Evidence map›Paper›PMID 27307138›Full record

ReviewDatabase : the journal of biological databases and curation2016

A comprehensive view of the web-resources related to sericulture.

Deepika Singh, Hasnahana Chetia, Debajyoti Kabiraj, Swagata Sharma, Anil Kumar, Pragya Sharma, Manab Deka, Utpal Bora

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Deepika SinghBioengineering Research Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India.
Hasnahana ChetiaBioengineering Research Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India.
Debajyoti KabirajBioengineering Research Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India.
Swagata SharmaBioengineering Research Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India.
Anil KumarCentre for Biological Sciences (Bioinformatics), Central University of South Bihar (CUSB), Patna 800014, India.
Pragya SharmaDepartment of Bioengineering & Technology, Gauhati University Institute of Science & Technology, Gauhati University, Guwahati, Assam 781014, India.
Manab DekaDepartment of Bioengineering & Technology, Gauhati University Institute of Science & Technology, Gauhati University, Guwahati, Assam 781014, India.
Utpal BoraBioengineering Research Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India Mugagen Laboratories Pvt. Ltd, Technology Incubation Centre, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India ubora@iitg.ernet.in ubora@rediffmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in the field of sequencing and analysis has led to a tremendous spike in data and the development of data science tools. One of the outcomes of this scientific progress is development of numerous databases which are gaining popularity in all disciplines of biology including sericulture. As economically important organism, silkworms are studied extensively for their numerous applications in the field of textiles, biomaterials, biomimetics, etc. Similarly, host plants, pests, pathogens, etc. are also being probed to understand the seri-resources more efficiently. These studies have led to the generation of numerous seri-related databases which are extremely helpful for the scientific community. In this article, we have reviewed all the available online resources on silkworm and its related organisms, including databases as well as informative websites. We have studied their basic features and impact on research through citation count analysis, finally discussing the role of emerging sequencing and analysis technologies in the field of seri-data science. As an outcome of this review, a web portal named SeriPort, has been created which will act as an index for the various sericulture-related databases and web resources available in cyberspace.Database URL: http://www.seriport.in/.

Indexed as

Databases, GeneticInternetAnimalsBombyx

Identifiers

PMID27307138
PMCPMC4909305

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.