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The Genomics and Pharmacology Facility

Publications, tools and dataset by the genomics and bioinformatics group

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The Genomics and Pharmacology Facility | discover.nci.nih.gov Reviews
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Publications, tools and dataset by the genomics and bioinformatics group
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1 Genomics
2 Biology
3 Genomic and Parmacology Facility
4 bioinformatics
5 microarray tool
6 microarray dataset
7 GoMiner
8 CellMiner
9 CIMMiner
10 MatchMiner
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skip over navigation,tools,molec maps,members,publications,cellminer,cellminercdb,cimminer,gominer,high throughput gominer,mimminer,matchminer,splicecenter,spliceminer,abminer,for more information
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The Genomics and Pharmacology Facility | discover.nci.nih.gov Reviews

https://discover.nci.nih.gov

Publications, tools and dataset by the genomics and bioinformatics group

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1

MIM Home

https://discover.nci.nih.gov/mim/index.jsp

The updated formal specification for software implementation can be found in Luna et al., BMC Bioinformatics 2011, 12:167. For a quick reference sheet of the MIM symbols click here. Current diagram editors implementing these symbols are Pathvisio. Interactive electronic molecular interaction maps (eMIMs) allow the user to navigate through the molecular interaction network and link to molecular databases, references and annotations that contain pertinent information. Chromatin assembly during replication.

2

The Genomics and Bioinformatics Group

https://discover.nci.nih.gov/index.jsp

Mission and Central activities:. The Genomic and Bioinformatics Group is run under the auspices of Dr. Yves Pommier. The site was originally developed by Dr. John Weinstein. It is currently being supervised by Mr. William Reinhold. Freely available for public use are our professional grade Miner Suite bioinformatics software package, as well as our characterization and annalysis of the NCI-60 cancer cell lines, the DNA, RNA, protein, epigenetic and pharmacological levels (accessible through CellMiner).

3

CellMiner - Analysis Tools

https://discover.nci.nih.gov/cellminer

This page provides automation of several commonly done analyses. For a complete description of the CellMiner options, go to the "Home" tab above. Step 1 - Select analysis type:. Gene transcript z scores (input HUGO name). Drug activity z scores (input NSC#). Protein mean values (input HUGO name). Genetic variant summation (input HUGO name). Gene DNA copy number (input HUGO name). Cross-correlations of transcripts, drugs, and microRNAs (input HUGO name, NSC and microRNA id). Gene transcript (HUGO name).

4

CIMminer - Home

https://discover.nci.nih.gov/cimminer

CIMminer generates color-coded Clustered Image Maps (CIMs) ("heat maps") to represent "high-dimensional" data sets such as gene expression profiles. We introduced CIMs in the mid-1990's for data on drug activity, target expression, gene expression, and proteomic profiles. Clustering of the axes brings like together with like to create patterns of color. (Weinstein, et al., Science 1997; 275:343-349). To learn more details, look at the following articles. Weinstein, et al., Stem Cells. Two matrices are us...

5

Exploratory Analysis

https://discover.nci.nih.gov/microarrayAnalysis/Exploratory.Analysis.jsp

After that disclaimer, suppose that we want to find groups of similar genes or similar samples, how do we go about it? Clustering depends on the idea that differences between gene expression profiles are like distances; however the user must make (somewhat arbitrary) choices to compute a single measure of distance from many individual differences. Different procedures emphasize different types of similarities, and give different resulting clusters. Four choices you have to make are:. When the data confor...

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The Genomics and Pharmacology Facility

Mission and Central activities:. The Genomic and Pharmacology Facility is run under the auspices of Dr. Yves Pommier. The site was originally developed by Dr. John Weinstein. It is currently being supervised by Mr. William Reinhold. Freely available for public use are our professional grade Miner Suite bioinformatics software package, as well as our characterization and annalysis of the NCI-60 cancer cell lines, the DNA, RNA, protein, epigenetic and pharmacological levels (accessible through CellMiner).

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