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Crop domestications are long-term selection experiments that have greatly advanced human civilization. The domestication of cultivated rice (Oryza sativa L.) ranks as one of the most important developments in history. However, its origins and domestication processes are controversial and have long been debated. Here we generate genome sequences from 446(More)
Bamboo represents the only major lineage of grasses that is native to forests and is one of the most important non-timber forest products in the world. However, no species in the Bambusoideae subfamily has been sequenced. Here, we report a high-quality draft genome sequence of moso bamboo (P. heterocycla var. pubescens). The 2.05-Gb assembly covers 95% of(More)
Foxtail millet (Setaria italica) is an important grain crop that is grown in arid regions. Here we sequenced 916 diverse foxtail millet varieties, identified 2.58 million SNPs and used 0.8 million common SNPs to construct a haplotype map of the foxtail millet genome. We classified the foxtail millet varieties into two divergent groups that are strongly(More)
The grass carp is an important farmed fish, accounting for ∼16% of global freshwater aquaculture, and has a vegetarian diet. Here we report a 0.9-Gb draft genome of a gynogenetic female adult and a 1.07-Gb genome of a wild male adult. Genome annotation identified 27,263 protein-coding gene models in the female genome. A total of 114 scaffolds consisting of(More)
The revolution of genome sequencing is continuing after the successful second-generation sequencing (SGS) technology. The third-generation sequencing (TGS) technology, led by Pacific Biosciences (PacBio), is progressing rapidly, moving from a technology once only capable of providing data for small genome analysis, or for performing targeted screening, to(More)
This paper proposes a similarity matrix-based hybrid algorithm for the contact map overlap (CMO) problem in protein structure alignment. In this algorithm, Genetic Algorithm (GA) is used as a framework, in which the initial solutions are constructed with similarity matrix heuristic, and Extremal Optimization (EO) is embedded as a mutated operator. In this(More)
This paper presents a novel search strategy for protein folding by combining genetic algorithm (GA) with extremal optimisation (EO). In the proposed algorithm, a constrained structure is proposed to reduce the complexity of algorithm. EO quickly approaches near-optimal solutions and GA generates an improved generation of global approximations. We(More)
Yaping Wang, Ying Lu, Yong Zhang, Zemin Ning, Yan Li, Qiang Zhao, Hengyun Lu, Rong Huang, Xiaoqin Xia, Qi Feng, Xufang Liang, Kunyan Liu, Lei Zhang, Tingting Lu, Tao Huang, Danlin Fan, Qijun Weng, Chuanrang Zhu, Yiqi Lu, Wenjun Li, Ziruo Wen, Congcong Zhou, Qilin Tian, Xiaojun Kang, Mijuan Shi, Wanting Zhang, Songhun Jang, Fukuan Du, Shan He, Lanjie Liao,(More)
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