Evidence map›Paper›PMID 35037201›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Doing Genetic and Genomic Biology Using the Legume Information System and Associated Resources.

Sven Redsun, Sam Hokin, Connor T Cameron, Alan M Cleary, Joel Berendzen, Sudhansu Dash, Anne V Brown, Andrew Wilkey, Jacqueline D Campbell, Wei Huang and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. HumanMine: advanced data searching, analysis and cross-species comparison.Database : the journal of biological databases and curation · 2022
    Article
  9. 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

14 authors.

Sven RedsunNational Center for Genome Resources, Santa Fe, NM, USA.
Sam HokinNational Center for Genome Resources, Santa Fe, NM, USA.
Connor T CameronNational Center for Genome Resources, Santa Fe, NM, USA.
Alan M ClearyNational Center for Genome Resources, Santa Fe, NM, USA.
Joel BerendzenNational Center for Genome Resources, Santa Fe, NM, USA.
Sudhansu DashNational Center for Genome Resources, Santa Fe, NM, USA.
Anne V BrownCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Andrew WilkeyORISE, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Jacqueline D CampbellCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Wei HuangCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Scott R KalbererCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Nathan T WeeksCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Steven B CannonCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA. steven.cannon@usda.gov.
Andrew D FarmerNational Center for Genome Resources, Santa Fe, NM, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this chapter, we introduce the main components of the Legume Information System ( https://legumeinfo.org ) and several associated resources. Additionally, we provide an example of their use by exploring a biological question: is there a common molecular basis, across legume species, that underlies the photoperiod-mediated transition from vegetative to reproductive development, that is, days to flowering? The Legume Information System (LIS) holds genetic and genomic data for a large number of crop and model legumes and provides a set of online bioinformatic tools designed to help biologists address questions and tasks related to legume biology. Such tasks include identifying the molecular basis of agronomic traits; identifying orthologs/syntelogs for known genes; determining gene expression patterns; accessing genomic datasets; identifying markers for breeding work; and identifying genetic similarities and differences among selected accessions. LIS integrates with other legume-focused informatics resources such as SoyBase ( https://soybase.org ), PeanutBase ( https://peanutbase.org ), and projects of the Legume Federation ( https://legumefederation.org ).

Indexed as

FabaceaeDatabases, GeneticGenome, PlantGenomicsPlant BreedingComparative genomicsCoNekTDays to flowerGene familiesGenome context viewerGWASInterMineLegume information systemPan-genomeZZBrowse

Identifiers

PMID35037201

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.