Evidence map›Paper›PMID 19381971›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2009

Comparative genomic hybridization: microarray design and data interpretation.

Richard Redon, Nigel P Carter

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Potential Clinical Application of Genomics in Multiple Myeloma.International journal of molecular sciences · 2018
    Review
  5. Efficient genome-wide genotyping strategies and data integration in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Review
  6. Article
  7. Article
  8. Article
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

2 authors.

Richard RedonWellcome Trust, Sanger Institute, Cambridge, UK.
Nigel P Carter

Funding

Wellcome Trust 077008
6 · The paper itself

Abstract

Microarray-based Comparative Genomic Hybridization (array-CGH) has been applied for a decade to screen for submicroscopic DNA gains and losses in tumor and constitutional DNA samples. This method has become increasingly flexible with the integration of new biological resources generated by genome sequencing projects. In this chapter, we describe alternative strategies for whole genome screening and high resolution breakpoint mapping of copy number changes by array-CGH, as well as tools available for accurate analysis of array-CGH experiments. Although most methods listed here have been designed for microarrays comprising large-insert clones, they can be adapted easily to other types of microarray platforms, such as those constructed from printed or synthesized oligonucleotides.

Indexed as

Comparative Genomic HybridizationData Interpretation, StatisticalGene DosageHumansOligonucleotide Array Sequence Analysis

Identifiers

PMID19381971
PMCPMC2871310

What OpenQuestion holds

Textmetadata
LicenceTDM
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.