{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["14(2)"],"submitter":["Sen S"],"pubmed_abstract":["(1) Background: To assess the genetic makeup among the agro-economically important members of Euphorbiaceae, the present study was conducted to identify and characterize high-quality single-nucleotide polymorphism (SNP) markers and their comparative distribution in exonic and intronic regions from the publicly available expressed sequence tags (ESTs). (2) Methods: Quality sequences obtained after pre-processing by an EG assembler were assembled into contigs using the CAP3 program at 95% identity; the mining of SNP was performed by QualitySNP; GENSCAN (standalone) was used for detecting the distribution of SNPs in the exonic and intronic regions. (3) Results: A total of 25,432 potential SNPs (pSNP) and 14,351 high-quality SNPs (qSNP), including 2276 indels, were detected from 260,479 EST se"],"journal":["Genes"],"pagination":["332"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9956114"],"repository":["biostudies-literature"],"pubmed_title":["In Silico Mining and Characterization of High-Quality SNP/Indels in Some Agro-Economically Important Species Belonging to the Family Euphorbiaceae."],"pmcid":["PMC9956114"],"pubmed_authors":["Rathi S","Slama P","Mandal SC","Ray S","Sen S","Sahu J","Roychoudhury S"],"additional_accession":[]},"is_claimable":false,"name":"In Silico Mining and Characterization of High-Quality SNP/Indels in Some Agro-Economically Important Species Belonging to the Family Euphorbiaceae.","description":"(1) Background: To assess the genetic makeup among the agro-economically important members of Euphorbiaceae, the present study was conducted to identify and characterize high-quality single-nucleotide polymorphism (SNP) markers and their comparative distribution in exonic and intronic regions from the publicly available expressed sequence tags (ESTs). (2) Methods: Quality sequences obtained after pre-processing by an EG assembler were assembled into contigs using the CAP3 program at 95% identity; the mining of SNP was performed by QualitySNP; GENSCAN (standalone) was used for detecting the distribution of SNPs in the exonic and intronic regions. (3) Results: A total of 25,432 potential SNPs (pSNP) and 14,351 high-quality SNPs (qSNP), including 2276 indels, were detected from 260,479 EST se","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-08-24T03:08:27.038Z","creation":"2024-11-21T07:31:10.787Z"},"accession":"S-EPMC9956114","cross_references":{"pubmed":["36833259"],"doi":["10.3390/genes14020332"]}}