Evidence map›Paper›PMID 32618995›Full record

ArticleBioinformatics (Oxford, England)2020

Epiviz File Server: Query, transform and interactively explore data from indexed genomic files.

Jayaram Kancherla, Yifan Yang, Hyeyun Chae, Hector Corrada Bravo

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. FAIR privacy-preserving operation of large genomic variant calling format (VCF) data without download or installation.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  5. Article
  6. 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

4 authors.

Jayaram KancherlaCenter for Bioinformatics and Computational Biology.
Yifan YangDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA.
Hyeyun ChaeBiology and Computer Science, Swarthmore College, Swarthmore, PA 19081, USA.
Hector Corrada BravoCenter for Bioinformatics and Computational Biology.

Funding

Illuminating Neurodevelopment through Integrated Analysis and Vizualization of Multi-Omic DataR24MH114815 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HERTZANO, RONNA, WHITE, OWEN R · 2018 to 2020
$2.3M
Integrative Visual and Computational Exploratory Analysis of Genomics DataR01GM114267 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI CORRADA BRAVO, HECTOR · 2015 to 2018
$1.8M
NIGMS NIH HHS R01 GM114267NIMH NIH HHS R24 MH114815
6 · The paper itself

Abstract

motivationGenomic data repositories like The Cancer Genome Atlas, Encyclopedia of DNA Elements, Bioconductor's AnnotationHub and ExperimentHub etc., provide public access to large amounts of genomic data as flat files. Researchers often download a subset of data files from these repositories to perform exploratory data analysis. We developed Epiviz File Server, a Python library that implements an in situ data query system for local or remotely hosted indexed genomic files, not only for visualization but also data transformation. The File Server library decouples data retrieval and transformation from specific visualization and analysis tools and provides an abstract interface to define computations independent of the location, format or structure of the file. We demonstrate the File Server in two use cases: (i) integration with Galaxy workflows and (ii) using Epiviz to create a custom genome browser from the Epigenome Roadmap dataset. AVAILABILITY AND IMPLEMENTATION: Epiviz File Server is open source and is available on GitHub at http://github.com/epiviz/epivizFileServer. The documentation for the File Server library is available at http://epivizfileserver.rtfd.io.

Indexed as

GenomeGenomicsComputersInformation Storage and RetrievalSoftware

Identifiers

PMID32618995
PMCPMC7695125

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.