Evidence map›Paper›PMID 22581181›Full record

ArticleBioinformatics (Oxford, England)2012

SRMA: an R package for resequencing array data analysis.

Nianxiang Zhang, Yan Xu, Martin O'Hely, Terence P Speed, Curt Scharfe, Wenyi Wang

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Nianxiang ZhangDepartment of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
Yan Xu
Martin O'Hely
Terence P Speed
Curt Scharfe
Wenyi Wang

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Preprocessing and Analysis Tools for High-Throughput TechnologiesR01GM083084 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2007 to 2018
$4.4M
Discovery of Biomarkers in Human Mitochondrial DiseasesR01EY016240 · NEI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2006 to 2011
$3.6M
NCI NIH HHS P30 CA016672NEI NIH HHS R01 EY016240NIGMS NIH HHS 5R01 GM083084-03NIGMS NIH HHS R01 GM083084
6 · The paper itself

Abstract

unlabelledSequencing by hybridization to oligonucleotides has evolved into an inexpensive, reliable and fast technology for targeted sequencing. Hundreds of human genes can now be sequenced within a day using a single hybridization to a resequencing microarray. However, several issues inherent to these arrays (e.g. cross-hybridization, variable probe/target affinity) cause sequencing errors and have prevented more widespread applications. We developed an R package for resequencing microarray data analysis that integrates a novel statistical algorithm, sequence robust multi-array analysis (SRMA), for rare variant detection with high sensitivity (false negative rate, FNR 5%) and accuracy (false positive rate, FPR 1×10⁻⁵). The SRMA package consists of five modules for quality control, data normalization, single array analysis, multi-array analysis and output analysis. The entire workflow is efficient and identifies rare DNA single nucleotide variations and structural changes such as gene deletions with high accuracy and sensitivity. AVAILABILITY: http://cran.r-project.org/, http://odin.mdacc.tmc.edu/~wwang7/SRMAIndex.html

Indexed as

AlgorithmsSoftwareComputational BiologyHumansOligonucleotide Array Sequence AnalysisSequence Analysis, DNA

Identifiers

PMID22581181
PMCPMC3389772

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.