Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yongchu Liu"'
Autor:
Dan Sun, Zhimei Liu, Yongchu Liu, Miaojuan Wu, Fang Fang, Xianbo Deng, Zhisheng Liu, Liang Song, Kei Murayama, Chunhua Zhang, Yuanyuan Zhu
Publikováno v:
BMC Medical Genetics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Short-chain enoyl-CoA hydratase deficiency (ECHS1D), also known as ECHS1 deficiency, is a rare inborn metabolic disorder with clinical presentations characterized by Leigh syndrome (LS). Thirty-four different pathogenic mutations
Externí odkaz:
https://doaj.org/article/069ce8503aa948d08bfd7b599fb27f56
Autor:
Dan Sun, Yan Liu, Wei Cai, Jiehui Ma, Kun Ni, Ming Chen, Cheng Wang, Yongchu Liu, Yuanyuan Zhu, Zhisheng Liu, Feng Zhu
Publikováno v:
Frontiers in Pediatrics, Vol 9 (2021)
Background: Epileptic encephalopathies (EEs) are a pediatric entity with highly phenotypic and genetic heterogeneity. Both single nucleotide variants (SNVs)/Indels and copy number variations (CNVs) could be the causes. Whole exome sequencing (WES) is
Externí odkaz:
https://doaj.org/article/6501756d666d46429872f01aab4f464d
Autor:
Yongchu Liu, Miaojuan Wu, Dan Sun, Fang Fang, Liang Song, Yuanyuan Zhu, Zhisheng Liu, Zhimei Liu, Xianbo Deng, Kei Murayama, Chunhua Zhang
Publikováno v:
BMC Medical Genetics
BMC Medical Genetics, Vol 21, Iss 1, Pp 1-12 (2020)
BMC Medical Genetics, Vol 21, Iss 1, Pp 1-12 (2020)
Background Short-chain enoyl-CoA hydratase deficiency (ECHS1D), also known as ECHS1 deficiency, is a rare inborn metabolic disorder with clinical presentations characterized by Leigh syndrome (LS). Thirty-four different pathogenic mutations have been
Publikováno v:
Bioinformatics
Summary We present the first tool of gene prediction, PlasGUN, for plasmid metagenomic short-read data. The tool, developed based on deep learning algorithm of multiple input Convolutional Neural Network, demonstrates much better performance when tes
Publikováno v:
BMC Bioinformatics. 2013, Vol. 14 Issue Suppl 5, p1-12. 12p. 3 Charts, 2 Graphs.
Publikováno v:
Bioinformatics. 25:1843-1845
Summary: We proposed a tool named MetaTISA with an aim to improve TIS prediction of current gene-finders for metagenomes. The method employs a two-step strategy to predict translation initiation sites (TISs) by first clustering metagenomic fragments
Publikováno v:
BMEI
Metagenomic sequencing is becoming a powerful method to explore various environmental organisms without isolation and cultivation. Genomic sequences data generated by this technology is growing explosively while numerous computational methods for ana