Evidence map›Paper›PMID 26380270›Full record

ArticleBioMed research international2015

MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies.

Pankaj Kumar, Anna Halama, Shahina Hayat, Anja M Billing, Manish Gupta, Noha A Yousri, Gregory M Smith, Karsten Suhre

Abstract read
In one paragraph

Article in BioMed research international, 2015. 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. Article
  3. Review
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

8 authors.

Pankaj KumarWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Anna HalamaWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Shahina HayatWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Anja M BillingWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Manish GuptaWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Noha A YousriWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Gregory M SmithWeill Cornell Medical College in Qatar, Education City, Doha, Qatar.
Karsten SuhreWeill Cornell Medical College in Qatar, Education City, Doha, Qatar ; Institute of Bioinformatics and System Biology, Helmholtz Zentrum Munchen, Germany Research Center of Environmental Health, 85764 Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of RNA-Seq studies has grown in recent years. The design of RNA-Seq studies varies from very simple (e.g., two-condition case-control) to very complicated (e.g., time series involving multiple samples at each time point with separate drug treatments). Most of these publically available RNA-Seq studies are deposited in NCBI databases, but their metadata are scattered throughout four different databases: Sequence Read Archive (SRA), Biosample, Bioprojects, and Gene Expression Omnibus (GEO). Although the NCBI web interface is able to provide all of the metadata information, it often requires significant effort to retrieve study- or project-level information by traversing through multiple hyperlinks and going to another page. Moreover, project- and study-level metadata lack manual or automatic curation by categories, such as disease type, time series, case-control, or replicate type, which are vital to comprehending any RNA-Seq study. Here we describe "MetaRNA-Seq," a new tool for interactively browsing, searching, and annotating RNA-Seq metadata with the capability of semiautomatic curation at the study level.

Indexed as

SoftwareComputational BiologyDatabases, GeneticHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationRNASequence Analysis, RNAUser-Computer InterfaceRNA

Identifiers

PMID26380270
PMCPMC4561952

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.