Evidence map›Paper›PMID 26382194›Full record

ArticleBioinformatics (Oxford, England)2016

ScaffoldScaffolder: solving contig orientation via bidirected to directed graph reduction.

Paul M Bodily, M Stanley Fujimoto, Quinn Snell, Dan Ventura, Mark J Clement

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Paul M BodilyComputational Sciences Laboratory, Department of Computer Science, Brigham Young University, Provo, UT 84602-6576, USA.
M Stanley FujimotoComputational Sciences Laboratory, Department of Computer Science, Brigham Young University, Provo, UT 84602-6576, USA.
Quinn SnellComputational Sciences Laboratory, Department of Computer Science, Brigham Young University, Provo, UT 84602-6576, USA.
Dan VenturaComputational Sciences Laboratory, Department of Computer Science, Brigham Young University, Provo, UT 84602-6576, USA.
Mark J ClementComputational Sciences Laboratory, Department of Computer Science, Brigham Young University, Provo, UT 84602-6576, USA.

Funding

Statistical Tools and Methods for Next-Generation Sequencing in EpigeneticsR01HG005692 · NHGRI · BRIGHAM YOUNG UNIVERSITY · PI JOHNSON, WILLIAM EVAN · 2010 to 2014
$1.7M
NHGRI NIH HHS R01 HG005692
6 · The paper itself

Abstract

motivationThe contig orientation problem, which we formally define as the MAX-DIR problem, has at times been addressed cursorily and at times using various heuristics. In setting forth a linear-time reduction from the MAX-CUT problem to the MAX-DIR problem, we prove the latter is NP-complete. We compare the relative performance of a novel greedy approach with several other heuristic solutions.

resultsOur results suggest that our greedy heuristic algorithm not only works well but also outperforms the other algorithms due to the nature of scaffold graphs. Our results also demonstrate a novel method for identifying inverted repeats and inversion variants, both of which contradict the basic single-orientation assumption. Such inversions have previously been noted as being difficult to detect and are directly involved in the genetic mechanisms of several diseases. AVAILABILITY AND IMPLEMENTATION: http://bioresearch.byu.edu/scaffoldscaffolder. CONTACT: paulmbodily@gmail.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsContig Mapping

Identifiers

PMID26382194
PMCPMC5006237

What OpenQuestion holds

Textmetadata
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.