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| #acl CscGroup:read,write,revert | ## page was renamed from CancerStemCellProject/VeroniqueVoisin/PathwayAnalysisService/SOP #acl All:read |
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| == Service SOP == ---- ----- === Consulting Meeting === * ~+Goal+~: to help plan an experiment before it is run. We can recommend case studies that user can learn from. * Genomics technologies are very sensitive: they can detect small amounts of variation. A good experimental design takes into account all possible variables (or factors) and ensure better quality data. You are encouraged to come to talk with us (and/or with the biostatistician Shaheena Bashir)about your planned experiment. Will your design enable to answer your questions? Are there variables you did not think of? Do you have enough replicates? What is your control? * These consulting meetings can also generate a follow up plan, where additional meetings can be scheduled during and after an experiment is run to answer questions and check that the experimental design is good: it is up to you to decide if you need it or not. We are always available to speak with you about your data. ---- |
= Service Standard Operating Procedure (SOP) = <<BR>> == Consulting Meeting == * ~+'''Goal'''+~: to help plan an experiment before it is run. We can recommend case studies that user can learn from. * Genomics technologies are very sensitive: they can detect small amounts of variation. A good experimental design considers all possible variables (or factors) and ensures better quality data. You are encouraged to come to talk with us (and/or with the biostatistician Shaheena Bashir, sbashir@uhnres.utoronto.ca) about your planned experiment. Will the experimental design enable you to test your hypothesis and answer your questions? Are there variables you did not think of? Do you have enough replicates? Do you use an appropriate control for your experiment? * These consulting meetings can also generate a follow-up plan, where additional meetings can be scheduled during and after an experiment is run to answer questions: it is up to you to decide if you need the analysis or not. We are always available to discuss your data. <<BR>> |
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| === Initial Meeting (when a dataset is ready to be analyzed) === * ~+Goal+~: We will discuss your project, the biological question(s) you want to answer, the experimental design, the enrichment analysis, statistical data data input formats, and create a project name. * Once correct input data are received and the quality controls are good, we will issue an initial pathway analysis plan (see below). * ~+time estimate+~: 30min to 1 hour * Initial Meeting and Data Input Requirement: please have these data and information ready: * During the first initial meeting, we are going to discuss : * the biological question(s) you want to answer * the experimental design * the platform you used to generate your data (e.g Affymetrix or Illumina, the chip model,...) * the quality controls and the input data format |
== Analysis Planning Meeting == * ~+'''Goal'''+~: To learn about your project and discuss pathway and network analysis options and their requirements. * Once correctly formatted input data are received and the quality is checked against analysis requirements, we will issue an '''initial pathway analysis plan''' (see below). * ~+'''Time estimate'''+~: 60 minutes * ~+'''Initial Meeting and Data Input Requirement'''+~: please have these data and information ready: * '''During the initial meeting, we will discuss:''' * the biological question(s) you want to answer * the experimental design * the platform you used to generate your data (e.g Affymetrix or Illumina, the chip model,...) * analysis already completed * the quality controls and the required input data format |
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| * Your data should have been statistically analyzed (you should provide us with one file containing this information): * The data should have been normalized. * Some control quality plots should have been done: * Box-plot of intensity (before and after normalization) * Principal Component Analysis (PCA) * Hierarchical clustering of samples (performed on all the data) * Please provide a powerpoint presentation with a figure for each analysis |
* '''Your data should have been statistically analyzed and you need to provide us with 1 file (.txt) for pathway and network analysis''': [[CSCPathwayAnalysisService/Data| MORE DETAILS FOLLOWING THIS LINK ]] <<BR>> == Analysis == |
