Evidence map›Paper›PMID 21858125›Full record

ArticlePloS one2011

LOCAS--a low coverage assembly tool for resequencing projects.

Juliane D Klein, Stephan Ossowski, Korbinian Schneeberger, Detlef Weigel, Daniel H Huson

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

12 citing papers in PubMed.

  1. Article
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  6. CRCDA--Comprehensive resources for cancer NGS data analysis.Database : the journal of biological databases and curation · 2015
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. SEQuel: improving the accuracy of genome assemblies.Bioinformatics (Oxford, England) · 2012
    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

5 authors.

Juliane D KleinUniversity of Tübingen, Tübingen, Germany. kleinj@informatik.uni-tuebingen.de
Stephan Ossowski
Korbinian Schneeberger
Detlef Weigel
Daniel H Huson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationNext Generation Sequencing (NGS) is a frequently applied approach to detect sequence variations between highly related genomes. Recent large-scale re-sequencing studies as the Human 1000 Genomes Project utilize NGS data of low coverage to afford sequencing of hundreds of individuals. Here, SNPs and micro-indels can be detected by applying an alignment-consensus approach. However, computational methods capable of discovering other variations such as novel insertions or highly diverged sequence from low coverage NGS data are still lacking.

resultsWe present LOCAS, a new NGS assembler particularly designed for low coverage assembly of eukaryotic genomes using a mismatch sensitive overlap-layout-consensus approach. LOCAS assembles homologous regions in a homology-guided manner while it performs de novo assemblies of insertions and highly polymorphic target regions subsequently to an alignment-consensus approach. LOCAS has been evaluated in homology-guided assembly scenarios with low sequence coverage of Arabidopsis thaliana strains sequenced as part of the Arabidopsis 1001 Genomes Project. While assembling the same amount of long insertions as state-of-the-art NGS assemblers, LOCAS showed best results regarding contig size, error rate and runtime.

conclusionLOCAS produces excellent results for homology-guided assembly of eukaryotic genomes with short reads and low sequencing depth, and therefore appears to be the assembly tool of choice for the detection of novel sequence variations in this scenario.

Indexed as

Models, GeneticArabidopsisBase SequenceComputational BiologyDNA, PlantGenetic VariationGenomeGenome, PlantINDEL MutationPolymorphism, Single NucleotideReproducibility of ResultsSequence Analysis, DNADNA, Plant

Identifiers

PMID21858125
PMCPMC3156226

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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.