<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gavrish GE</submitter><funding>Russian Foundation for Basic Research</funding><pagination>1026</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8533512</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(10)</volume><pubmed_abstract>Conduct a reanalysis of transcriptome data for studying intracellular signaling or solving other experimental problems is becoming increasingly popular. Gene expression data are archived as microarray or RNA-seq datasets mainly in two public databases: Gene Expression Omnibus (GEO) and ArrayExpress (AE). These databases were not initially intended to systematically search datasets, making it challenging to conduct a secondary study. Therefore, we have created the ARGEOS service, which has the following advantages that facilitate the search: (1) Users can simultaneously send several requests that are supposed to be used for systematic searches, and it is possible to correct the requests; (2) advanced analysis of information about the dataset is available. The service collects detailed proto</pubmed_abstract><journal>Biology</journal><pubmed_title>ARGEOS: A New Bioinformatic Tool for Detailed Systematics Search in GEO and ArrayExpress.</pubmed_title><pmcid>PMC8533512</pmcid><funding_grant_id>19-29-01243</funding_grant_id><pubmed_authors>Sergeeva MG</pubmed_authors><pubmed_authors>Gavrish GE</pubmed_authors><pubmed_authors>Chistyakov DV</pubmed_authors></additional><is_claimable>false</is_claimable><name>ARGEOS: A New Bioinformatic Tool for Detailed Systematics Search in GEO and ArrayExpress.</name><description>Conduct a reanalysis of transcriptome data for studying intracellular signaling or solving other experimental problems is becoming increasingly popular. Gene expression data are archived as microarray or RNA-seq datasets mainly in two public databases: Gene Expression Omnibus (GEO) and ArrayExpress (AE). These databases were not initially intended to systematically search datasets, making it challenging to conduct a secondary study. Therefore, we have created the ARGEOS service, which has the following advantages that facilitate the search: (1) Users can simultaneously send several requests that are supposed to be used for systematic searches, and it is possible to correct the requests; (2) advanced analysis of information about the dataset is available. The service collects detailed proto</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-05-18T12:31:37.64Z</modification><creation>2025-05-18T12:31:37.64Z</creation></dates><accession>S-EPMC8533512</accession><cross_references><pubmed>34681124</pubmed><doi>10.3390/biology10101026</doi></cross_references></HashMap>