Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Jun S Liu"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 4, p e1011995 (2024)
Genomes contain conserved non-coding sequences that perform important biological functions, such as gene regulation. We present a phylogenetic method, PhyloAcc-C, that associates nucleotide substitution rates with changes in a continuous trait of int
Externí odkaz:
https://doaj.org/article/74194a74749a44eeb3e3791e6f473097
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 7, p e1005653 (2017)
In recent years, there has been a huge rise in the number of publicly available transcriptional profiling datasets. These massive compendia comprise billions of measurements and provide a special opportunity to predict the function of unstudied genes
Externí odkaz:
https://doaj.org/article/71bcd98defde41989dde88c9fe19246f
Quantitative and functional interrogation of parent-of-origin allelic expression biases in the brain
Autor:
Julio D Perez, Nimrod D Rubinstein, Daniel E Fernandez, Stephen W Santoro, Leigh A Needleman, Olivia Ho-Shing, John J Choi, Mariela Zirlinger, Shau-Kwaun Chen, Jun S Liu, Catherine Dulac
Publikováno v:
eLife, Vol 4 (2015)
The maternal and paternal genomes play different roles in mammalian brains as a result of genomic imprinting, an epigenetic regulation leading to differential expression of the parental alleles of some genes. Here we investigate genomic imprinting in
Externí odkaz:
https://doaj.org/article/a9b57bdbce1841869bebf9aa693b4b3c
Autor:
Ming Hu, Ke Deng, Zhaohui Qin, Jesse Dixon, Siddarth Selvaraj, Jennifer Fang, Bing Ren, Jun S Liu
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 1, p e1002893 (2013)
Knowledge of spatial chromosomal organizations is critical for the study of transcriptional regulation and other nuclear processes in the cell. Recently, chromosome conformation capture (3C) based technologies, such as Hi-C and TCC, have been develop
Externí odkaz:
https://doaj.org/article/49f3dcf30380453396e825d5a6d73f0a
Publikováno v:
PLoS ONE, Vol 7, Iss 4, p e34480 (2012)
BackgroundProtein interaction networks (PINs) specific within a particular context contain crucial information regarding many cellular biological processes. For example, PINs may include information on the type and directionality of interaction (e.g.
Externí odkaz:
https://doaj.org/article/6b97bead1fea48468746c9a73352d119
Publikováno v:
PLoS ONE, Vol 6, Iss 6, p e21474 (2011)
A significant part of our biological knowledge is centered on relationships between biological entities (bio-entities) such as proteins, genes, small molecules, pathways, gene ontology (GO) terms and diseases. Accumulated at an increasing speed, the
Externí odkaz:
https://doaj.org/article/e3524267d4684531a66b7b621c081795
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 1, p e1000642 (2010)
Studies of the relationship between DNA variation and gene expression variation, often referred to as "expression quantitative trait loci (eQTL) mapping", have been conducted in many species and resulted in many significant findings. Because of the l
Externí odkaz:
https://doaj.org/article/14d839b1325e41e1a2e1ea962ce8e48a
Autor:
Patrycja Vasilyev Missiuro, Kesheng Liu, Lihua Zou, Brian C Ross, Guoyan Zhao, Jun S Liu, Hui Ge
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 4, p e1000350 (2009)
Recent studies of cellular networks have revealed modular organizations of genes and proteins. For example, in interactome networks, a module refers to a group of interacting proteins that form molecular complexes and/or biochemical pathways and toge
Externí odkaz:
https://doaj.org/article/1fb34e960a114a19973f32650498d3e6
Autor:
Guo-Cheng Yuan, Jun S Liu
Publikováno v:
PLoS Computational Biology, Vol 4, Iss 1, p e13 (2008)
The regulation of DNA accessibility through nucleosome positioning is important for transcription control. Computational models have been developed to predict genome-wide nucleosome positions from DNA sequences, but these models consider only nucleos
Externí odkaz:
https://doaj.org/article/6243dcea7cea4d75922f060f4d150bef
Publikováno v:
PLoS Computational Biology, Vol 3, Iss 11, p e243 (2007)
Although much of the information regarding genes' expressions is encoded in the genome, deciphering such information has been very challenging. We reexamined Beer and Tavazoie's (BT) approach to predict mRNA expression patterns of 2,587 genes in Sacc
Externí odkaz:
https://doaj.org/article/4fb13a0a18e74405840da5835330a9b5