Evidence map›Paper›PMID 23550062›Full record

ArticleDatabase : the journal of biological databases and curation2013

Biological database of images and genomes: tools for community annotations linking image and genomic information.

Andrew T Oberlin, Dominika A Jurkovic, Mitchell F Balish, Iddo Friedberg

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. MaizeDIG: Maize Database of Images and Genomes.Frontiers in plant science · 2019
    Article
  3. 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.

Andrew T OberlinDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.
Dominika A Jurkovic
Mitchell F Balish
Iddo Friedberg

Funding

Racial Disparity in gamma/delta T cellsR03AI077394 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI PAUZA, C. DAVID · 2008 to 2009
$150k
NIAID NIH HHS R15 AI077394
6 · The paper itself

Abstract

Genomic data and biomedical imaging data are undergoing exponential growth. However, our understanding of the phenotype-genotype connection linking the two types of data is lagging behind. While there are many types of software that enable the manipulation and analysis of image data and genomic data as separate entities, there is no framework established for linking the two. We present a generic set of software tools, BioDIG, that allows linking of image data to genomic data. BioDIG tools can be applied to a wide range of research problems that require linking images to genomes. BioDIG features the following: rapid construction of web-based workbenches, community-based annotation, user management and web services. By using BioDIG to create websites, researchers and curators can rapidly annotate a large number of images with genomic information. Here we present the BioDIG software tools that include an image module, a genome module and a user management module. We also introduce a BioDIG-based website, MyDIG, which is being used to annotate images of mycoplasmas.

Indexed as

Databases, GeneticImaging, Three-DimensionalGenomeGenomicsHumansInternetMycoplasma pneumoniaeSoftwareStatistics as Topic

Identifiers

PMID23550062
PMCPMC3708683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.