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| CHD: Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach |
| !PRNAinter: Prediction of protein-RNA interactions using sequence and structure descriptors |
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| •Last updated: Oct 27, 2011 |
| Introduction# |
| Welcome to our website! This is the supplementary materials webpage for our paper "Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach". The source code and data used in this paper can be available here. Pay attention to the users: You can use and redistribute the data and code if you accept GNU General Public License (GPL). |
| •Last updated: Oct 26, 2016 |
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| Any questions, please contact me by zpliu AT sibs.ac.cn. |
| !Introduction |
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| Background: The incidence of congenital heart disease (CHD) is continuously increasing among infants born alive nowadays, making it one of the leading causes of infant morbidity worldwide. Various studies suggest that both genetic and environmental factors lead to CHD, and therefore identifying its candidate genes and disease-markers has been one of the central topics in CHD research. By using the high-throughput genomic data of CHD which are available recently, network-based methods provide powerful alternatives of systematic analysis of complex diseases and identification of dysfunctional modules and candidate disease genes. |
| Welcome to our website! This is an webpage for our paper "Prediction of protein-RNA interactions using sequence and structure descriptors". In the paper, we proposed a bioinformatics method for predicting protein-RNA interactions based on both sequence and structure descriptors of protein and RNA. The source code and data used in this paper can be available here. Pay attention to the users: You can use and redistribute the data and code if you accept GNU General Public License (GPL). |
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| Results: In this paper, by modeling the information flow from source disease genes to targets of differentially expressed genes via a context-specific protein-protein interaction network, we extracted dysfunctional modules which were then validated by various types of measurements and independent datasets. Network topology analysis of these modules revealed major and auxiliary pathways and cellular processes in CHD, demonstrating the biological usefulness of the identified modules. We also prioritized a list of candidate CHD genes from these modules using a guilt-by-association approach, which are well supported by various kinds of literature and experimental evidence. |
| Any question, please contact me via zpliu AT sdu.edu.cn. |
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| Reference# |
| •Danning He, Zhi-Ping Liu, Luonan Chen: Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach. BMC Genomics 12:592, 2011. |
| !Reference |
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| •Zhi-Ping Liu, Hongyu Miao: Prediction of protein-RNA interactions using sequence and structure descriptors. Neurocomputing, Vol.206:28-34, 2016. |
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| !!!Supplementary Webpage: |
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| * [PRNAinter.rar|PRNAinter/PRNAinter.rar] |
