Evidence map›Paper›PMID 31170285›Full record

ArticleNucleic acids research2019

DNAvisualization.org: a serverless web tool for DNA sequence visualization.

Benjamin D Lee, Michael A Timony, Pablo Ruiz

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Overview and Prospects of DNA Sequence Visualization.International journal of molecular sciences · 2025
    Review
  3. Review
  4. 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

3 authors.

Benjamin D LeeIn-Q-Tel Lab41, 800 El Camino Real, Suite 300, Menlo Park, CA 94025, USA.
Michael A TimonyHarvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Pablo RuizSchool of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raw DNA sequences contain an immense amount of meaningful biological information. However, these sequences are hard for humans to intuitively interpret. To solve this problem, a number of methods have been proposed to transform DNA sequences into two-dimensional visualizations. DNAvisualization.org implements several of these methods in a cost effective and performant manner via a novel, entirely serverless architecture. By taking advantage of recent developments in serverless parallel computing and selective data retrieval, the website is able to offer users the ability to visualize up to thirty 4.5 Mb DNA sequences simultaneously using one of five supported methods and to export these visualizations in a variety of publication-ready formats.

Indexed as

SoftwareBase SequenceDNAHumansInformation Storage and RetrievalInternetSequence Analysis, DNAUser-Computer InterfaceDNA

Identifiers

PMID31170285
PMCPMC6602497

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.