Evidence map›Paper›PMID 25388105›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2015

The Eukaryotic Pathogen Databases: a functional genomic resource integrating data from human and veterinary parasites.

Omar S Harb, David S Roos

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2015. 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. Review
  2. Article
  3. Microtubule organelles in Giardia.Advances in parasitology · 2020
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Cross-organism analysis using InterMine.Genesis (New York, N.Y. : 2000) · 2015
    Review
  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

2 authors.

Omar S HarbDepartment of Biology, University of Pennsylvania, 415 S. University Ave., Philadelphia, PA, 19104-6018, USA, oharb@sas.upenn.edu.
David S Roos

Funding

NIAID NIH HHS HHSN266200400037CNIAID NIH HHS HHSN272201400030CNIAID NIH HHS N01 AI040037
6 · The paper itself

Abstract

Over the past 20 years, advances in high-throughput biological techniques and the availability of computational resources including fast Internet access have resulted in an explosion of large genome-scale data sets "big data." While such data are readily available for download and personal use and analysis from a variety of repositories, often such analysis requires access to seldom-available computational skills. As a result a number of databases have emerged to provide scientists with online tools enabling the interrogation of data without the need for sophisticated computational skills beyond basic knowledge of Internet browser utility. This chapter focuses on the Eukaryotic Pathogen Databases (EuPathDB: http://eupathdb.org) Bioinformatic Resource Center (BRC) and illustrates some of the available tools and methods.

Indexed as

Databases, GeneticAmino Acid MotifsAnimalsComputational BiologyComputer SimulationGenesGenomeInternetParasitesProteinsSoftwareProteins

Identifiers

PMID25388105
PMCPMC6157018

What OpenQuestion holds

Textmetadata
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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.