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Is there a Mac or Unix version of GenMAPP available? |
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The current GenMAPP has been written in Visual Basic
and is therefore limited to computers running the
Windows operating system. For other operating systems, we recommend the PathVisio program, which has the same functionality as GenMAPP in terms of pathway viewing and editing, data representation and analysis. For pathway and GO over-representation analysis, we also recommend the GO-Elite program.
The next version of GenMAPP will have a
platform-independent implementation. For information
on current open-source development of GenMAPP and
how to participate, click here.
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Why can't I download any data? |
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I can't download via the Data Acquisition Tool. Do you have an alternative download site? |
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It may not be possible for you to access the GenMAPP
download site via the Data Acquisition Tool due to firewalls. Our alternative download site has Gene Databases, MAPP Archives and Expression Datasets for all GenMAPP supported species:
http://root.genmapp.org/dtr/, where files are organized by species. By double-clicking on the downloaded archive files, the appropriate Gene Database, MAPP Archive, or example Expression Dataset file will be automatically extracted into the directory
you downloaded to. Please note, it is recommended that users primarily use the Data Acquisition Tool for all downloads unless problems persist, as additional file information and download options are provided. |
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How can I download MAPPs (pathways) and gene databases for GenMAPP version
2? |
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Only a few tutorial MAPPs along with a tutorial expression dataset and gene database are provided by default with GenMAPP 2. However, gene databases and MAPPs
for a number of species can be downloaded using the
Data Acquisition Tool under the Data menu in GenMAPP.
Select files for download and select the folder you
want to download to. Immediately following download
the files will automatically extract into the
specified download folders. |
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How do I get a license to use GenMAPP? |
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GenMAPP is free of charge to the entire scientific community.
To download GenMAPP, simply register
here.
Source code for GenMAPP 2 applications is available
at SourceForge.net (http://sourceforge.net/projects/genmapp),
under an Apache open source license agreement. In
addition to GenMAPP 2, source code contributed by
the GenMAPP development community will be posted
here. To post new source code here, please contact
us at:
genmapp@gladstone.ucsf.edu. |
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How do I update to a new version of GenMAPP from an older Installation? |
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If you are upgrading from a previous version of GenMAPP (version 1.0 or 1.0 beta), you are not required to uninstall your previous version of GenMAPP, however, GenMAPP file associations (MAPP files and GEX
files) will be associated with the latest installed version.
Any custom MAPPs can be converted to GenMAPP 2
format using the Converter tool. Expression Datasets (Gex files)
can also be converted, but we highly recommend that
data be re-imported from scratch instead. Please see
GenMAPP Help for more information. |
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Can I include MAPP images and GenMAPP files within or with a publication? |
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We encourage GenMAPP users to
use MAPP file images in publications and on the web. More about exporting publication quality images can be found below. Although MAPPs contain a copyright, this only serves to ensure proper author and institution information is included with any publication. We recommend that author information is included in the figure legend of any publication, since a large number of MAPPs are contributed by users like you and require specific citing. Likewise, if you publish a new MAPP within a journal, we highly encourage you to submit your MAPP file to GenMAPP.org for redistribution (e-mail genmapp@gladstone.ucsf.edu). To cite GenMAPP or MAPPFinder versions 1.0 or 2, please use the appropriate version 1.0 publication references found
here. |
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Can I redistribute official GenMAPP MAPP archive
files? |
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GenMAPP distributed MAPP files are governed by the
Creative Commons Attribution-Noncommercial-Share
Alike 3.0 Unported license. For details on this
license, visit
Creative Commons. |
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Did the definition of the GenMAPP acronym recently change? |
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On August 12, 2004, we revised the GenMAPP acronym from "Gene MicroArray Pathway Profiler" to "Gene Map Annotator and Pathway Profiler". This change has been made in light of the fact that GenMAPP is now used for a wide variety of data types in addition to microarray data (e.g. gene trapping, SNPs, functional genomic experiments). The new GenMAPP definition reflects the use of GenMAPP to annotate pathways for use with any type of genomic data. If preparing a manuscript referencing the definition of GenMAPP, please use the new definition and additionally reference http://www.genmapp.org. |
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Is GenMAPP still being developed? |
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The next version of the GenMAPP software, GenMAPP-CS, is currently being developed and a beta version is expected in 2011. GenMAPP-CS is being developed as an open-source, Java-based program integrated into Cytoscape, and will include greatly expanded visualization and analysis options. Detailed development plans are available on our wiki. We are also developing WikiPathways, a community wiki for pathway curation and editing.
