Evidence map›Paper›PMID 26047146›Full record

ArticleInternational journal of environmental research and public health2015

SaDA: From Sampling to Data Analysis-An Extensible Open Source Infrastructure for Rapid, Robust and Automated Management and Analysis of Modern Ecological High-Throughput Microarray Data.

Kumar Saurabh Singh, Dominique Thual, Roberto Spurio, Nicola Cannata

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
0.9field-weighted citation impact, top 26% of its field
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, 7 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Kumar Saurabh SinghSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III da Varano Camerino 62032, Italy. kumar.saurabhsingh@unicam.it.
Dominique ThualNext Generation Bioinformatics s.r.l Camerino 62032, Italy. dom_thual@yahoo.fr.
Roberto SpurioSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III da Varano Camerino 62032, Italy. roberto.spurio@unicam.it.
Nicola CannataSchool of Science and Technology, University of Camerino, Via Madonna delle Carceri Camerino 62032, Italy. nicola.cannata@gmail.com.
Università di Camerino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most crucial characteristics of day-to-day laboratory information management is the collection, storage and retrieval of information about research subjects and environmental or biomedical samples. An efficient link between sample data and experimental results is absolutely important for the successful outcome of a collaborative project. Currently available software solutions are largely limited to large scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but most of the times this requires a sufficient investment of money, time and technical efforts. There is a clear need for a light weighted open source system which can easily be managed on local servers and handled by individual researchers. Here we present a software named SaDA for storing, retrieving and analyzing data originated from microorganism monitoring experiments. SaDA is fully integrated in the management of environmental samples, oligonucleotide sequences, microarray data and the subsequent downstream analysis procedures. It is simple and generic software, and can be extended and customized for various environmental and biomedical studies.

Indexed as

Environmental MicrobiologyMicroarray AnalysisSoftwareEcologyEnvironmental MonitoringInformation Managementdata managementecological assessmentenvironmental studiesLIMSmicroarraysopen source systemsoftware

Identifiers

PMID26047146
PMCPMC4483705
OpenAlexW1576077055

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.