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SpectConnect: Analysis of GC/MS Datasets

Now hosted at Georgia Tech). Analyze your GC/MS data in three steps. Step 1: Extract putative components using AMDIS. Click here to show more detailed instructions on how to use AMDIS. Step 2: Use SpectConnect to find conserved components and biomarkers. Fill in the fields below and click the submit button. Maximum number of samples per condition:. MSL lilbrary file for target identifications (optional):. Email address to receive notification/results (optional):. Note: to cite us, use Styczynski et al.

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SpectConnect: Analysis of GC/MS Datasets | spectconnect.mit.edu Reviews
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Now hosted at Georgia Tech). Analyze your GC/MS data in three steps. Step 1: Extract putative components using AMDIS. Click here to show more detailed instructions on how to use AMDIS. Step 2: Use SpectConnect to find conserved components and biomarkers. Fill in the fields below and click the submit button. Maximum number of samples per condition:. MSL lilbrary file for target identifications (optional):. Email address to receive notification/results (optional):. Note: to cite us, use Styczynski et al.
<META>
KEYWORDS
1 welcome to spectconnect
2 number of conditions
3 condition 1 name
4 elu file #1
5 elu file #2
6 elu file #3
7 note
8 and this file
9 questions
10 coupons
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welcome to spectconnect,number of conditions,condition 1 name,elu file #1,elu file #2,elu file #3,note,and this file,questions
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SpectConnect: Analysis of GC/MS Datasets | spectconnect.mit.edu Reviews

https://spectconnect.mit.edu

Now hosted at Georgia Tech). Analyze your GC/MS data in three steps. Step 1: Extract putative components using AMDIS. Click here to show more detailed instructions on how to use AMDIS. Step 2: Use SpectConnect to find conserved components and biomarkers. Fill in the fields below and click the submit button. Maximum number of samples per condition:. MSL lilbrary file for target identifications (optional):. Email address to receive notification/results (optional):. Note: to cite us, use Styczynski et al.

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Interpreting SpectConnect's Results

http://spectconnect.mit.edu/interpret.html

These files provide the conserved, deconvoluted metabolites that are present in the samples in a given class. By default, these metabolites are present in at least 75% of the samples for a given class, though this can be changed via the "Additional User Options" button. A file is provided for each condition, and the name given for the file is the name of the condition provided by the user, appended with ".MSL". The files contain the data for a series of metabolites in the following format:. This line is ...

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