Code and database for the expression query, mining, analysis, and visualization tools
It has several components:
This web tool was developed using the Perl framework Catalyst (http://www.catalystframework.org), so to run the application is necessary to install Perl, Catalyst and its dependencies.
Check this link in case of doubts installing Catalyst (http://www.catalystframework.org/#install).
To install Catalyst using cpanm, just execute:
cpanm Catalyst::Devel
Also, if you are installing it in a new machine you maybe need to install cpanminus, gcc and make, and then some Perl dependencies like Catalyst, Lucy and Mason:
sudo aptitude install cpanminus
sudo aptitude install make
sudo aptitude install gcc
sudo aptitude install r-base
sudo aptitude install r-base-dev
sudo aptitude install postgresql
sudo aptitude install postgresql-server-dev-11
cpanm -L ~/local-lib/ Catalyst::Devel
cpanm -L ~/local-lib/ Catalyst::Runtime
cpanm -L ~/local-lib/ Mason
cpanm -L ~/local-lib/ Statistics::R
cpanm -L ~/local-lib/ Catalyst::ScriptRunner
cpanm -L ~/local-lib/ Catalyst::Controller::REST
cpanm -L ~/local-lib/ Catalyst::View::HTML::Mason
cpanm -L ~/local-lib/ Lucy::Simple
cpanm -L ~/local-lib/ Array::Utils
cpanm -L ~/local-lib/ DBIx::Class
cpanm -L ~/local-lib/ Bio::Perl
cpanm -L ~/local-lib/ Bio::BLAST::Database
cpanm -L ~/local-lib/ DBD::Pg If you are having trouble installing cpanm, there may be an issue with your system's dependencies. Visit (https://library.linode.com/linux-tools/utilities/cpanm) for help with installing dependencies.
In case local-lib is not in the path, you have to add the following line in the .bashrc file (for a local-lib in your home)
export PERL5LIB=/home/username/local-lib/lib/perl5:$PERL5LIB
You might also need to add the next line to your .bashrc
export PERL5LIB=$PERL5LIB:/home/username/path_to_tea/Tea/
Do not forget to source .bashrc to be sure these changes take effect.
R v3 must be installed for the interactive heatmap. The R libraries 'd3heatmap', 'NOISeq' and 'htmlwidgets' should also be installed.
Go to the TEA repository at GitHub (https://github.com/solgenomics/Tea) and copy the link to clone this repository.
Go to your terminal, to the folder where you want to clone this repository and use the next command (using the link copied from the web):
git clone git@github.com:solgenomics/Tea.git
or
git clone https://github.com/solgenomics/Tea.git
You can run the local server to check Catalyst is running fine. If you are running it on a server, you should also check that the Apache or Nginx configuration is correct and the ports are open on the firewall.
Go to the folder Tea, created when cloned the repository and run the server to check if all the dependencies are installed.
cd Tea/
script/tea_server.pl -r -d --forkIf you got an error, you will probably will need to go back to step one and install some dependencies.
Once you have cloned the repository you will see a configuration file called tea.conf inside the directory Tea. You will need to edit this file to customize all the paths, so they work on your system.
dbhost localhost dbname my_db dbuser web_usr dbpass password
expression_indexes_path /home/user/index_files/expression correlation_indexes_path /home/user/index_files/correlation loci_and_description_index_path /home/user/index_files/description
web_usr is the user name with permissions to edit and read the database, if you want to use a different user name you will need to grant permissions to the new user or edit the file create_tea_schema.sql
In order to enable the 'DEG' tab, deg_tab 1 should be added as a line in the conf file.
Add the expression images to the folder Tea/root/static/images/expr_viewer/
You can customize the value of any of these variables.
