Evidence map›Paper›PMID 17192189›Full record

ArticleBMC genomics2006

SIGMA: a system for integrative genomic microarray analysis of cancer genomes.

Raj Chari, William W Lockwood, Bradley P Coe, Anna Chu, Devon Macey, Andrew Thomson, Jonathan J Davies, Calum MacAulay, Wan L Lam

Abstract read
In one paragraph

Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Loss of the Notch effector RBPJ promotes tumorigenesis.The Journal of experimental medicine · 2015
    Article
  3. Article
  4. Roles of COP9 signalosome in cancer.Cell cycle (Georgetown, Tex.) · 2011
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Raj ChariDepartment of Cancer Genetics and Developmental Biology, British Columbia Cancer Research Centre, Vancouver, BC, Canada. rchari@bccrc.ca
William W Lockwood
Bradley P Coe
Anna Chu
Devon Macey
Andrew Thomson
Jonathan J Davies
Calum MacAulay
Wan L Lam

Funding

Whole genome array CGH of progressing oral dysplasiaR01DE015965 · NIDCR · BRITISH COLUMBIA CANCER AGENCY · PI LAM, WAN L · 2004 to 2007
$1.1M
NIDCR NIH HHS R01 DE015965NIDCR NIH HHS R01 DE15965-01
6 · The paper itself

Abstract

backgroundThe prevalence of high resolution profiling of genomes has created a need for the integrative analysis of information generated from multiple methodologies and platforms. Although the majority of data in the public domain are gene expression profiles, and expression analysis software are available, the increase of array CGH studies has enabled integration of high throughput genomic and gene expression datasets. However, tools for direct mining and analysis of array CGH data are limited. Hence, there is a great need for analytical and display software tailored to cross platform integrative analysis of cancer genomes.

resultsWe have created a user-friendly java application to facilitate sophisticated visualization and analysis such as cross-tumor and cross-platform comparisons. To demonstrate the utility of this software, we assembled array CGH data representing Affymetrix SNP chip, Stanford cDNA arrays and whole genome tiling path array platforms for cross comparison. This cancer genome database contains 267 profiles from commonly used cancer cell lines representing 14 different tissue types.

conclusionIn this study we have developed an application for the visualization and analysis of data from high resolution array CGH platforms that can be adapted for analysis of multiple types of high throughput genomic datasets. Furthermore, we invite researchers using array CGH technology to deposit both their raw and processed data, as this will be a continually expanding database of cancer genomes. This publicly available resource, the System for Integrative Genomic Microarray Analysis (SIGMA) of cancer genomes, can be accessed at http://sigma.bccrc.ca.

Indexed as

Databases, FactualOligonucleotide Array Sequence AnalysisSoftwareAdenocarcinomaAnnexin A2Cell Line, TumorDNA MethylationDNA, NeoplasmGene DosageGenes, erbB-1Genes, mycGenomeGenomicsHumansLung NeoplasmsNeoplasmsAnnexin A2DNA, NeoplasmS100 Calcium Binding Protein A10S100 Proteins

Identifiers

PMID17192189
PMCPMC1764892

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.