Evidence map›Paper›PMID 18221515›Full record

ArticleBMC genomics2008

SNPExpress: integrated visualization of genome-wide genotypes, copy numbers and gene expression levels.

Mathijs A Sanders, Roel G W Verhaak, Wendy M C Geertsma-Kleinekoort, Saman Abbas, Sebastiaan Horsman, Peter J van der Spek, Bob Löwenberg, Peter J M Valk

Abstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

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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

8 authors.

Mathijs A SandersDepartment of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands. m.sanders@erasmusmc.nl
Roel G W Verhaak
Wendy M C Geertsma-Kleinekoort
Saman Abbas
Sebastiaan Horsman
Peter J van der Spek
Bob Löwenberg
Peter J M Valk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate analyses of comprehensive genome-wide SNP genotyping and gene expression data sets is challenging for many researchers. In fact, obtaining an integrated view of both large scale SNP genotyping and gene expression is currently complicated since only a limited number of appropriate software tools are available.

resultsWe present SNPExpress, a software tool to accurately analyze Affymetrix and Illumina SNP genotype calls, copy numbers, polymorphic copy number variations (CNVs) and Affymetrix gene expression in a combinatorial and efficient way. In addition, SNPExpress allows concurrent interpretation of these items with Hidden-Markov Model (HMM) inferred Loss-of-Heterozygosity (LOH)- and copy number regions.

conclusionThe combined analyses with the easily accessible software tool SNPExpress will not only facilitate the recognition of recurrent genetic lesions, but also the identification of critical pathogenic genes.

Indexed as

Gene DosageGene Expression ProfilingSoftwareChromosomes, Human, Pair 7Computer SimulationGenome, HumanGenotypeHumansLeukemia, Myeloid, AcuteLoss of HeterozygosityMarkov ChainsModels, GeneticOligonucleotide Array Sequence AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID18221515
PMCPMC2235842

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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.