== Report builder feedback 18 nov 2011 ==
Yang:
* Use but does not help you to 'get to know' the data in the first place.
* Wanted:
 * Quantative data: boxplot of measurements for each sample/individual, to inspect and detect/remove outliers
 -> Use e.g. boxplot(log(metaboliteexpression, exp(2.71828)))
 -> Or boxplot(log(t(metaboliteexpression), exp(2.71828))) for the (transposed) 'other view'
 * Qualitative data: heatmap like view of e.g. genotypes
 -> Use e.g. image(matrix(as.numeric(as.factor(genotypes)),nrow(genotypes),ncol(genotypes)))
 -> Or heatmap(matrix(as.numeric(as.factor(genotypes)),nrow(genotypes),ncol(genotypes)),scale="none",Colv=NA, Rowv=NA)
Basten:
* Enter gene -> get all eQTL information! Simple as can be.
* Cis/trans information
* Find genes in a region and get their QTLS (sounds like gBrowse)
* Ofcourse everything in document 'concept map'

== Panacea xQTL review Wed 9 nov 2011 ==
* Data curation and annotation of the Panacea Database (joint effort)
* Host project analyses:
 * Phase 1: Just add the R scripts as files for basic provenance
 * Phase 2: Being able to rerun important scripts such as sample mislabeling and QTL x Env
 * Phase 3: Make it easy to add and run any R script that was used
* Data matrix:
 * Download or visualize with CytoScape
 * Need new view with more organization/hierarchy: group by experiment or annotation
 * Need to couple this hierarchy with the ability to quickly run scripts for visualization or statistics on a piece of the data
* Need 'supersearch' which produces reports on concepts (ie. everything related to a marker or individual)
 * This should include a special 'QTL finder' tool to quickly create reports on findings using a matrix and/or traits as inputs
* Focus on pathways:
 * Want to query pathway information for an organism from 1..N sources (GO, WormBase, KEGG.. ?)
 * Want to couple existing gene annotations to these pathways, semi-automatically (?)
 * Want to use this information to run analysis/visualizations on these batches of genes
 * Want to create pathway plots (biology!) with the gathered information (e.g. QTL profiles)
 * Want to create CytoScape graphs of e.g. correlation of the genes
 

== EURATRANS xQTL review Wed 9 nov 2011 ==
* Integrate with genome browser (gBrowse, formats WGL and GFF)
* Need to save any filter as a URL
* Need to clarify how a tool like gBrowse can specify a 'range' in filter URL syntax and link it
* Also need the 'range' to work on matrices with locus data (e.g. markers) via URL
* Need to add scripts as visualizers of data: e.g. let them appear in a list of possible plot types in matrix
* Search box bugs: no '_name' searches possible
* Use real column names instead of labels eventually, this is still very confusing
* Need for advanced matrix views:
 * On similar rows & columns, create 'subheaders' with multivalue display
 * Alternatively, matrix merge operation to concatenate them
 * Want to have a report on a value that appears in multiple matrices
 * And/or reports with plots for e.g. a marker or probe with all related information from all sources

== xQTL LL user workshop Fri 28 Oct 2011 general comments ==
* Need more download formats: STATA, SAS, CSV (not TSV)
* SNP data should somehow include metadata such as: imputed (yes/no), genome build, reliability, dosage, etc.
* There should be a way to merge (part of a / a filtered) phenotype set with a genotype set, and retrieve the result
* The application can be slow, need more speed
* There are too many tabs, GUI is unclear
* Need an hourglass (or something) to indicate the application is busy (blackout screen with progress bar when busy, GeneNetwork style?)
* Making selections is too complex
* Column paging is confusing
* Filtering works 'half' (Joris please explain)
* Data viewer should be able to create selections using your own file
* Id's should be unrecognizable
* Search filter should work on all measurements by default
* Filters are lost when a user pages, this is annoying
* Like other waiting times, applying a filter should cause the app to refresh with a 'wait please' status
* Merging pheno- and geno sets is a special case of using a shopping cart (batches) to save selections for re-use elsewhere, this should be implemented. So you make a selection of participants based on phenotypic criteria, and then you view SNPs of interest for only those selected, and vice versa.