Evidence map›Paper›PMID 22029426›Full record

ArticleBMC bioinformatics2011

Exploratory analysis of genomic segmentations with Segtools.

Orion J Buske, Michael M Hoffman, Nadia Ponts, Karine G Le Roch, William Stafford Noble

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Segzoo: a turnkey system that summarizes genome annotations.Bioinformatics (Oxford, England) · 2026
    Article
  2. Article
  3. Robust chromatin state annotation.Genome research · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Orion J BuskeDepartment of Genome Sciences, University of Washington, PO Box 355065, Seattle, WA 98195-5065, USA.
Michael M Hoffman
Nadia Ponts
Karine G Le Roch
William Stafford Noble

Funding

EDAC: ENCODE Data Analysis CenterU01HG004695 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BIRNEY, EWAN · 2008 to 2012
$6.4M
Understanding the Role of Nucleosome Turnover in the Malaria ParasiteR01AI085077 · NIAID · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI LE ROCH, KARINE GAELLE, LONARDI, STEFANO · 2010 to 2013
$1.6M
NHGRI NIH HHS HG004695NIAID NIH HHS R01 AI085077
6 · The paper itself

Abstract

backgroundAs genome-wide experiments and annotations become more prevalent, researchers increasingly require tools to help interpret data at this scale. Many functional genomics experiments involve partitioning the genome into labeled segments, such that segments sharing the same label exhibit one or more biochemical or functional traits. For example, a collection of ChlP-seq experiments yields a compendium of peaks, each labeled with one or more associated DNA-binding proteins. Similarly, manually or automatically generated annotations of functional genomic elements, including cis-regulatory modules and protein-coding or RNA genes, can also be summarized as genomic segmentations.

resultsWe present a software toolkit called Segtools that simplifies and automates the exploration of genomic segmentations. The software operates as a series of interacting tools, each of which provides one mode of summarization. These various tools can be pipelined and summarized in a single HTML page. We describe the Segtools toolkit and demonstrate its use in interpreting a collection of human histone modification data sets and Plasmodium falciparum local chromatin structure data sets.

conclusionsSegtools provides a convenient, powerful means of interpreting a genomic segmentation.

Indexed as

Genome, HumanSoftwareGene ExpressionGenomicsHistone CodeHistonesHumansPlasmodium falciparumHistones

Identifiers

PMID22029426
PMCPMC3224787

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.