compbio.uthsc.edu compbio.uthsc.edu

compbio.uthsc.edu

Yan Cui's Lab at University of Tennessee Health Science Center

Database, Web Server and Software. Research Interests and Selected Publications. Systems Genetics and Network Biology. Li H, Lu L, Manly KF, Chesler EJ, Bao L, Wang J, Zhou M, Williams RW and Cui Y (2005) Inferring Gene Transcriptional Modulatory Relations: A Genetical Genomics Approach. Li H, Chen H, Bao L, Manly KF, Chesler EJ, Lu L, Wang J, Zhou M, Williams RW and Cui Y (2006) Integrative Genetic Analysis of Transcription Modules: Towards Filling the Gap between Genetic Loci and Inherited Traits.

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Yan Cui's Lab at University of Tennessee Health Science Center | compbio.uthsc.edu Reviews
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Database, Web Server and Software. Research Interests and Selected Publications. Systems Genetics and Network Biology. Li H, Lu L, Manly KF, Chesler EJ, Bao L, Wang J, Zhou M, Williams RW and Cui Y (2005) Inferring Gene Transcriptional Modulatory Relations: A Genetical Genomics Approach. Li H, Chen H, Bao L, Manly KF, Chesler EJ, Lu L, Wang J, Zhou M, Williams RW and Cui Y (2006) Integrative Genetic Analysis of Transcription Modules: Towards Filling the Gap between Genetic Loci and Inherited Traits.
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1 cui lab
2 computational systems biology
3 research
4 publication
5 people
6 human molecular genetics
7 mammalian genome
8 plos one
9 pathogens and disease
10 developmental biology
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Yan Cui's Lab at University of Tennessee Health Science Center | compbio.uthsc.edu Reviews

https://compbio.uthsc.edu

Database, Web Server and Software. Research Interests and Selected Publications. Systems Genetics and Network Biology. Li H, Lu L, Manly KF, Chesler EJ, Bao L, Wang J, Zhou M, Williams RW and Cui Y (2005) Inferring Gene Transcriptional Modulatory Relations: A Genetical Genomics Approach. Li H, Chen H, Bao L, Manly KF, Chesler EJ, Lu L, Wang J, Zhou M, Williams RW and Cui Y (2006) Integrative Genetic Analysis of Transcription Modules: Towards Filling the Gap between Genetic Loci and Inherited Traits.

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compbio.uthsc.edu compbio.uthsc.edu
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Yan Cui's Lab at University of Tennessee Health Science Center

http://compbio.uthsc.edu/Database.html

Database, Web Server and Software. Database, Web Server and Software. Bayesian Network Web Server. Linking polymorphisms in microRNA target sites with complex traits. Poly. Ite (PolymiRTS) is a database of naturally occurring DNA variations in putative microRNA (miRNA) target sites. This database characterizes PolymiRTS as a new class of sequence variants underlying gene expression traits and/or higher order mammalian traits. ( Reference. A Java program for interpreting microarray data in the context of ...

2

Publication

http://compbio.uthsc.edu/Publication.html

Database, Web server and Software. Cui, Y (2011) Bioinformatics Tools for Gene Function Prediction. In Gu, W.K. (ed), Gene Discovery for Disease Models. John Wiley and Sons, Inc. Page 93-110. Cui, Y (2007) Bridging Genotype and Phenotype: Causal Pathways from DNA to Complex Traits. In Deng, H.W. (ed), Current Topics in Human Genetics: Studies in Complex Diseases. World Scientific, Page 433-448. Bhattacharya A and Cui Y (2015) miR2GO: Comparative functional analysis for microRNAs. Clinical Transplantation...

3

QSB

http://compbio.uthsc.edu/QSB

QSB: an integrative computational tool for genetical genomics. A walk-through using sample input data. Visualize QTL network structure. Infer gene modulatory network using Bayesian network. Single Nucleotide Polymorphism Analysis. Visualize SNP network structure. Infer SNP gene modulatory network using Bayesian network. TL mapping, S. Equence polymorphism analysis (or S. NP analysis) and B. QSB is written in Java and has been tested on Windows 2000/XP, Redhat Linux 9.0 and MacOS 10.8. 31 Input data Format.

