{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T05:13:31Z","timestamp":1770182011939,"version":"3.49.0"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"vor","delay-in-days":6,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"crossref","award":["01ZX1905A"],"award-info":[{"award-number":["01ZX1905A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"crossref"}]},{"name":"European Union\u2019s Horizon Europe Research and Innovation","award":["101057250"],"award-info":[{"award-number":["101057250"]}]},{"name":"UK Erlangen IZKF","award":["26011443"],"award-info":[{"award-number":["26011443"]}]},{"name":"UK Erlangen IZKF","award":["DE IZKF-D043"],"award-info":[{"award-number":["DE IZKF-D043"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Long-read DNA sequencing is increasingly applied for whole-genome studies, yet experimental planning often lacks reliable estimates of target region coverage, leading to costly and time-consuming pilot studies and replicates. We present esloco, a Monte Carlo-based simulation framework for estimating local coverage in long-read sequencing experiments, including scenarios with unknown target regions (e.g. viral integration, CRISPR-Cas9) or PCR-free designs (e.g. base modifications). By modeling coverage as a function of sequencing depth and read length distribution, esloco enables informed predictions of local sequencing outcomes. Benchmarking across a 45-gene panel demonstrated close agreement with empirical data, underscoring the framework\u2019s reliability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>esloco is a Python package available on PyPI (https:\/\/pypi.org\/project\/esloco\/), GitHub (https:\/\/github.com\/aweich\/esloco), and Zenodo (https:\/\/doi.org\/10.5281\/zenodo.17776161).<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag009","type":"journal-article","created":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T12:39:27Z","timestamp":1767875967000},"source":"Crossref","is-referenced-by-count":0,"title":["esloco: simulation-based estimation of local coverage in long-read DNA 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