Evidence map›Paper›PMID 20823304›Full record

ArticleBioinformatics (Oxford, England)2010

Integrating genome assemblies with MAIA.

Jurgen Nijkamp, Wynand Winterbach, Marcel van den Broek, Jean-Marc Daran, Marcel Reinders, Dick de Ridder

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  10. De novo meta-assembly of ultra-deep sequencing data.Bioinformatics (Oxford, England) · 2015
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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.

Jurgen NijkampDepartment of Mediamatics, Delft University of Technology, Delft, The Netherlands. j.f.nijkamp@tudelft.nl
Wynand Winterbach
Marcel van den Broek
Jean-Marc Daran
Marcel Reinders
Dick de Ridder

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationDe novo assembly of a eukaryotic genome with next-generation sequencing data is still a challenging task. Over the past few years several assemblers have been developed, often suitable for one specific type of sequencing data. The number of known genomes is expanding rapidly, therefore it becomes possible to use multiple reference genomes for assembly projects. We introduce an assembly integrator that makes use of all available data, i.e. multiple de novo assemblies and mappings against multiple related genomes, by optimizing a weighted combination of criteria.

resultsThe developed algorithm was applied on the de novo sequencing of the Saccharomyces cerevisiae CEN.PK 113-7D strain. Using Solexa and 454 read data, two de novo and three comparative assemblies were constructed and subsequently integrated, yielding 29 contigs, covering more than 12 Mbp; a drastic improvement compared with the single assemblies. AVAILABILITY: MAIA is available as a Matlab package and can be downloaded from http://bioinformatics.tudelft.nl.

Indexed as

AlgorithmsGenome, FungalComputer GraphicsContig MappingDNA, FungalGenomicsSaccharomyces cerevisiaeSequence Analysis, DNADNA, Fungal

Identifiers

PMID20823304
PMCPMC2935414

What OpenQuestion holds

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LicenceCC BY-NC
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.