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Center for Integrative and Translational Genomics

http://www.uthsc.edu/citg

The University of Tennessee Health Science Center. Center for Integrative and Translational Genomics. Bioinformatics Resources and Expertise. Mouse Strain and Pilot Projects. Department of Genetics, Genomics and Informatics. Center for Integrative and Translational Genomics. The mission of the CITG is to catalyze and support research in human and experimental genetics and genomics at a state-wide level across all colleges. A major initiative of The Urban Child Institute. 14 - 21 September 2013).

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Welcome to the Erill Lab. By ErillLab on April 10, 2013. As Robert Robbins* put it, the DNA sequence of an organism is the result of literally millions of maintenance revisions performed by the worst possible set of kludge using. Opportunistic hackers (i.e. evolution) who delight in clever tricks like writing self modifying code. And relying upon undocumented system quirks . As a result, deciphering molecular biology is the ultimate dream of a computer scientist. What’s cookin’?

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Computational Biology Research Lab, Home Page

Istvan (Steve) Ladunga, Ph.D. Professor of Computational Biology, E145 Beadle Center. At the University of Nebraska-Lincoln. Our Laboratory conducts research in the computational aspects of:. Reconstructing transcriptional regulatory networks in algae and S. cerevisiae. Carbon dioxide concentration mechanisms in algae. Transcriptional Competency of Nucleosomes. In these works, we utilize existing methods and develop new ones in:. Transcription factor binding site predictions,. Machine learning, and.

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Huang Research Group at HKUST. The main goal of our lab is to understand and manipulate functional conformational changes of complex biological systems by developing and applying novel computational tools which bridge the gap between experiments and simulations. Examples of our interested research. Areas include protein misfolding and aggregation, functional conformational changes in Transcription, and the development of Kinetic Network Models for long timescale dynamics. Farewell to Guo and Xu! Congs on...

compbio.uthsc.edu compbio.uthsc.edu

Yan Cui's Lab at University of Tennessee Health Science Center

Database, Web Server and Software. Research Interests and Selected Publications. Systems Genetics and Network Biology. Li H, Lu L, Manly KF, Chesler EJ, Bao L, Wang J, Zhou M, Williams RW and Cui Y (2005) Inferring Gene Transcriptional Modulatory Relations: A Genetical Genomics Approach. Li H, Chen H, Bao L, Manly KF, Chesler EJ, Lu L, Wang J, Zhou M, Williams RW and Cui Y (2006) Integrative Genetic Analysis of Transcription Modules: Towards Filling the Gap between Genetic Loci and Inherited Traits.

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Graduate Study in Comparative Biochemistry

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Computational Chemistry and Biochemistry

This site is dedicated to computational chemistry and biochemstry.

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The CompBio Dude

Biology from the Computational Point of View. Tuesday, July 28, 2009. More Jython and BioJava. The exploration of how it use BioJava with Jython I've written up an example that takes a Genpept file. An does alignments (both NeedlemanWunsch and SmithWaterman) against every Coding feature in a Genebank file. CDS sequences are kept in the Annotations of Features. If you read the straight sequence from the Genebank file, you will get the DNA of the chromosome. From java.io import *. Column uses minimum score.

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The CompBio Experiment

Information Gathering Form End-Users. Information Gathering Form for Expertise Providers. Information Gathering Form for Resource Providers. Information Gathering Form for Software Providers. Technical Computing at Your Fingertips, the next Utility? This is an open invitation to members of the Life Sciences. Community to join us for a 3-month experiment, where we will apply the cloud computing service model to workloads on remote Cluster Computing resources in the areas of bio, pharma, and chemistry.

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Richard D. BerlinCenter for Cell Analysis & Modeling › University of Connecticut Health Center

Richard D. Berlin. Center for Cell Analysis and Modeling. 16th Annual Virtual Cell Short Course. June 22-24, 2015. The Richard D. Berlin Center for Cell Analysis and Modeling (CCAM),. At the University of Connecticut Health Center, is developing new approaches for in vivo measurements and manipulation of molecular events within the cell, and new computational approaches to organize such data into quantitative models. Model - develop new methods for spatial modeling of biological systems.