Evidence map›Paper›PMID 28475666›Full record

ArticleBioinformatics (Oxford, England)2017

Assembling draft genomes using contiBAIT.

Kieran O'Neill, Mark Hills, Mike Gottlieb, Matthew Borkowski, Aly Karsan, Peter M Lansdorp

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Kieran O'NeillMichael Smith Genome Sciences Centre, BC Cancer Agency.
Mark HillsTerry Fox Laboratory, BC Cancer Agency.
Mike GottliebMichael Smith Genome Sciences Centre, BC Cancer Agency.
Matthew Borkowski
Aly KarsanMichael Smith Genome Sciences Centre, BC Cancer Agency.
Peter M LansdorpMichael Smith Genome Sciences Centre, BC Cancer Agency.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryMassively parallel sequencing is now widely used, but data interpretation is only as good as the reference assembly to which it is aligned. While the number of reference assemblies has rapidly expanded, most of these remain at intermediate stages of completion, either as scaffold builds, or as chromosome builds (consisting of correctly ordered, but not necessarily correctly oriented scaffolds separated by gaps). Completion of de novo assemblies remains difficult, as regions that are repetitive or hard to sequence prevent the accumulation of larger scaffolds, and create errors such as misorientations and mislocalizations. Thus, complementary methods for determining the orientation and positioning of fragments are important for finishing assemblies. Strand-seq is a method for determining template strand inheritance in single cells, information that can be used to determine relative genomic distance and orientation between scaffolds, and find errors within them. We present contiBAIT, an R/Bioconductor package which uses Strand-seq data to repair and improve existing assemblies. AVAILABILITY AND IMPLEMENTATION: contiBAIT is available on Bioconductor. Source files available from GitHub. CONTACT: koneill@bcgsc.ca or mark.hills@stemcell.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Genome, HumanSoftwareAlgorithmsGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID28475666
PMCPMC5860061

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.