Evidence map›Paper›PMID 21172047›Full record

ArticleBMC bioinformatics2010

Detection and reconstruction of tandemly organized de novo copy number variations.

Dan He, Nicholas Furlotte, Eleazar Eskin

Abstract readValidation Study
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Common copy number variation detection from multiple sequenced samples.IEEE transactions on bio-medical engineering · 2014
    Article
  2. CNVeM: copy number variation detection using uncertainty of read mapping.Journal of computational biology : a journal of computational molecular cell biology · 2013
    Article
  3. Article
  4. 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

3 authors.

Dan HeDept, of Comp, Sci, Univ, of California Los Angeles, Los Angeles, CA 90095, USA. danhe@cs.ucla.edu
Nicholas Furlotte
Eleazar Eskin

Funding

Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Discovering the Genetic Basis of HypertensionK25HL080079 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESKIN, ELEAZAR · 2006 to 2010
$685k
NHGRI NIH HHS T32 HG002536NHGRI NIH HHS T32-HG002536NHLBI NIH HHS K25 HL080079NHLBI NIH HHS K25-HL080079NIDA NIH HHS U01-DA024417NIEHS NIH HHS N01-ES-45530
6 · The paper itself

Abstract

backgroundThe characterization of structural variations (SV) such as insertions, deletions and copy number variations is a critical step in the process of understanding the full genetic architecture of organisms. Copy number variations (CNV) have attracted much recent attention due to their effects on gene expression and disease status.

resultsIn this paper, we present a method that utilizes next-generation sequencing technologies (NGS), in order to both detect and reconstruct CNVs. We focus on a special type of CNV, namely tandemly organized de novo CNVs, which have been shown to occur with high frequency in the mouse genome.

conclusionsWe apply our method to CNV regions randomly inserted into the reference mouse genome and show that our method achieves good performance for both detection and reconstruction of tandemly organized de novo CNVs.

Indexed as

DNA Copy Number VariationsSequence Analysis, DNAAlgorithmsAnimalsHigh-Throughput Nucleotide SequencingMice

Identifiers

PMID21172047
PMCPMC3024866

What OpenQuestion holds

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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.