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| * An appropriate statistical test testing your hypothesis (your biological question) should have been performed * for example : moderated t-test, paired t-test, ANOVA,... * If you need support for your statistical analyses, please contact Shaheena Bashir (Ph.D. in Statistics) at sbashir@uhnres.utoronto.ca. Located at MaRS TMDT 15th floor, she offers free consultation for statistical analyses for Cancer Stem Cell program. She will analyze your data and output the results in the right format for subsequent enrichment analyses. You are encouraged to contact Shaheena as soon as you plan your experiment: these genomics technologies are very sensitive to noise and a well designed experiment is very important for best results. It will ensure better quality data. * You need to provide us with 1 file (.txt) for the enrichment analysis : * Name your file as follow: yourname_date.txt (example: veronique_March21.txt) * Please rename your file with a new date if you resubmit your file * Please follow the format description: * the first column corresponds to Entrez ID. * An Entrez ID is a numerical value that uniquely identifies genes. * For example the Entrez ID for Myc (myelocytomatosis oncogene [ Mus musculus ]) is 17869: http://www.ncbi.nlm.nih.gov/gene/17869. * the second column corresponds to a unique array identifier (ProbesetID for Affymetrix and sampleID for Illumina). * the third column corresponds to gene name (official gene symbol). * the fourth column corresponds to the gene description (full gene name). * the fifth and sixth columns contain the statistical values : * the statistical values are the ones that enable you to tell if a gene is significantly differentially expressed or not, it could be for example the t value and the p-value if you applied a t-test. * the whole table is ordered by the '''absolute value of the fifth column''' ( t value in this example) in a decreasing order. * the additional columns contain the transformed (log2 for example) and normalized (RMA or quantile normalization for example) values for each sample (= each chip if gene expression data). * Example: ||Entrez ID||Probeset ID||Gene Name||Gene Description||t value||p-value||sample1||sample2||sample3|| ||17218||10572906||Mcm5|| minichromosome maintenance deficient 5, cell division cycle||44.0079||0.001||9.13084||9.7166||8.76638|| ||27279||10448307||Tnfrsf12a||tumor necrosis factor receptor superfamily, member 12a||-41.815||0.001||8.58977||9.29698||8.80844|| ||13215||10582809||Tk1||thymidine kinase 1||39.9456||0.001||8.94519||9.56513||8.38612|| ||12937||10384145||H2afv||H2A histone family, member V||-33.6475||0.001||10.574||10.7741||10.5401|| ||207277||10526848||A430033K04Rik||A430033K04Rik||33.3352||0.001||8.25088||8.4121||8.2783|| |
* ~+ '''Pathway Analysis Plan''' +~ * ~+Goal:+~ A pathway analysis plan is a document that states the different analyses that will be performed and a completion time estimate. We write the pathway analysis plan once correctly formatted input data are received. It needs to be signed off by researchers leading the project and the lead P.I. * A meeting can be scheduled if requested to explain the Pathway Analysis Plan. |
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| * Note: Each row of the table should correspond to a different gene. If several rows correspond to the same gene (same Entrez ID), there are 2 possibilities to remove the redundancy: * for a same gene, only the row corresponding to the best t-value is conserved * for a same gene, the average of the different normalized values is calculated before the t-test is applied * the choice has to be made before the statistical data are performed. We can discuss it during the initial meeting. ----- === Analysis === {{attachment:flowchart2b.png|flowchart2b|align="right"}} * ~+ '''Pathway Analysis Plan''' +~ * ~+Goal:+~ A pathway analysis plan is a document that state the different analyses that are going to be performed and a time estimate. We write the pathway analysis plan once correct input data are received. It needs to be sign off by researchers and P.I. We send it to you as a Google document. * A meeting can be scheduled if requested to explain the Pathway Analysis Plan. * ~+ '''Run analysis, interpret the map and produce a report'''+~ * ~+Status :+~ the analysis status will be visible on the website page; We will communicate with you very regularly during the process to ensure effective interpretation of results. * ~+'''Analysis Report'''+~: A report including a global figure of the map and a detailed focus analysis of several pathways as examples will be written at the end of the analysis. |
* ~+ '''Run analysis, interpret the results and produce a report'''+~ * ~+'''Status :'''+~ the analysis status is visible on the website page (see at the end of the page); We will communicate with you very regularly during the process to ensure effective interpretation of results. * ~+'''Analysis Report'''+~: A report will include an overview of the results and a detailed focus analysis of interesting pathways will be written at the end of the analysis. |
