Completed on 1 Jun 2016 by Mihaela Pertea.
Login to endorse this review.
Author response is in blue.
In this revised version of the manuscript the authors present a better explanation of their algoirthm and make a more thorough evaluation of their approach by including one real data set, and a larger simulated data set. On all data sets tested AGOUTI performs better than its competitor. I am still not convinced from the data presented here that AGOUTI will improve the assembly after a good DNA scaffolder was applied, but I have no doubt that some users will find it useful for their genome assembly tasks.
Level of interest
Please indicate how interesting you found the manuscript:
An article of limited interest .
Quality of written English
Please indicate the quality of language in the manuscript:
Declaration of competing interests
Please complete a declaration of competing interests, considering the following questions:
1. Have you in the past five years received reimbursements, fees, funding, or salary from an
organisation that may in any way gain or lose financially from the publication of this
manuscript, either now or in the future?
2. Do you hold any stocks or shares in an organisation that may in any way gain or lose
financially from the publication of this manuscript, either now or in the future?
3. Do you hold or are you currently applying for any patents relating to the content of the
4. Have you received reimbursements, fees, funding, or salary from an organization that
holds or has applied for patents relating to the content of the manuscript?
5. Do you have any other financial competing interests?
6. Do you have any non-financial competing interests in relation to this paper?
If you can answer no to all of the above, write 'I declare that I have no competing interests'
below. If your reply is yes to any, please give details below.
I declare that I have no competing interests.
I agree to the open peer review policy of the journal. I understand that my name will be included
on my report to the authors and, if the manuscript is accepted for publication, my named report
including any attachments I upload will be posted on the website along with the authors'
responses. I agree for my report to be made available under an Open Access Creative Commons
CC-BY license (http://creativecommons.org/licenses/by/4.0/). I understand that any comments
which I do not wish to be included in my named report can be included as confidential comments
to the editors, which will not be published.
I agree to the open peer review policy of the journal.
Authors' response to reviews: (https://static-content.springer.com/openpeerreview/art%3A10.1186%2Fs13742-016-0136-3/13742_2016_136_AuthorComment_V2.pdf)