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Gene expression analysis of “green tide” alga Ulva prolifera (Chlorophyta) in China
Shangang Jia,Xumin Wang,Guiming Liu,Dan Luo,Jing Zhang,Yan Liu,Xiangzhi Lin,Tao Liu 한국유전학회 2011 Genes & Genomics Vol.33 No.2
Ulva prolifera (Ulvophyceae, Chlorophyta) is the causative species of the annual “green tides” in the Bohai Gulf of Northern China. In order to gain some more insight into the transcriptome of this fast-growing species of algae, we acquired 6,203 high-quality expressed-sequence-tags (ESTs),which were clustered into 4,080 unique sequences (UniSeqs). Functional classification revealed that most of the acquired transcripts were related to metabolic and biosynthetic processes,nucleotide binding, and cell part that might contribute to the organism’s rapid growth. Using 39 EST pools, 28 mitochondria genomes, and 18 chloroplast genomes from algae and land plants, we constructed three phylogenetic trees. These trees provided evidence that U. prolifera was in a sister position to Ulva linza, and shared a similar chloroplast origin with Pseudendoclonium akinetum. The findings of this study will improve our knowledge of the transcriptome and taxonomic position of U. prolifera.
Tucker Modeling based Kronecker Constrained Block Sparse Algorithm
( Tingping Zhang ),( Shangang Fan ),( Yunyi Li ),( Guan Gui ),( Yimu Ji ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.2
This paper studies synthetic aperture radar (SAR) imaging problem which the scatterers are often distributed in block sparse pattern. To exploiting the sparse geometrical feature, a Kronecker constrained SAR imaging algorithm is proposed by combining the block sparse characteristics with the multiway sparse reconstruction framework with Tucker modeling. We validate the proposed algorithm via real data and it shows that the our algorithm can achieve better accuracy and convergence than the reference methods even in the demanding environment. Meanwhile, the complexity is smaller than that of the existing methods. The simulation experiments confirmed the effectiveness of the algorithm as well.