Evidence map›Paper›PMID 25875920›Full record

ArticlePloS one2015

A fast and scalable kymograph alignment algorithm for nanochannel-based optical DNA mappings.

Charleston Noble, Adam N Nilsson, Camilla Freitag, Jason P Beech, Jonas O Tegenfeldt, Tobias Ambjörnsson

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Advances in optical mapping for genomic research.Computational and structural biotechnology journal · 2020
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Charleston NobleDepartment of Astronomy and Theoretical Physics, Lund University, Lund, Sweden; Division of Solid State Physics, Department of Physics, Lund University, Lund, Sweden.
Adam N NilssonDepartment of Astronomy and Theoretical Physics, Lund University, Lund, Sweden.
Camilla FreitagDivision of Solid State Physics, Department of Physics, Lund University, Lund, Sweden; Department of Physics, Gothenburg University, Gothenburg, Sweden.
Jason P BeechDivision of Solid State Physics, Department of Physics, Lund University, Lund, Sweden.
Jonas O TegenfeldtDivision of Solid State Physics, Department of Physics, Lund University, Lund, Sweden.
Tobias AmbjörnssonDepartment of Astronomy and Theoretical Physics, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical mapping by direct visualization of individual DNA molecules, stretched in nanochannels with sequence-specific fluorescent labeling, represents a promising tool for disease diagnostics and genomics. An important challenge for this technique is thermal motion of the DNA as it undergoes imaging; this blurs fluorescent patterns along the DNA and results in information loss. Correcting for this effect (a process referred to as kymograph alignment) is a common preprocessing step in nanochannel-based optical mapping workflows, and we present here a highly efficient algorithm to accomplish this via pattern recognition. We compare our method with the one previous approach, and we find that our method is orders of magnitude faster while producing data of similar quality. We demonstrate proof of principle of our approach on experimental data consisting of melt mapped bacteriophage DNA.

Indexed as

AlgorithmsBacteriophagesChromosome MappingDNADNA, ViralGenomicsKymographyMotionOptical ImagingSequence Analysis, DNASoftwareTime FactorsDNADNA, Viral

Identifiers

PMID25875920
PMCPMC4395267

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.