ArticleBMC bioinformatics2014
CicArMiSatDB: the chickpea microsatellite database.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring Chickpea Germplasm Diversity for Broadening the Genetic Base Utilizing Genomic Resourses.Frontiers in genetics · 2022Pooled it
- Genome-wide identification of SSR markers from coding regions for endangered Argania spinosa L. skeels and construction of SSR database: AsSSRdb.Database : the journal of biological databases and curation · 2024Article
- Effects of different drying techniques of ground sprouted chickpeas on quality, textural properties, and sensory attributes of fried falafel.Food science & nutrition · 2024Article
- The Progression in Developing Genomic Resources for Crop Improvement.Life (Basel, Switzerland) · 2023Review
- Genetic Augmentation of Legume Crops Using Genomic Resources and Genotyping Platforms for Nutritional Food Security.Plants (Basel, Switzerland) · 2022Review
- CicerSpTEdb: A web-based database for high-resolution genome-wide identification of transposable elements in Cicer species.PloS one · 2021Article
- Article
- Co-localization of genomic regions associated with seed morphology and composition in a desi chickpea (Cicer arietinum L.) population varying in seed protein concentration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- MusatransSSRDB (a transcriptome derived SSR database) - An advanced tool for banana improvement.Journal of biosciences · 2019Article
- Current advances in chickpea genomics: applications and future perspectives.Plant cell reports · 2018Review
- Development of Highly Informative Genome-Wide Single Sequence Repeat Markers for Breeding Applications in Sesame and Construction of a Web Resource: SisatBase.Frontiers in plant science · 2017Article
- Boechera microsatellite website: an online portal for species identification and determination of hybrid parentage.Database : the journal of biological databases and curation · 2017Article
- PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers.Frontiers in plant science · 2016Article
- CicArVarDB: SNP and InDel database for advancing genetics research and breeding applications in chickpea.Database : the journal of biological databases and curation · 2015Article
- Development of genome-wide informative simple sequence repeat markers for large-scale genotyping applications in chickpea and development of web resource.Frontiers in plant science · 2015Article
- CTDB: An Integrated Chickpea Transcriptome Database for Functional and Applied Genomics.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChickpea (Cicer arietinum) is a widely grown legume crop in tropical, sub-tropical and temperate regions. Molecular breeding approaches seem to be essential for enhancing crop productivity in chickpea. Until recently, limited numbers of molecular markers were available in the case of chickpea for use in molecular breeding. However, the recent advances in genomics facilitated the development of large scale markers especially SSRs (simple sequence repeats), the markers of choice in any breeding program. Availability of genome sequence very recently opens new avenues for accelerating molecular breeding approaches for chickpea improvement. DESCRIPTION: In order to assist genetic studies and breeding applications, we have developed a user friendly relational database named the Chickpea Microsatellite Database (CicArMiSatDB http://cicarmisatdb.icrisat.org). This database provides detailed information on SSRs along with their features in the genome. SSRs have been classified and made accessible through an easy-to-use web interface.
conclusionsThis database is expected to help chickpea community in particular and legume community in general, to select SSRs of particular type or from a specific region in the genome to advance both basic genomics research as well as applied aspects of crop improvement.
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Registered trials
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.