Evidence map›Paper›PMID 25258494›Full record

ArticleBioinformation2014

GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences.

Amit Tuteja, Kandarp Joshi, Swati Subodh, Navkiran Kaur

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amit TutejaInstitute of Molecular Medicine, New Delhi ; Amity Institute of Biotechnology, Amity University, Noida, India ; Authors contributed equally.
Kandarp JoshiInstitute of Molecular Medicine, New Delhi ; Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda, Vadodara ; Authors contributed equally.
Swati SubodhInstitute of Molecular Medicine, New Delhi ; Council of Scientific and Industrial Research-Open Source Drug Discovery Unit, New Delhi.
Navkiran KaurAmity Institute of Biotechnology, Amity University, Noida, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledAccurate identification and characterization of infectious agent and its subtype is essential for efficient treatment of infectious diseases on a target population of patients. Comparative biology of microbial populations in vitro and in vivo can identify signatures that may be used to develop and improve diagnostic procedures. Here we report Genomic Signature Identification Tool (GSIT) a web based tool for identification and validation of genomic signatures in a group of similar DNA sequences of microorganisms. GSIT uses multiple sequence alignment to identify the unique base sites and scores them for inclusion as genomic signature for the particular strain. GSIT is a web based tool where the front-end in designed using HTML/CSS and Javascript, while back-end is run using CGI-Perl. AVAILABILITY: The server is freely available at the http://genome-sign.net/gsit.

Indexed as

Comparative GenomicsDiagnosticsGenomic signaturesInfectious DiseasesSubtype Identification

Identifiers

PMID25258494
PMCPMC4166778

What OpenQuestion holds

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Registered trials

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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.