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Wei Chen

Researcher at North China University of Science and Technology

Publications -  166
Citations -  13614

Wei Chen is an academic researcher from North China University of Science and Technology. The author has contributed to research in topics: Genome & Pseudo amino acid composition. The author has an hindex of 58, co-authored 157 publications receiving 11456 citations. Previous affiliations of Wei Chen include Chengdu University of Traditional Chinese Medicine & Virginia Tech.

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Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres

Andrew H. Paterson, +77 more
- 20 Dec 2012 - 
TL;DR: It is shown that an abrupt five- to sixfold ploidy increase approximately 60 million years (Myr) ago, and allopolyploidy reuniting divergent Gossypium genomes approximately 1–2 Myr ago, conferred about 30–36-fold duplication of ancestral angiosperm genes in elite cottons, genetic complexity equalled only by Brassica among sequenced angiosperms.
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iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

TL;DR: A predictor, called ‘iRSpot-PseDNC’, was developed for identifying the recombination hotspots and coldspots and the overall success rate achieved was >82% in identifying recombination spots in Saccharomyces cerevisiae, indicating the new predictor is promising or at least may become a complementary tool to the existing methods in this area.
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iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.

TL;DR: It was discovered through an in-depth statistical analysis that the distribution of distances between the transcription start sites and the translation initiation sites were governed by the gamma distribution, which may provide a fundamental physical principle for studying the σ54 promoters.
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PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.

TL;DR: A flexible and user-friendly web server is presented by which users can easily generate many different modes of PseKNC according to their need by selecting various parameters and physicochemical properties and it is anticipated that the PseK NC web server will become a very useful tool in computational genomics and genome sequence analysis.
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iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

TL;DR: iNuc-PseKNC, a predictor developed for predicting nucleosome positioning in Homo sapiens, Caenorhabditis elegans and Drosophila melanogaster genomes, remarkably outperformed its counterparts on various benchmark datasets used by the previous investigators.