Evidence map›Paper›PMID 29244003›Full record

ArticleBMC genomics2017

Single molecule sequencing-guided scaffolding and correction of draft assemblies.

Shenglong Zhu, Danny Z Chen, Scott J Emrich

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Review
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

3 authors.

Shenglong ZhuDepartment of Computer Science & Engineering, University of Notre Dame, 244 Fitzpatrick Hall, Notre Dame, 46556, IN, USA. szhu3@nd.edu.
Danny Z ChenDepartment of Computer Science & Engineering, University of Notre Dame, 326E Cushing Hall, Notre Dame, 46556, IN, USA.
Scott J EmrichDepartment of Computer Science & Engineering, University of Notre Dame, 211B Cushing Hall, Notre Dame, 46556, IN, USA.

Funding

Anchoring and uniting the An. funestus assembly for improved vector analysisR21AI112734 · NIAID · UNIVERSITY OF NOTRE DAME · PI BESANSKY, NORA JESSIE · 2014 to 2015
$427k
Unified Culex assemblies for improved population-level analysisR21AI123967 · NIAID · UNIVERSITY OF NOTRE DAME · PI EMRICH, SCOTT · 2016 to 2017
$396k
NIAID NIH HHS HHSN272200900039CNIAID NIH HHS R21 AI112734NIAID NIH HHS R21 AI123967
6 · The paper itself

Abstract

backgroundAlthough single molecule sequencing is still improving, the lengths of the generated sequences are inevitably an advantage in genome assembly. Prior work that utilizes long reads to conduct genome assembly has mostly focused on correcting sequencing errors and improving contiguity of de novo assemblies.

resultsWe propose a disassembling-reassembling approach for both correcting structural errors in the draft assembly and scaffolding a target assembly based on error-corrected single molecule sequences. To achieve this goal, we formulate a maximum alternating path cover problem. We prove that this problem is NP-hard, and solve it by a 2-approximation algorithm.

conclusionsOur experimental results show that our approach can improve the structural correctness of target assemblies in the cost of some contiguity, even with smaller amounts of long reads. In addition, our reassembling process can also serve as a competitive scaffolder relative to well-established assembly benchmarks.

Indexed as

GenomicsSaccharomyces cerevisiaeSequence Analysis, DNAStaphylococcus aureusGenome improvementGenome scaffoldingSequence assemblySingle molecule sequencing

Identifiers

PMID29244003
PMCPMC5731603

What OpenQuestion holds

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Registered trials

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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.