While GenMAPP 2.0 is no longer actively developed in its current form, it is still fully supported.
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Are my old MAPPs compatible with later builds of GenMAPP? |
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GenMAPP version 2 contains a
Converter tool that will help you convert your
version 1.0 MAPPs to version 2 compatible format.
Some IDs on MAPPs may not be converted with this
tool. Please check the gene IDs on your converted MAPPs. |
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Where can I get a list of descriptions for each drafting tool and its properties? |
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GenMAPP
Help provides information on all objects available
for pathway editing. GenMAPP Help is available from
the Help menu in GenMAPP and
here. |
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What type of expression data does GenMAPP accept (i.e. oligonucleotide arrays, cDNA, protein, etc)? |
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Data for use in GenMAPP must have a primary ID
supported by GenMAPP. For a list of supported ID
systems, see
GenMAPP Help.
If your data is not annotated with any of the supported ID systems, you have a variety of options. As a preferred method, please convert your primary GenBank accession numbers, clonal IDs, or microarray specific IDs to an ID supported by the Gene Database of interest. Several conversion
tools are publicly available, see a list of common ones
here.
In addition, the GenMAPP 2 Gene Databases allow for addition of any user-defined
ID system. For details on how to customize a
database or create a database for a non-supported
species, see our
Custom Database Manual
or
GenMAPP
Help.
If none of these options apply, please contact us at: genmapp@gladstone.ucsf.edu |
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How do I include exceptions after importing a dataset? |
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Exceptions during GenMAPP data import are rows of
data that could not be imported to GenMAPP.
Exceptions can be caused by problems with formatting
or gene IDs. You can process exceptions by correcting the error in the exceptions file
(.EX.txt) and then importing the file again. For
example, you can assign alternative IDs to Gene IDs
not found by GenMAPP. Exceptions may occur due to a variety of other reasons (please
refer to comments in the exception file and
GenMAPP Help). If the problems with import can not be corrected, please contact us at genmapp@gladstone.ucsf.edu. |
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Which species do you support and
what do the databases contain? |
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Detailed information on which species are supported
by GenMAPP and what each of the available gene
databases contain can be found
here. |
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How do I include my own internal database in GenMAPP to link my genes to my expression data? |
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GenMAPP allows for addition of any user defined
ID system to the database. Please see
GenMAPP Help for details. |
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MAPPFinder produces a runtime error #3346, "Number of query values and destination fields are not the same," on European configured Windows OS, how can I fix this? |
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Some European users have experienced difficulties
using MAPPFinder due to the use of a comma "," as the decimal separator
on European-configured operating systems. MAPPFinder relies on SQL statements which use commas to separate variables in the query statement, so the comma decimal separator creates problems. To fix this problem, in Windows go to Start->Settings->Control Panel->Regional Options. In regional options, there is a tab menu called "Numbers." In this menu you'll see a text box titled "Decimal Symbol. Make sure that your decimal symbol is a period "." not a comma or any other character. |
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MAPPFinder produces a runtime Run-time error ‘3075’: Syntax error in date in query expression ‘1.#INF’, how can I fix this? |
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Some users have experienced difficulties using MAPPFinder when their system settings for Date is formatted as "mm-dd-yyyy" or "dd-mm-yyyy". This setting is especially common on European configured Windows OS. To fix this problem, in Windows 2000 go to Start->Settings->Control Panel->Regional Options. In regional options, there is a tab menu called "Date." Change the Short Date format to "M/d/yyyy". In Windows XP, under Control Panel->Regional Options, change the Short Date field to M/d/yyyy. |
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MAPPFinder analysis takes too long. What can I do? |
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Depending on your system's configuration, a typical MAPPFinder analysis may take a long time to finish, or in some cases may appear to be stalled. This is because MAPPFinder requires significant memory allocations to run. If you are having trouble running MAPPFinder, please consider trying the GO-Elite program. GO-Elite does not have the same performance issues as MAPPFinder and also includes an improved algorithm to identify a minimal non-redundant set of Gene Ontology (GO) biological terms or pathways. GO-Elite works with both GO terms and pathways, just like MAPPFinder and results are formatted like the MAPPFinder results files. |
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How do I export a MAPP image as vector image (i.e. EPS, PDF)? |
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GenMAPP is a vector-based graphics program and thus has the intrinsic capacity to export MAPP images in a vector format. Although there currently
isn't a supported vector export function within
GenMAPP, users with an full version of Adobe Acrobat 4.0 or higher, have the ability to print as a PDF file from any vector based program. For more information on this product, go to: http://www.adobe.com/products/acrobat/main.html. The resulting exported PDF file can now be modified in a variety of vector based drawing programs (i.e. importing as PDF in Adobe Illustrator or changing the file extension to .eps for import into other drawing programs). |
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What are the various MAPP archives
that GenMAPP distributes? |
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GenMAPP distributes several different archives of
pathway MAPPs, that are continually updated.
