Evidence map›Paper›PMID 22025481›Full record

ArticleBioinformatics (Oxford, England)2012

Graph accordance of next-generation sequence assemblies.

Guohui Yao, Liang Ye, Hongyu Gao, Patrick Minx, Wesley C Warren, George M Weinstock

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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  15. Frontiers in plant science · 2017
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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

6 authors.

Guohui YaoThe Genome Institute, Washington University School of Medicine, 4444 Forest Park Avenue, St Louis, MO 63108, USA.
Liang Ye
Hongyu Gao
Patrick Minx
Wesley C Warren
George M Weinstock

Funding

Sequencing the Human MicrobiomeU54HG004968 · NHGRI · WASHINGTON UNIVERSITY · PI WILSON, RICHARD K. · 2009 to 2012
$16.7M
NHGRI NIH HHS HG004968NHGRI NIH HHS U54 HG004968
6 · The paper itself

Abstract

motivationNo individual assembly algorithm addresses all the known limitations of assembling short-length sequences. Overall reduced sequence contig length is the major problem that challenges the usage of these assemblies. We describe an algorithm to take advantages of different assembly algorithms or sequencing platforms to improve the quality of next-generation sequence (NGS) assemblies.

resultsThe algorithm is implemented as a graph accordance assembly (GAA) program. The algorithm constructs an accordance graph to capture the mapping information between the target and query assemblies. Based on the accordance graph, the contigs or scaffolds of the target assembly can be extended, merged or bridged together. Extra constraints, including gap sizes, mate pairs, scaffold order and orientation, are explored to enforce those accordance operations in the correct context. We applied GAA to various chicken NGS assemblies and the results demonstrate improved contiguity statistics and higher genome and gene coverage. AVAILABILITY: GAA is implemented in OO perl and is available here: http://sourceforge.net/projects/gaa-wugi/. CONTACT: lye@genome.wustl.edu

Indexed as

AlgorithmsAnimalsChickensContig MappingGenomeHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID22025481
PMCPMC3244760

What OpenQuestion holds

Textmetadata
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.