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| If you had the resource, which experiments would you conduct based on the results of this analysis? * Time estimate: 30min to 1hour |
If you had the resources, which experiments would you conduct based on the results of this analysis? * Time estimate: 30 to 60 minutes |
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| * We need to perform additional bioinformatics analyses : customized analyses * You are satisfied with the map and we let you play with the data and perform some validation experiments before a follow-up meeting |
* We need to perform additional bioinformatics analyses: custom analyses * You are satisfied with the results and you explore the data and results using available software tools that we provide and then perform some validation experiments before an optional follow-up meeting |
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| * ~+Goal:+~ You can book a training session if you wish to do your enrichment analysis on your own of if you want to explore the map once we have performed the analysis for you. We will explain you how to install Cytoscape and the different plugins (Enrichment Map, WordCloud and GeneMANIA) on your computer and how to play with your data. * ~+time estimate+~: 30min to 1 hour * [[CancerStemCellProject/VeroniqueVoisin/PathwayAnalysisService/Tutorials | link to tutorial page ]] * ~+ '''Customized analyses''' +~ * Meeting with Researcher to explain the results of the customized analyses |
* ~+Goal:+~ You can schedule a training session if you wish to do your own pathway and network analysis or explore results we have generated. We will explain how to install the required software and how to use it to explore your data. * ~+Time estimate+~: 30 to 60 minutes * [[CSCPathwayAnalysisService/Tutorials | Link to Tutorial Page ]] * ~+ '''Custom analyses''' +~ * Meeting with Researcher to explain the results of the custom analyses |
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| * Goal: you may have performed validation experiments or generated new research hypotheses based on your genomics study. You may need to go back and focus on a different aspect of your data. We can help you to re-analyse your data, provide with additional bioinformatics tools or help planned a next genomics experiment. | * Goal: you may have performed validation experiments or generated new research hypotheses based on your genomics study. You may need to go back and focus on a different aspect of your data. We can help you to re-analyse your data, provide additional bioinformatics tools or help plan a subsequent genomics experiment. |
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| ---- == List of projects == |
* ~+ '''Analysis Flowchart:''' +~ {{attachment:flowchart2b.png}} <<BR>> == List of Projects == |
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| This section summarizes the current projects, and the analysis status for each project is very regularly updated. You can see progress in the analysis of your project and see the different priorities assigned to each project. ||project ||lab|| data received || data checked; OK for analysis|| GSEA|| First Map|| Analysis report|| additional analysis|| status||priority|| ||EZ01 ||Zacksenhaus|| Feb 22 || Feb 23|| Feb 24|| Feb 25|| -|| -|| writing the report||1|| ||JD02-map1 ||Dick|| - || -|| -|| -|| -|| -|| -||?|| ||JD02-map2 ||Dick|| - || -|| -|| -|| -|| -|| -||?|| ||JD03 ||Dick|| - || -|| -|| -|| -|| -|| -||?|| ||JD04 ||Dick|| - || -|| -|| -|| -|| -|| -||?|| ||JD05 ||Guidos|| - || -|| -|| -|| -|| -|| -||?|| ---- ----- |
This section summarizes the current projects, and the analysis status for each project. You can see progress in the analysis of your project and see the different priorities # signed to each project. |
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| == ? Link to results and reports ? == | ||project ||lab|| data received || data checked; OK for analysis||pathway analysis plan|| First Map|| Analysis report|| additional analysis|| status||priority|| ||EZ01 ||Zacksenhaus|| (./) || (./) || (./) || (./) || (./) || (./) ||done||NA|| ||JD02 ||Dick|| (./) || (./) || (./) || (./) || -|| -|| -||1|| ||CG02 ||Guidos|| (./) || (./) || (./) || (./) || -|| -|| -||1|| ||BA01 ||Allman|| (./) || (./) || - || -||-|| - || -||?|| ||JD05 ||Dick|| (./) || -|| -|| -||-|| - || -||?|| ||JD04 ||Dick||not complete|| -|| -|| -||-|| - || -||?|| ||JD01 ||Dick|| (./) || -|| -|| -||-|| -|| -||?|| ||LA01 ||Ailles|| (./) || -|| -|| -||-|| -|| -||?|| ||SS01 ||Singh||- || -|| -|| -||-|| -|| -||?|| ~-last updated: June 1, 2011-~ <<BR>> *[[CSCPathwayAnalysisService/Data | LINK TO DATA INPUT REQUIREMENTS ]] *[[CSCPathwayAnalysisService/Tutorials | LINK TO TUTORIALS ]] *[[CSCPathwayAnalysisService | BACK TO HOME PAGE ]] |
Service Standard Operating Procedure (SOP)
Consulting Meeting
Goal: to help plan an experiment before it is run. We can recommend case studies that user can learn from.
