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A couple comments on http://bioinformatics.oxfordjournals.org/cgi/reprint/bti565v1
sorin at wayne.edu
Wed Aug 3 15:48:37 PDT 2005
Thank you for your email. The paper dicusses the tools as they were 8-9
months ago, when we did this work. As you know, publishing paper
involves a certain time lag: submission, review, address any comments,
etc. The publisher does not allow further modifications of the paper at
this time but we have noted your comments and corrections and I will
include them in any future paper on this topic. For the time being, I am
currently working on a book on this topic to be published by Chapman and
Hall/CRC Press. The book is focused on tools for ontological analysis. I
would use this opportunity to inviite you and your collaborators (John
Weinstein, etc) to contribute a chapter about GO Miner and other related
tools you might have developed in this area. This would give you a first
hand opportunity to present the latest and greatest capabilities of your
tools. If you would like to contribute with this chapter, please let me
know and I will give you more details about it.
Barry Zeeberg wrote:
>I just now had a chance to glance through your review, and I noticed a few
>items related to GoMiner that should be corrected in an erratum. This is not
>exhaustive, as I have only had about one minute to peruse the literature.
>I will first note that your paper represents an important and ambitious
>attempt to provide orientation to users in this field. It is inevitable that
>some inaccuracies will creep in. Perhaps you could host a web site where
>authors of the cited papers can correct inaccuracies - maybe even come out
>with a second edition of the paper that contains all of the corrections?
>(1) GoMiner is a java application, and is therefore platform-independent,
>not restricted to Windows only. I have run it on mac os x (Unix) and Solaris
>a _lot_ of times.
>(2) The timing comparison should be done using a local database, since
>hitting on our database from a remote site will depend on network traffic
>etc. I did not read carefully enough to know if you did correctly use a
>local database that was properly installed. The presentation was a little
>ambiguous, in that GoMiner requires a total and a changed gene file as
>input. It is not clear if the number of genes on the x axis refers to the
>total or to the changed gene file? In fact, you only go up to 1000 genes max
>- this is silly, since we routinely analyze 10,000 - 20,000 genes in the
>total gene file (representing all of the genes on a microarray). Assuming
>a changed genes file of around 400 or 500 genes, and using a local database,
>the analysis is done in around the 350 seconds that your graph implies for
>(3) GoMiner supports all GO identifiers, as well as HUGO names. HUGO names
>are not supported by GO database, but we have a freely-available enhancement
>program to post modify the native GO database.
>(4) Your statement about Onto-Express being the only application that
>collapses (assigning descendant genes to parent) is wrong. GoMiner does
>(5) You state that GoMiner uses a local database server. The context of the
>statement strongly suggests that there is no alternative. In fact, GoMiner
>can use either a local database server or our database server, not to
>mention any other accessible build of the GO database hosted anywhere.
>[WARNING: the following contains some philosophizing and self-serving stuff
>that is not mandatory reading,and the casual reader might want to skip]
>You might have considered a comparison of the ability of the user to
>hyperlink out from the tool to find more information about the genes or
>categories of interest. For instance, GoMiner allows access to biocarta and
>kegg pathway maps, genecards, NCBI Entrez, NCBI 3D structures, etc. There is
>always a danger in a review of this type for the author to focus on features
>in which her or his tool excel. This is particularly true since each person
>will have a somewhat different view of what is important, and this viewpoint
>will coincide perfectly only for that author doing the review and her or
>his own tool. I would certainly not claim for myself sufficient objectivity
>to value a different point of view to the same extent that I value my own.
>As an admittedly self-serving bit of advertising for which I apologize in
>advance, I will mention that there is a recent paper on High-Throughput
>( http://discover.nci.nih.gov/gominer/htgm.jsp ).
>This is a web based application and therefore is platform independent.
>Among other things, it permits _integrative_ analysis of multiple microarray
>(or any other type of high throughput experiment), it implements a multiple
>comparisons correction, it provides visual information on the transcription
>factor binding sites in the genes and categories, and it provides clustered
>image map (CIM) visualizations of the relationships between interesting
>categories, genes, and experiments.
>Finally, since the time that GoMiner was evaluated for the review article,
>it has been enhanced enormously by virtue of being a pilot project in the
>caBIG initiative. In particular, it is fully integrated at the front end
>with data deposited in caWorkbench, and at the back end with VennMaster.
Sorin Draghici, Ph.D.
Director of the Bioinformatics Core, Karmanos Cancer Institute
Associate Professor Tel: (313) 577-5484
Dept. of Computer Science Fax: (313) 577-6868
Wayne State University
5143 Cass Ave, Room 431 State Hall,
Detroit, MI, 48202
WWW: http://vortex.cs.wayne.edu/Sorin/ (personal)
WWW: http://vortex.cs.wayne.edu/Projects.html (lab)
Check out my recent book: Data Analysis Tools for Microarrays:
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