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

Nicholas J. Bradley, Sriram Pendyala, Katie Partington, Douglas M. Fowler

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DOI: 10.1371/journal.pcbi.1013689
Published: 2026-04-27
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1013689,
  title = {STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data},
  author = {Nicholas J. Bradley and Sriram Pendyala and Katie Partington and Douglas M. Fowler},
  year = {2026},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1013689},
  url = {https://doi.org/10.1371/journal.pcbi.1013689}
}

RIS

TY  - JOUR
TI  - STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data
AU  - Nicholas J. Bradley
AU  - Sriram Pendyala
AU  - Katie Partington
AU  - Douglas M. Fowler
PY  - 2026
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1013689
UR  - https://doi.org/10.1371/journal.pcbi.1013689
ER  -

APA

Bradley, N. J., Pendyala, S., Partington, K., & Fowler, D. M. (2026). STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1013689

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crossref · retrieved 2026-09-24T23:13:49.072Z