Evidence map›Paper›PMID 26416786›Full record

ArticleBMC genomics2015

Tools and pipelines for BioNano data: molecule assembly pipeline and FASTA super scaffolding tool.

Jennifer M Shelton, Michelle C Coleman, Nic Herndon, Nanyan Lu, Ernest T Lam, Thomas Anantharaman, Palak Sheth, Susan J Brown

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

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  7. A chromosome-level genome assembly ofFrontiers in plant science · 2024
    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

8 authors.

Jennifer M SheltonKSU/K-INBRE Bioinformatics Center, Division of Biology, Kansas State University, Manhattan, KS, USA. sheltonj@ksu.edu.
Michelle C ColemanKSU/K-INBRE Bioinformatics Center, Division of Biology, Kansas State University, Manhattan, KS, USA. cmgordon@ksu.edu.
Nic HerndonKSU/K-INBRE Bioinformatics Center, Division of Biology, Kansas State University, Manhattan, KS, USA. nherndon@ksu.edu.
Nanyan LuBioNano Genomics, San Diego, CA, USA. nanyan@ksu.edu.
Ernest T LamBioNano Genomics, San Diego, CA, USA. Elam@bionanogenomics.com.
Thomas AnantharamanBioNano Genomics, San Diego, CA, USA. tanantharaman@bionanogenomics.com.
Palak ShethKSU/K-INBRE Bioinformatics Center, Division of Biology, Kansas State University, Manhattan, KS, USA. psheth@bionanogenomics.com.
Susan J BrownKSU/K-INBRE Bioinformatics Center, Division of Biology, Kansas State University, Manhattan, KS, USA. sjbrown@ksu.edu.

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SUSAN J. BROWN · 2012 to 2026
$63.0M
NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

backgroundGenome assembly remains an unsolved problem. Assembly projects face a range of hurdles that confound assembly. Thus a variety of tools and approaches are needed to improve draft genomes.

resultsWe used a custom assembly workflow to optimize consensus genome map assembly, resulting in an assembly equal to the estimated length of the Tribolium castaneum genome and with an N50 of more than 1 Mb. We used this map for super scaffolding the T. castaneum sequence assembly, more than tripling its N50 with the program Stitch.

conclusionsIn this article we present software that leverages consensus genome maps assembled from extremely long single molecule maps to increase the contiguity of sequence assemblies. We report the results of applying these tools to validate and improve a 7x Sanger draft of the T. castaneum genome.

Indexed as

GenomeSoftwareAnimalsGenomicsSequence Analysis, DNATribolium

Identifiers

PMID26416786
PMCPMC4587741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.