Evidence map›Paper›PMID 23237832›Full record

ArticleNature protocols2013

Multiscale analysis of genome-wide replication timing profiles using a wavelet-based signal-processing algorithm.

Benjamin Audit, Antoine Baker, Chun-Long Chen, Aurélien Rappailles, Guillaume Guilbaud, Hanna Julienne, Arach Goldar, Yves d'Aubenton-Carafa, Olivier Hyrien, Claude Thermes and 1 more

Abstract read
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In one paragraph

Article in Nature protocols, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  18. Replication landscape of the human genome.Nature communications · 2016
    Article
  19. 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

11 authors.

Benjamin AuditUniversité de Lyon, Lyon, France. benjamin.audit@ens-lyon.fr
Antoine Baker
Chun-Long Chen
Aurélien Rappailles
Guillaume Guilbaud
Hanna Julienne
Arach Goldar
Yves d'Aubenton-Carafa
Olivier Hyrien
Claude Thermes
Alain Arneodo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this protocol, we describe the use of the LastWave open-source signal-processing command language (http://perso.ens-lyon.fr/benjamin.audit/LastWave/) for analyzing cellular DNA replication timing profiles. LastWave makes use of a multiscale, wavelet-based signal-processing algorithm that is based on a rigorous theoretical analysis linking timing profiles to fundamental features of the cell's DNA replication program, such as the average replication fork polarity and the difference between replication origin density and termination site density. We describe the flow of signal-processing operations to obtain interactive visual analyses of DNA replication timing profiles. We focus on procedures for exploring the space-scale map of apparent replication speeds to detect peaks in the replication timing profiles that represent preferential replication initiation zones, and for delimiting U-shaped domains in the replication timing profile. In comparison with the generally adopted approach that involves genome segmentation into regions of constant timing separated by timing transition regions, the present protocol enables the recognition of more complex patterns of the spatio-temporal replication program and has a broader range of applications. Completing the full procedure should not take more than 1 h, although learning the basics of the program can take a few hours and achieving full proficiency in the use of the software may take days.

Indexed as

AlgorithmsDNA Replication TimingGenome, HumanSoftwareWavelet AnalysisHeLa CellsHumans

Identifiers

PMID23237832

What OpenQuestion holds

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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.