Software:TIQAM
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| ==Introduction== | ==Introduction== | ||
| - | TIQAM (Targeted Identification for Quantitative Analysis by MRM) is developed as a suite of software tools to support targeted indentification and quantification using multiple reaction monitoring (MRM) mass spectum technology. More specifically, TIQAM software provided user friendly interfaces to assist process of peptide selection, transition generation and validation. The overview of the software supporting work flow is illustrated by the following figure ([http://www.mcponline.org/cgi/content/abstract/M800032-MCP200v1 Lange et al. 2008 Mol Cell Proteomics]). | + | Corra is a single, user-friendly, informatic framework, that is simple to use and fully customizable, for the enabling of LC-MS-based quantitative proteomic workflows of any size, able to guide the user seamlessly from MS data generation, through data processing, visualization, and statistical analysis steps, to the identification of differentially abundant or expressed candidate features for prioritized targeted identification by subsequent MS/MS. |
| - | [[Image:TIQAMWorkFlow.jpg]] | + | A goal of Corra was to enable the integration of multiple and disparate LC-MS data analysis tools, and integrate them, seamlessly, with common statistical packages to allow for better comparison between differently-processed datasets, via the addition of statistical measures of confidence and error rates. The integration of tools was achieve via AMPL (Annotated Putative peptide Markup Language) and the various parsers, and in the current build of Corra, we have implemented SpecArray and SuperHirn. Current distributed Corra contains APML adapted open source of SpecArray and SuperHirn. |
| - | ==Detailed information and reference== | + | [[Image:CorraWorkFlow.png]] |
| - | TIQAM currently consists of 3 modules: | + | |
| - | ===TIQAM-digestor=== | + | |
| - | TIQAM-digestor is used to create a list of transitions for MRM measurements. Starting from a fasta file with proteins, peptides are generated by digestion (with options to include and exclude peptides based on pattern matching). To prioritize peptides which should be targeted, pepXML files or tables (format: peptide, number) can be uploaded. Peptides are sorted within the proteins. Transitions are generated based on user criteria. | + | ==APML== |
| + | APML is currently used as a standard interface for Corra framework and software developed by Mi-Youn Brusniak at ISB Ruedi Aebersold Lab. | ||
| - | ===TIQAM-viewer=== | + | [View APML Schema] |
| - | In TIQAM-viewer MRM and MRM triggered MS2 data can be viewed to validate transitions. Best transitions can be exported for quantification. | + | [View APML Schema Documentation] |
| - | All data and user input is saved in the mySQL database. So you may stop and restart at any time. However, reports (exports) are not saved in the database. | + | |
| - | ====Import of data==== | + | |
| - | Before importing data make sure, all modifications are correctly defined. The names of the modifications in the csv file and on the modification page need to match. | + | |
| - | TIQAM expects the following data formats: | + | ===Installation Instruction=== |
| - | * Centroided [[Formats:mzXML|mzXML]] data (use [http://web.bii.a-star.edu.sg/~wongch/mzWiff/ mzWiff] for conversion of data from ABI/MDS Sciex instruments.) | + | Current distributed Corra v1.5 can be downloaded to your linux system by the following steps. |
| - | * A csv file with the list of transitions and associated proteins. Such a file is generated by TIQAM-digestor. | + | |
| - | * pepXML files. This file is generated by the [[Software:TPP|TPP]] when xinteract is run. | + | |
| - | ====Basic operation==== | + | 1. download Corra-v1.5.tgz |
| - | Start by selecting a project and experiment. Then select proteins and peptides to view. In the MRM trace window you will see the traces. The tick marks at the top indicate the acquisition of MS2 spectra. Clicking in the trace window will update the MS2 spectrum. The current MS2 spectrum is indicated by a red arrow in the MRM-trace window. You may zoom by drawing a rectangle with the mouse. Right click unzooms again. | + | 2. tar -xzvf Corra-v1.5.tgz |
