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compbio.unl.edu

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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Computational Biology Research Lab, Home Page | compbio.unl.edu Reviews
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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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1 computational biology laboratory
2 department of statistics
3 about us
4 members
5 projects
6 publications
7 patents / copyrights
8 optimal rnai design
9 nucleosome mapping
10 network biology
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computational biology laboratory,department of statistics,about us,members,projects,publications,patents / copyrights,optimal rnai design,nucleosome mapping,network biology,rna seq and chip seq,statistics,graph theory,courses
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Computational Biology Research Lab, Home Page | compbio.unl.edu Reviews

https://compbio.unl.edu

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.

INTERNAL PAGES

compbio.unl.edu compbio.unl.edu
1

Computational Biology Research Lab, Home Page

http://compbio.unl.edu/index.html

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.

2

Computational Biology Syllabus

http://compbio.unl.edu/courses/compbiocourse.html

STAT/BIOC 442/842, Fall 2016. Instructor: Steve (Istvan) Ladunga, Ph.D. Professor of Computational Biology. Also affiliated with the Department of Biochemistry and. The School of Biological Sciences. 346C Hardin Hall NORTH WING, Phone: (402) 472-6074, sladunga@unl.edu. Tuesdays, 12:30-1:45, Room N177, Beadle Center. Thursdays, 2:30-4:15 PM, 214 Keim Hall (the Dean's Classroom). Wednesdays, 10 AM - 12 PM 346C Hardin Hall North Wing. 7:30 - 9:30 AM, Friday, December 16. See: Registrar's Office. Understand ...

3

Computational Biology Research Lab, Publications

http://compbio.unl.edu/publications.html

Ladunga, I. (2010) (Editor) Computational Biology of Transcription Factor Binding. Methods in Molecular Biology. Springer, Berlin.ISBN: 978-1-60761-853-9. Belch Y, Yang J, Liu Y, Malkaram SA, Liu R, Riethoven JJ, Ladunga I. (2010) Weakly positioned nucleosomes enhance the transcriptional competency of chromatin. PloS One 5(9):e12984. Full text. Ladunga, I. (2010) An overview of the computational analyses and discovery of transcription factor binding sites. Van Dijk K, Ding Y, Malkaram S, Riethoven JJ, Li...

4

Computational Biology Research Lab, Projects

http://compbio.unl.edu/projects.html

Reconstruction of Transcriptional Regulatory Networks in Saccharomyces cerevisiae. And in Chlamydomonas reinhardtii. Carbon-concentrating mechanisms in Chlamydomonas reinhardtii. Computational Mapping of Nucleosomes to Genomes. Optimal RNA Interference Design. Transcriptional Regulation of Lipid Metabolism (starting). Page under construction - We are currently in the process of designing our web site. Designed by Peter Laczko.

5

Computational Biology Research Lab, Projects

http://compbio.unl.edu/patents.html

Istvan (Steve) Ladunga, PhD. Ladunga, I., Smith, R.F and Wiese B.A.: FASTA-SWAP and FASTA-PAT: pattern database searches using combinations. Methods and systems for identification of protein classes. Patent Number: US5987390, 1999, Industry, United States of America. A browsable database for biological use. Patent Number: WO2004053769 (A3) , 2004, Industry, United States of America. A browsable database for biological use. Patent Number: US2005149269, 2005, Industry, United States of America. Patent Numb...

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OTHER SITES

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Computational Bioscience at the School of Medicine, UC Colorado Denver

Welcome to the Computational Bioscience Program at the University of Colorado Anschutz Medical Campus! The Computational Bioscience Program brings a pioneering new approach to computation that advances human health and the molecular understanding of life. Founded and directed by Prof. Lawrence Hunter, the Program is globally recognized for its research and teaching of computational biology and bioinformatics at the University of Colorado’s Anschutz Medical Campus. The Program is designed to...Students wi...

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Doctoral Training in Computational Genomics | The University of Chicago

Skip to main navigation. Skip to main content. The University of Chicago. Doctoral Training in Computational Genomics. Doctoral Training in Computational Genomics. A look at some of the computational resources available to students and Faculty Computational Resources. A list of the courses that make up the Computational Biology training program Curriculum. Genomics, Genetics, and Systems Biology Committee PhD Program. Human Genetics Departmental PhD Program. Statistics Departmental PhD Program.

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Computational Biology at UC Merced

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Computational Biology and Bioinformatics » UF Health Cancer Center » University of Florida

Training on UF campus. Bioinformatics and computational biology courses @ UF. Text-only version of this website. UF Health at Gainesville. UF Health Shands Hospital. UF Health Shands Cancer Hospital. Shands Emergency & Trauma. UF Health Shands Children's Hospital. UF Health Shands Rehab Hospital. UF Health Shands Psychiatric Hospital. Archer Family Health Care. Student Health Care Center. UF Health at Jacksonville. UF Health Proton Therapy Institute. College of Public Health and Health Professions.

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Erill Lab

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’?

compbio.unl.edu compbio.unl.edu

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 Main/Home Page

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.