Genomics technologies are very sensitive: they can detect small amounts of variation. A good experimental design considers all possible variables (or factors) and ensures better quality data. You are encouraged to come to talk with us (and/or with the biostatistician Shaheena Bashir, sbashir@uhnres.utoronto.ca) about your planned experiment. Will the experimental design enable you to test your hypothesis and answer your questions? Are there variables you did not think of? Do you have enough replicates? Do you use an appropriate control for your experiment?
- These consulting meetings can also generate a follow-up plan, where additional meetings can be scheduled during and after an experiment is run to answer questions: it is up to you to decide if you need the analysis or not. We are always available to discuss your data.
Analysis Planning Meeting
Goal: To learn about your project and discuss pathway and network analysis options and their requirements.
Once correctly formatted input data are received and the quality is checked against analysis requirements, we will issue an initial pathway analysis plan (see below).
Time estimate: 60 minutes
Initial Meeting and Data Input Requirement: please have these data and information ready:
During the initial meeting, we will discuss:
- the biological question(s) you want to answer
- the experimental design
- the platform you used to generate your data (e.g Affymetrix or Illumina, the chip model,...)
- analysis already completed
- the quality controls and the required input data format
Your data should have been statistically analyzed and you need to provide us with 1 file (.txt) for pathway and network analysis: MORE DETAILS FOLLOWING THIS LINK
Analysis
Pathway Analysis Plan
Goal: A pathway analysis plan is a document that states the different analyses that will be performed and a completion time estimate. We write the pathway analysis plan once correctly formatted input data are received. It needs to be signed off by researchers leading the project and the lead P.I.
- A meeting can be scheduled if requested to explain the Pathway Analysis Plan.
Run analysis, interpret the results and produce a report
Status : the analysis status is visible on the website page (see at the end of the page); We will communicate with you very regularly during the process to ensure effective interpretation of results.
Analysis Report: A report will include an overview of the results and a detailed focus analysis of interesting pathways will be written at the end of the analysis.
Result Meeting
- Goal: discuss the analysis and report.
- Examples of questions we can discuss: Do the results meet your expectations?
- Is there anything unexpected in the results? If you had the resources, which experiments would you conduct based on the results of this analysis?
- Examples of questions we can discuss: Do the results meet your expectations?
- Time estimate: 30 to 60 minutes
- Two options are available after this meeting:
- We need to perform additional bioinformatics analyses: custom analyses
- You are satisfied with the results and you explore the data and results using available software tools that we provide and then perform some validation experiments before an optional follow-up meeting
- Goal: discuss the analysis and report.
Training session
Goal: You can schedule a training session if you wish to do your own pathway and network analysis or explore results we have generated. We will explain how to install the required software and how to use it to explore your data.
Time estimate: 30 to 60 minutes
Custom analyses
- Meeting with Researcher to explain the results of the custom analyses
Follow-up
- Goal: you may have performed validation experiments or generated new research hypotheses based on your genomics study. You may need to go back and focus on a different aspect of your data. We can help you to re-analyse your data, provide additional bioinformatics tools or help plan a subsequent genomics experiment.
Analysis Flowchart:
List of Projects
- This section summarizes the current projects, and the analysis status for each project. You can see progress in the analysis of your project and see the different priorities # signed to each project.
project |
lab |
data received |
data checked; OK for analysis |
pathway analysis plan |
First Map |
Analysis report |
additional analysis |
status |
priority |
EZ01 |
Zacksenhaus |
|
|
|
|
|
|
done |
NA |
JD02 |
Dick |
|
|
|
|
- |
- |
- |
1 |
CG02 |
Guidos |
|
|
|
|
- |
- |
- |
1 |
BA01 |
Allman |
|
|
- |
- |
- |
- |
- |
? |
JD05 |
Dick |
|
- |
- |
- |
- |
- |
- |
? |
JD04 |
Dick |
not complete |
- |
- |
- |
- |
- |
- |
? |
JD01 |
Dick |
|
- |
- |
- |
- |
- |
- |
? |
LA01 |
Ailles |
|
- |
- |
- |
- |
- |
- |
? |
SS01 |
Singh |
- |
- |
- |
- |
- |
- |
- |
? |
last updated: June 1, 2011