Reviewer name and names of any other individual's who aided in reviewer	Tong Wei, Wenhui Zhou
Do you understand and agree to our policy of having open and named reviews, and having your review included with the published manuscript. (If no, please inform the editor that you cannot review this manuscript.)	Yes
Is the language of sufficient quality?	Yes
Please add additional comments on language quality to clarify if needed
Is there a clear statement of need explaining what problems the software is designed to solve and who the target audience is?	Yes
Additional Comments
Is the source code available, and has an appropriate Open Source Initiative license <a href="https://opensource.org/licenses" target="_blank">(https://opensource.org/licenses)</a> been assigned to the code?	No
Additional Comments	It is a website without source codes
As Open Source Software are there guidelines on how to contribute, report issues or seek support on the code?	Yes
Additional Comments
Is the code executable?	Yes
Additional Comments
Is installation/deployment sufficiently outlined in the paper and documentation, and does it proceed as outlined?	Yes
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Is the documentation provided clear and user friendly?	Yes
Additional Comments
Is there enough clear information in the documentation to install, run and test this tool, including information on where to seek help if required?	Yes
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Is there a clearly-stated list of dependencies, and is the core functionality of the software documented to a satisfactory level?	Yes
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Have any claims of performance been sufficiently tested and compared to other commonly-used packages?	Yes
Additional Comments
Is test data available, either included with the submission or openly available via cited third party sources (e.g. accession numbers, data DOIs)?	Yes
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Are there (ideally real world) examples demonstrating use of the software?	Yes
Additional Comments
Is automated testing used or are there manual steps described so that the functionality of the software can be verified?	Yes
Additional Comments	major comments: 1. Sample Information: The description of sample information in the paper and the database is limited, relying mainly on descriptions in publications and NCBI BioSample entries. It would be helpful to have more detailed sample information in future studies. 2. Phenotype Information: The phenotypes in the phenome section lack classification and statistics for the types of phenotypes collected in the samples. Additionally, I am wondering whether it is reasonable to include Expression Viewer in this section. 3. Diversity of Data Sources: The paper mentions the use of NGS sequences from different sources. Are there any batch effects in data from different batches? It is recommended to discuss these impacts in more detail and provide some evaluation. 4. Variant calling and Quality Control: Detailed descriptions of each analysis step are required in producing SNP data. For example, how were differences in reference genomes handled during variant calling? What filtering criteria are used to filter low quality SNPs? 5. Results Presentation: In the results presentation section (1) Include statistical data such as the number of SNPs, coverage, etc., to more comprehensively show the database's features. (2) Further analyze the differences in SNP distribution among different sample types (e.g., industrial hemp, medicinal cannabis) to reveal their genetic variation characteristics. (3) It would be nice to see some examples, such as SNP-based genetic diversity analysis and association analysis, to showcase the database's application
Any Additional Overall Comments to the Author	The creation of the CannSeek is a significant contribution to the field of cannabis genomics, filling a gap in existing research tools. It provides a user-friendly interface that allows researchers to access and analyze large amounts of genotype data, which is crucial for genetic research and cultivar improvement of cannabis. The paper details the process of generating, storing, and retrieving SNP data, as well as the related bioinformatics tools and methods, which are very useful for other researchers to replicate and extend these methods. Although some details should be provided to increase the data accessibility.
Recommendation	Minor Revisions