MantisBT - MEGA
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IDProjectCategoryView StatusDate SubmittedLast Update
0002407MEGACalculation Errorpublic2020-12-04 12:292020-12-08 11:25
Reporterguest 
Assigned Togstecher 
PrioritynormalSeverityminorReproducibilityhave not tried
StatusresolvedResolutionnot fixable 
PlatformPCOSWindowsOS Version10
Product VersionMEGA 11 (Graphical Interface version) 
Target VersionFixed in Version 
First NameAurelien
Last NameLorin
Emaillorina@medicago.com
Confirm Emaillorina@medicago.com
Summary0002407: Not all RAM used
DescriptionHello,
using Mega7 for sequences aligment on a Virtual Machine, Mega7 does not use all the RAM available (only 4 Mo despite I indicated 64Mo) and stop with an error message that there is not enough memory for the calculus.
Using MegaX, I have an error message "Error-Aligmment: MUSCLE Log File did not end properly, suggesting an unhandled exception" which seems related also to not enough RAM according to forums.
Please could you help me to solve this problem?
Steps To Reproduce
Additional Information
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Attached Filespptx Problème Utilisation RAM Mega7.pptx (361,596) 2020-12-04 12:29
https://megasoftware.net/mantis_bt/
Issue History
Date ModifiedUsernameFieldChange
2020-12-04 12:29guestNew Issue
2020-12-04 12:29guestFile Added: Problème Utilisation RAM Mega7.pptx
2020-12-08 11:25gstecherNote Added: 0004529
2020-12-08 11:25gstecherStatusnew => resolved
2020-12-08 11:25gstecherResolutionopen => not fixable
2020-12-08 11:25gstecherAssigned To => gstecher

Notes
(0004529)
gstecher   
2020-12-08 11:25   
Hi Aurelien,
I am writing in response to your question regarding MUSCLE alignment using the MEGA software. Unfortunately, the developer of MUSCLE only distributes a 32-bit version for Windows so it is not able to utilize all the memory available on your system. To get around there are a couple of options:

    If you have access to a 64-bit Linux or macOS computer you can download a 64-bit version of MUSCLE for that system and run MUSCLE there
    You can use something like MAFFT which is designed for aligning large sequence data


Best regards,
Glen Stecher
Institute for Genomics and Evolutionary Medicine
igem.temple.edu