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Peer Review reports

From: SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data

Original Submission
22 Feb 2023 Submitted Original manuscript
19 Mar 2023 Reviewed Reviewer Report
21 Mar 2023 Reviewed Reviewer Report
26 Mar 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 2
26 Mar 2023 Submitted Manuscript version 2
27 Mar 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 3
27 Mar 2023 Submitted Manuscript version 3
11 Apr 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 4
11 Apr 2023 Submitted Manuscript version 4
13 Apr 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 5
13 Apr 2023 Submitted Manuscript version 5
14 Apr 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 6
14 Apr 2023 Submitted Manuscript version 6
18 Apr 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 7
18 Apr 2023 Submitted Manuscript version 7
27 Apr 2023 Reviewed Reviewer Report
30 Apr 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 8
30 Apr 2023 Submitted Manuscript version 8
4 May 2023 Author responded Author comments - Yan Zheng
Resubmission - Version 9
4 May 2023 Submitted Manuscript version 9
Publishing
6 May 2023 Editorially accepted
23 May 2023 Article published 10.1186/s12859-023-05324-x

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