANTHER classification system

TL;DR: This protocol provides a detailed description of how to analyze genome-wide experimental data with the PANTHER classification system, and redesigned the website interface to improve both user experience and the system's analytical capability.
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PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools

TL;DR: Protein Analysis Through Evolutionary Relationships is a resource for the evolutionary and functional classification of genes from organisms across the tree of life, and an entirely new PANTHER GO-slim is developed, containing over four times as many Gene Ontology terms as the previous GO- slim.
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The Gene Ontology Resource: 20 years and still GOing strong

Seth Carbon, +192 more
TL;DR: GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models.