Content of review 1, reviewed on March 21, 2016

The massive accumulation in sequencing project data calls for data management solutions that specifically focus on genomic variations. The authors present an infrastructure and associated front-end to serve those needs. The current focus appears to be an data retrieval, not so much on data interrogation. For example, while location information is provided (e.g. intergenic), it would be even more helpful to show all sequence variations in their genomic context as is frequently done in genomic viewers, where variations are added as tracks. The developed framework can be deployed at the user's site and is facilitated by the online demo version that nicely demonstrates the system's capabilities. Various export format options allow for flexible follow-up processing.

When testing Gigwa I found it a bit unintuitive in that I was not sure what operation triggers a new data retrieval and display. The detail information appearing when hitting the magnifying glass may benefit from a legend (what is PL, AC?). The zoom-able profile plots are very nice. Again, in conjunction with genome annotation - if available - would render the display more useful. Gigwa's performance feels "snappy" and robust (for the provided test data).

The manuscript is well written and describes the developed service with sufficient detail.

In summary, this reviewer believes that Gigwa can support genomics projects and will find its use.

Level of interest

Please indicate how interesting you found the manuscript:
An article of importance in its field

Quality of written English

Please indicate the quality of language in the manuscript:
Acceptable

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Authors' response to reviews: (http://www.gigasciencejournal.com/imedia/8415335892012167_comment.pdf)


Source

    © 2016 the Reviewer (CC BY 4.0).

References

    Guilhem, S., Florian, P., Alexis, D., Manuel, R., Gautier, S., Pierre, L. 2016. Gigwa-Genotype investigator for genome-wide analyses. GigaScience.