Evidence map›Paper›PMID 25005261›Full record

ArticleMolecular biology reports2014

FmTFDb: a foxtail millet transcription factors database for expediting functional genomics in millets.

Venkata Suresh Bonthala, Mehanathan Muthamilarasan, Riti Roy, Manoj Prasad

Abstract read
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In one paragraph

Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Genomic resources, opportunities, and prospects for accelerated improvement of millets.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  2. The Genomic SSR Millets Database (GSMDB): enhancing genetic resources for sustainable agriculture.Database : the journal of biological databases and curation · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Multi-omics intervention inFrontiers in plant science · 2022
    Review
  7. Review
  8. Article
  9. Advances in Setaria genomics for genetic improvement of cereals and bioenergy grasses.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Review
  10. Review
  11. Article
  12. Article
  13. 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

4 authors at 1 institution in 1 country.

Venkata Suresh BonthalaNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, JNU Campus, New Delhi, 110 067, India.
Mehanathan Muthamilarasan
Riti Roy
Manoj Prasad
National Institute of Plant Genome Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foxtail millet has recently been regarded as a model crop for studying the systems biology of millets and bioenergy grass species. For expediting the functional genomic studies in this model crop as well as in the related millets and bioenergy grasses, we have developed a comprehensive transcription factor database. Our foxtail millet transcription factors database (FmTFDb: http://59.163.192.91/FmTFDb/index.html ) encompasses 2,297 putative TFs in 55 families along with its sequence features, chromosomal locations, tissue-specific gene expression data, gene ontology (GO) assignment, and phylogeny. FmTFDb is intended to provide the users an unrestricted public access in retrieving and visualizing the individual members of a TF family through a set of query interfaces and analysis tools, including the BLAST search, annotation query interfaces, and tools to identify enriched GO terms and to visualize physical maps. This FmTFDb will serve as a promising central resource for researchers as well as breeders who are dedicated towards crop improvement of millets and bioenergy grasses.

Indexed as

Databases, GeneticGenomicsSetaria PlantTranscription FactorsChromosome MappingChromosomes, PlantInternetUser-Computer InterfaceTranscription Factors

Identifiers

PMID25005261
OpenAlexW2059481585

What OpenQuestion holds

Textmetadata
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.