| - | MS2 spectra have the matching B, Y or Y+\+ ions colored in the color of the series. If you click into the MS2 spectrum, you can scroll to the next acquired MS2 spectrum by the right or left arrow key. | + | |
| - | ====Validating transitions==== | + | 3. The detailed installation and setup information can be found in Corra/doc of the untarred file or by downloading [Corra Installation Guide.doc] |
| - | To validate a transition select the MS2 spectra at the MRM-trace maximum. Choose a peptide validation human score and press save. The peak height of the transitions at that time will be saved. If no MS2 spectrum was acquired at the peak maximum you may manually type the correct retention time and press save. | + | 4. example data set |
| - | + | The example_mzXML.tgz contains three LC-MS FT runs of wild type yeast and three LC-MS FT runs of gene deletion strain yeast. | |
| - | ====Exporting transitions==== | + | |
| - | + | ||
| - | Select the project and experiment you want to export transitions. Make your selections. You will get an overview of proteins, peptides and the transitions. If you are not fully happy with the list and want to change your choice, press the yellow arrow. You may then create a new report with modified parameters. | + | |
| - | + | ||
| - | ===TIQAM-Peptide Atlas Client=== | + | |
| - | The Peptide Atlas Client connects to the [http://www.peptideatlas.org/ PeptideAtlas] to retrieve information about PTPs (Proteotypic Peptides). | + | |
| - | + | ||
| - | ===Reference=== | + | |
| - | Detailed information on the work flow has been published: | + | |
| - | + | ||
| - | [http://www.mcponline.org/cgi/content/abstract/M800032-MCP200v1 Lange V, Malmstrom JA, Didion J, King NL, Johansson BP, Schafer J, Rameseder J, Wong C-H, Deutsch EW, Brusniak M-Y, Buhlmann P, Bjorck L, Domon B, Aebersold R (2008) Targeted quantitative analysis of Streptococcus pyogenes virulence factors by multiple reaction monitoring. Mol Cell Proteomics: M800032-MCP800200] | + | |
| - | + | ||
| - | ==Installation== | + | |
| - | Current TIQAM software supports Window, Mac and Linux OS and requires Java 1.6 java run time environment and MySQL community edition 5.0 database installed prior to running TIQAM software. TIQAM software can be downloaded from the TIQAM [http://tools.proteomecenter.org/TIQAM/TIQAM.html download site]. | + | |
| - | + | ||
| - | ===Step 1 - Install MySQL=== | + | |
| - | Prior to starting TIQAM install MySQL | + | |
| - | #Download MySQL server from [http://dev.mysql.com/downloads/mysql/5.0.html mysql site]. | + | |
| - | #Installation instructions are available on the mysql.com site. For example, the installation instructions for Windows are available at [http://dev.mysql.com/doc/refman/5.0/en/windows-installation.html mysql documentation site.] | + | |
| - | #'''Important: Select transactional database (InnoDB)!''' | + | |
| - | #Choose a drive where you have sufficient diskspace for the database (several gb). | + | |
| - | #Start MySQL prior to running any of TIQAM software. The automatic start-up of your installed database server can be found at [http://dev.mysql.com/doc/refman/5.0/en/windows-server-first-start.html mysql document site.] | + | |
| - | + | ||
| - | ===Step 2 - Create Databases for TIQAM software=== | + | |
| - | ====Option 1==== | + | |
| - | Please carefully type the following statments exactly as written | + | |
| - | C:\where you installed mysql\bin \-user=root mysql \-p | + | |
| - | mysql> create database trans; | + | |
| - | mysql> create database mrm; | + | |
| - | mysql> use mysql; | + | |
| - | mysql> grant all privileges on trans.\* to 'm'@'localhost' identified by 'mmm' with grant option; | + | |
| - | mysql> grant all privileges on mrm.\* to 'm'@'localhost' identified by 'mmm' with grant option; | + | |
| - | mysql> FLUSH PRIVILEGES; | + | |
| - | mysql> quit; | + | |
| - | ====Option 2==== | + | |
| - | Download the file [http://groups.google.com/group/tiqam/web/initialize.sql initialize] and put it in the folder where you installed mySQL. | + | |
| - | + | ||
| - | Go to the command line, navigate to the folder where you installed mySQL. | + | |
