Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis
{"title":"微嵌合文学图集。","authors":"Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis","doi":"10.1177/11779322251324104","DOIUrl":null,"url":null,"abstract":"<p><p>The Microchimerism Literature Atlas (MCLA) is a comprehensive online dataset to facilitate the investigation of microchimerism (MC), condition where individuals harbor cells from another individual of the same species. The MCLA provides access to more than 15 000 references from MC research, covering peer-reviewed articles and reviews from 1970 to the present. Key features include a multidimensional search function and logical operators for assembling search queries. The MCLA dataset offers a clearly structured data table view, combined with dynamic graphical data representation and visual citation analysis, aiding in the investigation and identification of research trends and patterns. The MCLA supports data export in various formats and receives regular updates. The MCLA is being developed as an essential resource for the MC research community while its framework is easily adaptable for custom literature datasets, enabling its use in other research fields.</p>","PeriodicalId":9065,"journal":{"name":"Bioinformatics and Biology Insights","volume":"19 ","pages":"11779322251324104"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11967202/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Microchimerism Literature Atlas.\",\"authors\":\"Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis\",\"doi\":\"10.1177/11779322251324104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Microchimerism Literature Atlas (MCLA) is a comprehensive online dataset to facilitate the investigation of microchimerism (MC), condition where individuals harbor cells from another individual of the same species. The MCLA provides access to more than 15 000 references from MC research, covering peer-reviewed articles and reviews from 1970 to the present. Key features include a multidimensional search function and logical operators for assembling search queries. The MCLA dataset offers a clearly structured data table view, combined with dynamic graphical data representation and visual citation analysis, aiding in the investigation and identification of research trends and patterns. The MCLA supports data export in various formats and receives regular updates. The MCLA is being developed as an essential resource for the MC research community while its framework is easily adaptable for custom literature datasets, enabling its use in other research fields.</p>\",\"PeriodicalId\":9065,\"journal\":{\"name\":\"Bioinformatics and Biology Insights\",\"volume\":\"19 \",\"pages\":\"11779322251324104\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11967202/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioinformatics and Biology Insights\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/11779322251324104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics and Biology Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11779322251324104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
The Microchimerism Literature Atlas (MCLA) is a comprehensive online dataset to facilitate the investigation of microchimerism (MC), condition where individuals harbor cells from another individual of the same species. The MCLA provides access to more than 15 000 references from MC research, covering peer-reviewed articles and reviews from 1970 to the present. Key features include a multidimensional search function and logical operators for assembling search queries. The MCLA dataset offers a clearly structured data table view, combined with dynamic graphical data representation and visual citation analysis, aiding in the investigation and identification of research trends and patterns. The MCLA supports data export in various formats and receives regular updates. The MCLA is being developed as an essential resource for the MC research community while its framework is easily adaptable for custom literature datasets, enabling its use in other research fields.
期刊介绍：
Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
