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Search Settings

Data Set
Strain :
Score Type :
Aggregate :
Version :
Columns
  Display Require
Std Dev -
DEM
Paraclique
CDSM
Mode

Instructions

Please use the search settings above to choose your search mode and the data set you wish to explore.

Data Set

Strain: allows users to choose the dataset to explore

For Score type, Aggreate and Version, default settings are '2Z+8', 'Averages' and '3.2'.

Columns

Check Display box under ‘Std Dev’ if you wish to view standard deviation for each probe.

DEM, Paraclique and CDSM, each refers to the bioinformatic analysis on B6 and D2 transcriptome data.

To view these analyses, check display box and check require box if you wish to view only the data entries that have associated informatics analysis.

Mode

Symbol/probe search mode allows search by probe id, gene name or symbol. Multiple genes can be searched by entering genes with standard delimiters such as spaces, commas and semi-colons.

The advanced search mode allows fine grained column-based searching (further instructions can be found once the application has been launched). If you intend to perform searches based on the higher level analysis, please ensure that you check the appropriate columns (Display columns for DEM, Paraclique and/or CDSM) prior to launching the advanced search.

The DEM Explorer is an innovative graphical interface that allows you to select time windows for when genes are turned on and off as well as specify numeric thresholds for gene expression to further refine your results. This mode is only available for datasets that have associated DEM analysis.

The checkbox ‘Show search results on a new page’ allows users to choose to view iterative search results within the same window or display each result in a new window.

Once you have performed your search and selected one or more probes, the probes can be graphed or saved with  'Graph' or 'Create Gene Set' button. Note that because the columns and probes in the results vary as you update your search criteria and data set, it is not always possible to preserve your probe selections and search criteria as you proceed. These settings will be preserved whenever possible and you will be informed whenever the system needs to update them.

Applying Filters to the Dataset

There are two types of filter that can be applied, either together, or independently.

You build an advanced filter by creating a set of AND/OR conditions acording to the following rules:

  1. Column names represent fields in the selected database
  2. Each cell represents a condition on it's column name
  3. Column Names may appear multiple times allowing for complex conditions
  4. Conditions on the same row represent an 'AND' clause.
    Example: (Condition1=true AND Condition2=true AND Condition3=true)
  5. Conditions on multiple rows represent an 'OR' clause.
    Example: (Row1=true) OR (Row2=true) OR (Row3=true)

Using the LIKE operator

When using the LIKE operator, the following wildcard characters may be used.

Wildcard character Description Example
% Any string of zero or more characters. Symbol LIKE '%pax%' finds all probes with the letters 'pax' anywhere in the symbol
_ (underscore) Any single character. Symbol LIKE 'pax_' finds all probes whose Symbol is four-letters in length and begin with pax (pax4, pax6, and so on, but not pax10)
[ ] Any single character within the specified range ([a-f]) or set ([abcdef]). Symbol LIKE 'pax[1-5]' finds probes whose Symbol starts with pax and ends with any single character between 1 and 5 (pax2, pax3, pax5, but not pax6).
[^ ] Any single character not within the specified range ([^a-f]) or set ([^abcdef]). Symbol LIKE 'pa[^x]%' finds all probes whose Symbol starts with pa, can be of any length, but whose 3rd letter is not x.
Add new search column:
Event
E8
E9
E10
E11
E12
E13
E14
E15
E16
E17
E18
E19
P0
P1
P2
P3
P4
P5
P6
P7
P8
P9
P10
P11
P12
P13
P14
P15
P16
P17
P18
P19
P20
P21
Presence of Rhombic Lip
 
Birth - Large nuclear neurons (Glu)
 
Birth - Medium nuclear neurons (GABA)
 
Birth - Purkinje neurons
 
Birth - Granule cell precursors
 
Migration of GC precursors to form EGL
 
Birth - Small nuclear neurons (GABA)
 
Birth - Bergmann glia
 
Birth - Unipolar brush cells
 
Birth - Granule cells
 
EGL expansion
 
Birth - Lugaro cells
 
GC dendritogenesis
 
Birth - Golgi cells
 
Mossy fibre invasion
 
Appearance of primary fissure
 
Appearance of secondary fissure
 
GC radial migration
 
Presence of distinct inner EGL
 
Presence of internal granule layer
 
Mossy fibre-GC synaptogenesis
 
Birth - Basket cells
 
Birth - Stellate cells
 
GC-PC synaptogenesis
 
Regression of EGL
 
Time Range Boundaries
Expression Thresholds
'On' Expression 'Off' Expression
General
Name :
Description :
Data Set
Strain :
Score Type :
Aggregate :
Version :
Search Parameters ( Mode)
Gene Set Operations
Gene Set :
Operation :
Probes
Import
Multiple values can be separated by
commas, spaces, semi-colons, etc.
Project funded by funded by NIH Grant HD052472. Please view our funding & data sharing policy
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