Detailed descriptions and statistics on all
distributed MAPP archives can be found
here. GenMAPP pathways can also be browsed at
WikiPathways. |
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How were the KEGG pathways converted to GenMAPP MAPPs? |
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The
pathways in the "KEGG_Converted" archive were converted using the KGML
supplied by KEGG (V2). Sometimes the KGML does not exactly match the
graphical representation given by KEGG and this is reflected in the GenMAPP MAPPs. |
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Why do the pathways on the KEGG site show EC numbers while the GenMAPP MAPPs show gene names? |
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The EC numbers provided by KEGG
are enzyme IDs, and have different genes associated
with them for each respective species. On the KEGG website
you can see these genes when you click on a colored
EC box. In GenMAPP, we chose to display the gene
names instead of the EC numbers, when available. In
the case where an EC number has many genes
associated with it, we attempt to show all associated genes. |
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How should I use the converted KEGG MAPPs? |
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These
MAPPs are provided as a starting point for further
curation. In some cases, you will be able to use a KEGG converted
MAPP with some editing, instead of starting from scratch. |
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How do I reduce the number of significant digits for the data I choose to display on the MAPPs? |
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Currently, GenMAPP doesn't allow you to choose the number of significant digits to be displayed on the MAPPs. It will simply display the numbers as they appear in your raw input file. To change the way numbers are displayed on the MAPPs, change the data before import to GenMAPP. If you are working in Excel, you can do this by selecting the field of data you want to alter, and then choosing Format – Cells. Under the Number tab, you can set the number of decimal points to your liking. |
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I have found that some objects on the converted KEGG MAPPs are overlapping. Can you prevent this? |
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Not at this time. Please carefully review each map. |
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When I import my GenBank accession numbers into GenMAPP, the IDs are not found, how can I get these IDs into GenMAPP? |
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Due to the large EST libraries
included in the GenBank database, there are an extremely large number of Genbank accession numbers that can be used to represent the same gene.
Including this large number of accession numbers in the GenMAPP Gene Database is
impossible due to database size restrictions. For a
list of supported ID systems, see
GenMAPP Help.
If your data is not annotated with any of the supported ID systems, you have a variety of options. As a preferred method, please convert your primary GenBank accession numbers, clonal IDs, or microarray specific IDs to an ID supported by the Gene Database of interest. Several conversion
tools are publicly available, see a list of common ones
here.
In addition, the GenMAPP 2 Gene Databases allow for addition of any user-defined
ID system. For details on how to customize a
database or create a database for a non-supported
species, see our
Custom Database Manual
or
GenMAPP
Help.
If none of these options apply, please contact us at genmapp@gladstone.ucsf.edu |
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Can I run
GenMAPP on an Intel-based Mac computer? |
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GenMAPP has been successfully tested on Intel-based
Macintosh computers under Parallels and Boot Camp.
The only known problem is in Parallels, where the
Data Acquisition Tool (Downloader is not able to
connect to the GenMAPP servers. The workaround for
this is to download databases, MAPPs and other
accessory files direclty from our alternative
download site (http://root.genmapp.org/dtr/),
using an internet browser.
If you have other problems running GenMAPP on
Intel-based Macs, please contact us at
genmapp@gladstone.ucsf.edu |
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