Community News | ||
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2022 Summer Institue in Plant Breeding Posted on Thursday, April 21st, 2022 The Summer Institute in Plant Breeding comprises continuing-education short courses for industry breeders, graduate students, and postdocs within and outside the University of Minnesota. The Summer Institute will be held on June 20-24, 2022, and it will include the following six modules: Plant Breeding; Genomic Prediction; Machine Learning; Polyploid Genomics; Genome-wide Markers and Bioinformatics. | ||
Soy2022 Meeting Scheduled Posted on Thursday, April 14th, 2022 Save the Date for the Molecular and Cellular Biology of the Soybean which is being held on August 22-23,2022. We will be gathering virtually to learn about advances in soybean research from the last four years. | ||
Soybean Pedigree Database Posted on Wednesday, April 13th, 2022 | ||
2022 Soybean GEC Elections Posted on Monday, April 11th, 2022 | ||
New Soybean Strain Pedigrees Added Posted on Wednesday, March 16th, 2022 | ||
Soybean Pedigree Database Posted on Tuesday, March 8th, 2022 | ||
New Strain Pedigrees Added Posted on Monday, March 7th, 2022 | ||
Soybean Parentage Database Posted on Friday, March 4th, 2022 | ||
2012 Uniform Soybean Tests Posted on Thursday, March 3rd, 2022 |
Upcoming Events | |
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Soy2022 Save the Date From: 8-22-2022 To: 8-23-2022 | |
World Soybean Research Conference 11 From: 6-18-2023 To: 6-23-2023 | |
Southern Soybean Breeder's Tour From: 9-6-2022 To: 9-8-2022 |
Results of a search at SoyBase are presented in two complementary ways.
The user-submitted search term is used to find exact lexical matches to the name or description of data objects in SoyBase (QTL, genes, etc.). If an exact match is not found, and when the search term was two or more words, then a further search is done using the individual words. These text-based matches are reported in the Text column of the results table.
The goal of the ontology search is to identify data objects in SoyBase that are related to the search term but which might not have the exact search word(s) in their name or description. Data in SoyBase are tagged using a soybean-specific ontology termed a SOYnumber (SOY#). The user-submitted search term is used to search this SoyBase ontology for an exact match. If an exact match is not found, and when the search term was two or more words, the individual words are used in an additional search. Once a match is found its SOY# is used to traverse the ontology tree to identify related terms. These terms are then used to find SoyBase objects that are related to those directly identified by the search term. These ontology-based matches are reported in the Ontology column of the results table.
Occasionally unrelated SoyBase data objects will be reported in the Ontology-based results along with the correctly identified ones. This is an unavoidable consequence of the the way we have structured the underlying trait, structure and development ontologies at SoyBase. For example a search for 'protein' also returns 'oil'-related objects since both are seed components.
Data Category | Search Was Performed Against |
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Genetic Marker | Genetic Markers (SNPs, SSRs, etc.). |
Gene | Gene records (ex. Glyma.15g026400, Fad2-1). |
QTL | Bi-Parental QTL and GWAS QTL collections. |
Germplasm Collections | The Induced Mutant and Uniform Field Trial records. |
Publications | Paper records and abstracts held within the Soybase data set. |
Sitemap, News & Tutorials | SoyBase Sitemap, News archive, Upcoming meetings and Tutorials. |
As an example of how these two searching capabilities can be helpful, a search for 'oil' will return those QTL that contain the word 'oil' in their name ('Seed oil', 'Seed oil to protein ratio', etc.) in the QTL line of the Text column. The Ontology column will contain these QTL along with the related QTL 'Seed palmitate', 'Seed oleic', etc.
Note: Because of the idiosyncratic ways that authors name phenotypic and developmental traits it is always advisable to look through the Ontology-based results, even when the submitted search term seems unambiguous. This can reveal additional SoyBase objects that might have been missed using exact text matching.
Funded by the USDA-ARS. Developed by the USDA-ARS SoyBase and Legume Clade Database group at the Iowa State University, Ames, IA | ||