{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["14 Suppl 1"],"submitter":["Kido EA"],"pubmed_abstract":["<h4>Background</h4>Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectant-related sequences applied to short transcripts from a soybean HT-SuperSAGE (High Throughput Super Serial Analysis of Gene Expression; 26-bp tags) database, and also its comparison with other transcriptomic and genomic data available from different sources.<h4>Methods</h4>A curated set of osmoprotectants related sequences was generated using text mining and selected seed sequences for identification of the respective transcripts and proteins in higher plants. To test the efficiency of the seed sequences, these were aligned against four HT-SuperSAGE contrasting l"],"journal":["BMC bioinformatics"],"pagination":["S7"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3548699"],"repository":["biostudies-literature"],"pubmed_title":["Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress."],"pmcid":["PMC3548699"],"pubmed_authors":["Pandolfi V","Silva MD","Nepomuceno AL","Benko-Iseppon AM","Soares-Cavalcanti NM","Kido EA","Ferreira Neto JR","Bezerra Neto JP","Belarmino LC","Silva RL"],"additional_accession":[]},"is_claimable":false,"name":"Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress.","description":"<h4>Background</h4>Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectant-related sequences applied to short transcripts from a soybean HT-SuperSAGE (High Throughput Super Serial Analysis of Gene Expression; 26-bp tags) database, and also its comparison with other transcriptomic and genomic data available from different sources.<h4>Methods</h4>A curated set of osmoprotectants related sequences was generated using text mining and selected seed sequences for identification of the respective transcripts and proteins in higher plants. To test the efficiency of the seed sequences, these were aligned against four HT-SuperSAGE contrasting l","dates":{"release":"2013-01-01T00:00:00Z","publication":"2013","modification":"2025-04-05T11:44:57.989Z","creation":"2019-03-27T01:03:29Z"},"accession":"S-EPMC3548699","cross_references":{"pubmed":["23369061"],"doi":["10.1186/1471-2105-14-S1-S7"]}}