Evidence map›Paper›PMID 20195257›Full record

ReviewNature methods2010

Visualizing genomes: techniques and challenges.

Cydney B Nielsen, Michael Cantor, Inna Dubchak, David Gordon, Ting Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Rapid Exploratory Data Visualization for Cancer Genomics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Methods for Chromosome-Scale Haplotype Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Article
  4. Biocomputational Identification of sRNAs inIndian journal of microbiology · 2023
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. WashU Epigenome Browser update 2019.Nucleic acids research · 2019
    Article
  12. Tasks, Techniques, and Tools for Genomic Data Visualization.Computer graphics forum : journal of the European Association for Computer Graphics · 2019
    Article
  13. Genetic Variations and Precision Medicine.Perspectives in health information managemen · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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.

Cydney B NielsenBritish Columbia Cancer Agency, Genome Sciences Centre, Vancouver, Canada. cydneyn@bcgsc.ca
Michael Cantor
Inna Dubchak
David Gordon
Ting Wang

Funding

SeattleSeqR01HL094976 · NHLBI · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN, GREEN, PHILIP P · 2008 to 2009
$4.0M
THROMBIN RECEPTOR-G PROTEIN SIGNALING MECHANISMSF32HL010296 · NHLBI · TUFTS MEDICAL CENTER · PI SWIFT, STEVEN M · 2000 to 2001
$81k
Howard Hughes Medical InstituteNCI NIH HHS N01-CO-12400NHLBI NIH HHS 1RC2HL10296-01NHLBI NIH HHS R01 HL094976
6 · The paper itself

Abstract

As our ability to generate sequencing data continues to increase, data analysis is replacing data generation as the rate-limiting step in genomics studies. Here we provide a guide to genomic data visualization tools that facilitate analysis tasks by enabling researchers to explore, interpret and manipulate their data, and in some cases perform on-the-fly computations. We will discuss graphical methods designed for the analysis of de novo sequencing assemblies and read alignments, genome browsing, and comparative genomics, highlighting the strengths and limitations of these approaches and the challenges ahead.

Indexed as

GenomeImage Processing, Computer-AssistedComputer Graphics

Identifiers

PMID20195257

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.