Protocol: Estimating cross-ancestry local genetic correlation using Logica.

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Bibliographic Details
Title: Protocol: Estimating cross-ancestry local genetic correlation using Logica.
Authors: Gao B; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA; Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA., Li Z; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA., Zhou X; Department of Statistics and Data Science, Yale University, New Haven, CT 06511, USA. Electronic address: xiang.zhou.xz735@yale.edu.
Source: STAR protocols [STAR Protoc] 2026 Mar 20; Vol. 7 (1), pp. 104299. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-1667
DOI:10.1016/j.xpro.2025.104299