<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(2)</volume><submitter>Sen S</submitter><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</pubmed_abstract><journal>Genes</journal><pagination>332</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9956114</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>In Silico Mining and Characterization of High-Quality SNP/Indels in Some Agro-Economically Important Species Belonging to the Family Euphorbiaceae.</pubmed_title><pmcid>PMC9956114</pmcid><pubmed_authors>Rathi S</pubmed_authors><pubmed_authors>Slama P</pubmed_authors><pubmed_authors>Mandal SC</pubmed_authors><pubmed_authors>Ray S</pubmed_authors><pubmed_authors>Sen S</pubmed_authors><pubmed_authors>Sahu J</pubmed_authors><pubmed_authors>Roychoudhury S</pubmed_authors></additional><is_claimable>false</is_claimable><name>In Silico Mining and Characterization of High-Quality SNP/Indels in Some Agro-Economically Important Species Belonging to the Family Euphorbiaceae.</name><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</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2025-08-24T03:08:27.038Z</modification><creation>2024-11-21T07:31:10.787Z</creation></dates><accession>S-EPMC9956114</accession><cross_references><pubmed>36833259</pubmed><doi>10.3390/genes14020332</doi></cross_references></HashMap>