STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data.

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Title: STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data.
Authors: Bradley NJ; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America., Pendyala S; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.; Medical Scientist Training Program, University of Washington, Seattle, Washington, United States of America., Partington K; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.; Department of Bioengineering, University of Washington, Seattle, Washington, United States of America., Fowler DM; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.; Department of Bioengineering, University of Washington, Seattle, Washington, United States of America.; Brotman Baty Institute for Precision Medicine, Seattle, Washington, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Apr 27; Vol. 22 (4), pp. e1013689. Date of Electronic Publication: 2026 Apr 27 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1013689