Evidence map›Paper›PMID 16869968›Full record

ArticleGenome biology2006

Analysis of cell-based RNAi screens.

Michael Boutros, Lígia P Brás, Wolfgang Huber

Abstract read
In one paragraph

Article in Genome biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.

0numbers the graph read from it
0cells of the map it votes in
180citing 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

180 citing papers in PubMed.

  1. Re-establishment of TAD boundary organization during DNA replication.bioRxiv : the preprint server for biology · 2026
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  7. EfficientAntimicrobial agents and chemotherapy · 2025
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  18. Automated high-content imaging in iPSC-derived neuronal progenitors.SLAS discovery : advancing life sciences R & D · 2023
    Article
  19. MicroRNAs affecting the susceptibility of melanoma cells to CD8Clinical and translational medicine · 2023
    Article
  20. Article

120 more citing papers are in PubMed but not listed here.

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

3 authors.

Michael BoutrosSignaling and Functional Genomics, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany. m.boutros@dkfz.de
Lígia P Brás
Wolfgang Huber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) screening is a powerful technology for functional characterization of biological pathways. Interpretation of RNAi screens requires computational and statistical analysis techniques. We describe a method that integrates all steps to generate a scored phenotype list from raw data. It is implemented in an open-source Bioconductor/R package, cellHTS (http://www.dkfz.de/signaling/cellHTS). The method is useful for the analysis and documentation of individual RNAi screens. Moreover, it is a prerequisite for the integration of multiple experiments.

Indexed as

RNA InterferenceQuality ControlReproducibility of Results

Identifiers

PMID16869968
PMCPMC1779553

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.