Morphological and molecular data confirm a new species in genus Malcus from Xizang,China.Malcus zhengi sp.nov.is described and illustrated.Photos and illustrations of the adult,critical morphological characteristics a...Morphological and molecular data confirm a new species in genus Malcus from Xizang,China.Malcus zhengi sp.nov.is described and illustrated.Photos and illustrations of the adult,critical morphological characteristics and pygophore are provided.展开更多
The detection and parameterization of molecular clumps are the first step in studying them.We propose a method based on the Local Density Clustering algorithm while physical parameters of those clumps are measured usi...The detection and parameterization of molecular clumps are the first step in studying them.We propose a method based on the Local Density Clustering algorithm while physical parameters of those clumps are measured using the Multiple Gaussian Model algorithm.One advantage of applying the Local Density Clustering to the clump detection and segmentation,is the high accuracy under different signal-to-noise levels.The Multiple Gaussian Model is able to deal with overlapping clumps whose parameters can reliably be derived.Using simulation and synthetic data,we have verified that the proposed algorithm could accurately characterize the morphology and flux of molecular clumps.The total flux recovery rate in 13CO(J=1-0)line of M16 is measured as 90.2%.The detection rate and the completeness limit are 81.7%and 20 K km s-1 in 13CO(J=1-0)line of M16,respectively.展开更多
The completion of genome sequences and subsequent high-throughput mapping of molecular networks have allowed us to study biology from the network perspective. Experimental, statistical and mathematical modeling approa...The completion of genome sequences and subsequent high-throughput mapping of molecular networks have allowed us to study biology from the network perspective. Experimental, statistical and mathematical modeling approaches have been employed to study the structure, function and dynamics of molecular networks, and begin to reveal important links of various network properties to the functions of the biological systems. In agreement with these functional links, evolutionary selection of a network is apparently based on the function, rather than directly on the structure of the network. Dynamic modularity is one of the prominent features of molecular networks. Taking advantage of such a feature may simplify network-based biological studies through construction of process-specific modular networks and provide functional and mechanistic insights linking genotypic variations to complex traits or diseases, which is likely to be a key approach in the next wave of understanding complex human diseases. With the development of ready-to-use network analysis and modeling tools the networks approaches will be infused into everyday biological research in the near future.展开更多
基金This study received financial support from the National Natural Science Foundation of China(31820103013,31430079)the Project of Ministry of Science and Technology of the People’s Republic of China(2015FY210300).
文摘Morphological and molecular data confirm a new species in genus Malcus from Xizang,China.Malcus zhengi sp.nov.is described and illustrated.Photos and illustrations of the adult,critical morphological characteristics and pygophore are provided.
基金Supported by the National Natural Science Foundation of China。
文摘The detection and parameterization of molecular clumps are the first step in studying them.We propose a method based on the Local Density Clustering algorithm while physical parameters of those clumps are measured using the Multiple Gaussian Model algorithm.One advantage of applying the Local Density Clustering to the clump detection and segmentation,is the high accuracy under different signal-to-noise levels.The Multiple Gaussian Model is able to deal with overlapping clumps whose parameters can reliably be derived.Using simulation and synthetic data,we have verified that the proposed algorithm could accurately characterize the morphology and flux of molecular clumps.The total flux recovery rate in 13CO(J=1-0)line of M16 is measured as 90.2%.The detection rate and the completeness limit are 81.7%and 20 K km s-1 in 13CO(J=1-0)line of M16,respectively.
文摘The completion of genome sequences and subsequent high-throughput mapping of molecular networks have allowed us to study biology from the network perspective. Experimental, statistical and mathematical modeling approaches have been employed to study the structure, function and dynamics of molecular networks, and begin to reveal important links of various network properties to the functions of the biological systems. In agreement with these functional links, evolutionary selection of a network is apparently based on the function, rather than directly on the structure of the network. Dynamic modularity is one of the prominent features of molecular networks. Taking advantage of such a feature may simplify network-based biological studies through construction of process-specific modular networks and provide functional and mechanistic insights linking genotypic variations to complex traits or diseases, which is likely to be a key approach in the next wave of understanding complex human diseases. With the development of ready-to-use network analysis and modeling tools the networks approaches will be infused into everyday biological research in the near future.