| - | + | ||
| - | Type: mysql -u root -p < initialize.sql | + | |
| - | + | ||
| - | ===Step 3 - Initialize the TIQAM Digestor database=== | + | |
| - | Start TIQAM Digestor. You will see an error message saying "Cannot execute query." Click OK. In the left-hand navigation panel, click the right-arrow to expand the navigator. Double-click "Database Helper." Now click "Test Drop DB then Create DB." | + | |
| - | + | ||
| - | ===Step 4 - Download TIQAM and unzip=== | + | |
| - | Unzip the [http://tools.proteomecenter.org/TIQAM/TIQAM.html downloaded files]. Make sure, you keep the folder structure when extracting! You will have 3 folders with TIQAM-digester, TIQAM-peptide-atlas and TIQAM-viewer (with version number suffixes). In each folder subdirectory, you will find .exe files to launch the TIQAM module. | + | |
| - | + | ||
| - | ==Current Limitations== | + | |
| - | TIQAM was developed to '''validate and optimize''' transitions for MRM measurements. | + | |
| - | * It is not a quantification software. In particular it does not feature the quantitative comparison of several sample runs. Currently all transitions measured for a particular peptide and imported into the same project will be displayed together. | + | |
| - | * It does not include a database search engine. Searches have to be performed before importing data into TIQAM-viewer. However, you may view your data without search scores if you did not search them. | + | |
| - | + | ||
| - | ===Limitations=== | + | |
| - | * TIQAM was only tested with data acquired on a Q-TRAP 4000, converted with [[Software:mzWiff|mzWIFF]]. If you intend to use TIQAM for data from other instruments please [http://groups.google.com/group/tiqam let us know] and we will work with you to get the formats compatible. | + | |
| - | + | ||
| - | * Memory management: Currently, memory management is not ideal. You might run into crashes if you try to import too many runs into one project. Workaround: Create a new project for every 5-10 runs. This limitation will be addressed in TIQAM 2.0 | + | |
| - | + | ||
| - | ===Feedback and Questions=== | + | |
| - | Please join the [http://groups.google.com/group/tiqam TIQAM discussion group] for feature requests, questions and bug reports. | + | |
| ==Contact Information== | ==Contact Information== | ||
Revision as of 17:54, 6 August 2008
Contents |
Introduction
Corra is a single, user-friendly, informatic framework, that is simple to use and fully customizable, for the enabling of LC-MS-based quantitative proteomic workflows of any size, able to guide the user seamlessly from MS data generation, through data processing, visualization, and statistical analysis steps, to the identification of differentially abundant or expressed candidate features for prioritized targeted identification by subsequent MS/MS.
A goal of Corra was to enable the integration of multiple and disparate LC-MS data analysis tools, and integrate them, seamlessly, with common statistical packages to allow for better comparison between differently-processed datasets, via the addition of statistical measures of confidence and error rates. The integration of tools was achieve via AMPL (Annotated Putative peptide Markup Language) and the various parsers, and in the current build of Corra, we have implemented SpecArray and SuperHirn. Current distributed Corra contains APML adapted open source of SpecArray and SuperHirn.
APML
APML is currently used as a standard interface for Corra framework and software developed by Mi-Youn Brusniak at ISB Ruedi Aebersold Lab.
[View APML Schema] [View APML Schema Documentation]
Installation Instruction
Current distributed Corra v1.5 can be downloaded to your linux system by the following steps.
1. download Corra-v1.5.tgz
2. tar -xzvf Corra-v1.5.tgz
3. The detailed installation and setup information can be found in Corra/doc of the untarred file or by downloading [Corra Installation Guide.doc]
4. example data set The example_mzXML.tgz contains three LC-MS FT runs of wild type yeast and three LC-MS FT runs of gene deletion strain yeast.
Contact Information
Mi-Youn Brusniak, Ph.D. 1441 North 34th St. Seattle, WA 98103 USA mbrusniak@systemsbiology.org
