{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T08:07:58Z","timestamp":1767859678260,"version":"3.49.0"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"19","license":[{"start":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T00:00:00Z","timestamp":1660176000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871411"],"award-info":[{"award-number":["61871411"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271003"],"award-info":[{"award-number":["62271003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201008"],"award-info":[{"award-number":["62201008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University Synergy Innovation Program of Anhui Province","award":["GXXT-2021-001"],"award-info":[{"award-number":["GXXT-2021-001"]}]},{"name":"Sci-Tech Innovation 2030 Agenda","award":["2022ZD0205200"],"award-info":[{"award-number":["2022ZD0205200"]}]},{"name":"Sci-Tech Innovation 2030 Agenda","award":["2022ZD0205204"],"award-info":[{"award-number":["2022ZD0205204"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,30]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Summary<\/jats:title><jats:p>Recent whole-brain mapping projects are collecting increasingly larger sets of high-resolution brain images using a variety of imaging, labeling and sample preparation techniques. Both mining and analysis of these data require reliable and robust cross-modal registration tools. We recently developed the mBrainAligner, a pipeline for performing cross-modal registration of the whole mouse brain. However, using this tool requires scripting or command-line skills to assemble and configure the different modules of mBrainAligner for accommodating different registration requirements and platform settings. In this application note, we present mBrainAligner-Web, a web server with a user-friendly interface that allows to configure and run mBrainAligner locally or remotely across platforms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>mBrainAligner-Web is available at http:\/\/mbrainaligner.ahu.edu.cn\/ with source code at https:\/\/github.com\/reaneyli\/mBrainAligner-web.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac549","type":"journal-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T18:25:13Z","timestamp":1660242313000},"page":"4654-4655","source":"Crossref","is-referenced-by-count":11,"title":["mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0897-5270","authenticated-orcid":false,"given":"Yuanyuan","family":"Li","sequence":"first","affiliation":[{"name":"Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University , Hefei, Anhui 230000, China"}]},{"given":"Jun","family":"Wu","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University , Hefei, Anhui 230000, China"}]},{"given":"Donghuan","family":"Lu","sequence":"additional","affiliation":[{"name":"Tencent Jarvis Lab, Shenzhen , Guangdong 518020, China"}]},{"given":"Chao","family":"Xu","sequence":"additional","affiliation":[{"name":"Tencent Jarvis Lab, Shenzhen , Guangdong 518020, China"}]},{"given":"Yefeng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Tencent Jarvis Lab, Shenzhen , Guangdong 518020, China"},{"name":"SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University , Nanjing, Jiangsu 211170, China"}]},{"given":"Hanchuan","family":"Peng","sequence":"additional","affiliation":[{"name":"SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University , Nanjing, Jiangsu 211170, China"}]},{"given":"Lei","family":"Qu","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University , Hefei, Anhui 230000, China"},{"name":"SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University , Nanjing, Jiangsu 211170, China"}]}],"member":"286","published-online":{"date-parts":[[2022,8,11]]},"reference":[{"key":"2023041408224224900_","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-019-13374-0","article-title":"Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRI","volume":"10","author":"Goubran","year":"2019","journal-title":"Nat. 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