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Full-Text Articles in Genomics
Genome-Wide Sequencing Of Small Rnas Reveals A Tissue-Specific Loss Of Conserved Microrna Families In Echinococcus Granulosus, Yun Bai, Zhuangzhi Zhang, Lei Jin, Hui Kang, Yongquiang Zhu, Lu Zhang, Xia Li, Fengshou Ma, Li Zhao, Et Al.
Genome-Wide Sequencing Of Small Rnas Reveals A Tissue-Specific Loss Of Conserved Microrna Families In Echinococcus Granulosus, Yun Bai, Zhuangzhi Zhang, Lei Jin, Hui Kang, Yongquiang Zhu, Lu Zhang, Xia Li, Fengshou Ma, Li Zhao, Et Al.
PCOM Scholarly Papers
Background: MicroRNAs (miRNAs) are important post-transcriptional regulators which control growth and development in eukaryotes. The cestode Echinococcus granulosus has a complex life-cycle involving different development stages but the mechanisms underpinning this development, including the involvement of miRNAs, remain unknown. Results: Using Illumina next generation sequencing technology, we sequenced at the genome-wide level three small RNA populations from the adult, protoscolex and cyst membrane of E. granulosus. A total of 94 pre-miRNA candidates (coding 91 mature miRNAs and 39 miRNA stars) were in silico predicted. Through comparison of expression profiles, we found 42 mature miRNAs and 23 miRNA stars expressed with …
Egonet: Identification Of Human Disease Ego-Network Modules, Rendong Yang, Yun Bai, Zhaohui Qin, Tianwei Yu
Egonet: Identification Of Human Disease Ego-Network Modules, Rendong Yang, Yun Bai, Zhaohui Qin, Tianwei Yu
PCOM Scholarly Papers
Background: Mining novel biomarkers from gene expression profiles for accurate disease classification is challenging due to small sample size and high noise in gene expression measurements. Several studies have proposed integrated analyses of microarray data and protein-protein interaction (PPI) networks to find diagnostic subnetwork markers. However, the neighborhood relationship among network member genes has not been fully considered by those methods, leaving many potential gene markers unidentified. The main idea of this study is to take full advantage of the biological observation that genes associated with the same or similar diseases commonly reside in the same neighborhood of molecular networks.Results: …