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Literature DB >> 15701683

The Graphical Query Language: a tool for analysis of gene expression time-courses.

Ivan G Costa¹, Alexander Schönhuth, Alexander Schliep.

Abstract

UNLABELLED: The Graphical Query Language (GQL) is a set of tools for the analysis of gene expression time-courses. They allow a user to pre-process the data, to query it for interesting patterns, to perform model-based clustering or mixture estimation, to include subsequent refinements of clusters and, finally, to use other biological resources to evaluate the results. Analyses are carried out in a graphical and interactive environment, allowing expert intervention in all stages of the data analysis. AVAILABILITY: The GQL package is freely available under the GNU general public license (GPL) at http://www.ghmm.org/gql

Mesh：

Year: 2005 PMID： 15701683 DOI： 10.1093/bioinformatics/bti311

Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937

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Cited

12 in total

1. Comparative transcriptional profiling of the axolotl limb identifies a tripartite regeneration-specific gene program.

Authors: Dunja Knapp; Herbert Schulz; Cynthia Alexander Rascon; Michael Volkmer; Juliane Scholz; Eugen Nacu; Mu Le; Sergey Novozhilov; Akira Tazaki; Stephanie Protze; Tina Jacob; Norbert Hubner; Bianca Habermann; Elly M Tanaka
Journal: PLoS One Date: 2013-05-01 Impact factor: 3.240

The Graphical Query Language: a tool for analysis of gene expression time-courses.

1. Comparative transcriptional profiling of the axolotl limb identifies a tripartite regeneration-specific gene program.

2. pGQL: A probabilistic graphical query language for gene expression time courses.

3. A platform for processing expression of short time series (PESTS).

4. Detection and interpretation of metabolite-transcript coresponses using combined profiling data.

5. STEM: a tool for the analysis of short time series gene expression data.

6. BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data.

7. PyMix--the python mixture package--a tool for clustering of heterogeneous biological data.

8. Regulatory Snapshots: integrative mining of regulatory modules from expression time series and regulatory networks.

9. Extracting binary signals from microarray time-course data.

10. Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana.