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Liqing Zhang

Researcher at Virginia Tech

Publications -  131
Citations -  4628

Liqing Zhang is an academic researcher from Virginia Tech. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 30, co-authored 120 publications receiving 3566 citations. Previous affiliations of Liqing Zhang include University of Chicago & University of California, Irvine.

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Journal ArticleDOI

Multi-Platform Next-Generation Sequencing of the Domestic Turkey (Meleagris gallopavo): Genome Assembly and Analysis

Rami A. Dalloul, +72 more
- 07 Sep 2010 - 
TL;DR: The combined application of next-generation sequencing platforms has provided an economical approach to unlocking the potential of the turkey genome.
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DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.

TL;DR: The deep learning models developed here offer more accurate antimicrobial resistance annotation relative to current bioinformatics practice, and DeepARG does not require strict cutoffs, which enables identification of a much broader diversity of ARGs.
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Mammalian Housekeeping Genes Evolve More Slowly than Tissue-Specific Genes

TL;DR: The results show that, in comparison to tissue-specific genes, housekeeping genes on average evolve more slowly and are under stronger selective constraints as reflected by significantly smaller values of Ka/Ks, and contrary to the old textbook concept, approximately 74% of theHousekeeping genes in this study belong to multigene families, not significantly different from that of the tissue- specific genes.
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Distinct patterns of SSR distribution in the Arabidopsis thaliana and rice genomes

TL;DR: Insight is provided into the evolution and distribution of SSRs in the two sequenced model plant genomes of monocots and dicots and reveals that the distributions appear highly non-random and vary a great deal in different regions of the genes in the genomes.
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PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions

TL;DR: P PseKNC-General (the general form of pseudo k-tuple nucleotide composition) is developed, that allows for fast and accurate computation of all the widely used nucleotide structural and physicochemical properties of both DNA and RNA sequences.