Install PostgreSQL, create a database to store your project metadata and import the schema to the database:
On postgres terminal:
CREATE DATABASE my_db;On Linux terminal create the database schema importing the file create_tea_schema.sql from import_project folder:
psql –U postgres –d my_db –h localhost –a –f create_tea_schema.sqlUse TEA_project_template.txt and TEA_project_template_example.txt from import_project to create your project import file
# Please use one line per field and one file per project. Do not edit or remove any line starting with #
#organism
organism_species: Solanum lycopersicum
organism_variety: M82
organism_description: Tomato M82
# organism - end
#project
project_name: S. lycopersicum M82 Fruit Development
project_contact: Jocelyn Rose
project_description: Fruit development from anthsis to red ripe for whole fruit and for the cell types from the pericarp obtained by Laser Capture Microdissected (LCM)
expr_unit: RPM
index_dir_name: tomato_index
# project - end
# figure --- All info needed for a cluster of images (usually includes a stage and all its tissues). Copy this block as many times as you need (including as many tissue layer blocks as you need).
figure_name: 10DPA Total Pericarp
conditions: condition 1, condition 2
# write figure metadata
#stage layer
layer_name: 10DPA
layer_description: Ten days post anthesis
layer_type: stage
bg_color:
layer_image: slm82_fruit_10dpa_bg.png
image_width: 250
image_height: 500
cube_ordinal: 10
img_ordinal: 10
organ: fruit
# layer - end
#tissue layer
layer_name: Total_Pericarp
layer_description:
layer_type: tissue
bg_color:
layer_image: cassava_leaf.png
image_width: 250
image_height: 500
cube_ordinal: 100
img_ordinal: 100
organ: fruit
# layer - end
# figure - endThe figure_name will be displayed on the top of the expression figures. It is recommended to use the stage name followed by the conditions for that stage. For example: 10DPA drought.
The bg_color defines the background color for the stages and tissues labels on the cube.
For the layer_image from the stage layer is recommended to have an image with the stage title, transparent background, and same dimensions as the tissue figures.
The cube_ordinal from the stage layer defines the order of the stage columns on the cube (from left to right).
The img_ordinal from the stage layer defines the order of the figure for the Expression images.
The cube_ordinal from the tissue layer defines the order of the tissue rows on the cube (from top to bottom).
The stage and tissue names on the cube are defined by the field layer_name on the tissue layer block. WHITE SPACES ARE NOT ALLOWED IN THIS FIELD. Please, replace them by underscores (_).
Try to avoid special characters like commas on layer_name, organ and conditions.
Run the script to import your project:
perl TEA_import_project_metadata.pl -d my_db -H localhost -u postgres -t your_project_input_template.txt
Three Lucy indexes are needed. One for expression, another for correlation and the last one for sgn_loci_id and the gene descriptions.
To format the expression and correlation data you will need to run the scripts index_expression_file.pl and index_correlation_file.pl respectively.
The input format for the expression should be gene name, stage layer_name (like the stage-layer in the TEA project template), tissue (like the tissue-layer layer_name from the TEA project template). WHITE SPACES ARE NOT ALLOWED IN THESE FIELDS. Then, the expression value, the standard error and the replicates separated by commas:
Solyc00g005040 Anthesis Columella 1.36 0.27 0.86,1.8,1.41
Solyc00g005040 Anthesis Locular_Material 0.09 0.09 0,0,0.28
Solyc00g005040 Anthesis Total_Pericarp 1.72 0.20 1.86,1.32,1.97
Solyc00g005040 Anthesis Placenta 1.65 1.12 1.17,3.78,0
Solyc00g005040 Anthesis Seeds 3.14 1.04 3.22,1.3,4.89
Solyc00g005040 Anthesis Septum 1.21 0.58 2.06,0.09,1.48
Solyc00g005040 Light_Red Columella 7.49 0.54 6.47,7.76,8.89,6.85
Solyc00g005040 Light_Red Locular_Material 6.81 1.05 5.79,9.5,4.65,7.32
Solyc00g005040 Light_Red Total_Pericarp 5.46 0.28 6,4.87,5.85,5.11
Solyc00g005040 Light_Red Placenta 3.96 0.19 3.77,3.54,4.15,4.39
Solyc00g005040 Light_Red Seeds 2.48 0.49 1.96,2.37,3.9,1.7
Solyc00g005040 Light_Red Septum 4.18 0.13 3.96,4.47,4.33,3.98
Solyc00g005040 Red_Ripe Columella 5.69 0.90 6.75,3.71,7.59,4.71
Solyc00g005040 Red_Ripe Locular_Material 6.48 0.20 6.43,6.36,6.1,7.04
Solyc00g005040 Red_Ripe Total_Pericarp 6.03 0.35 6.46,6.76,5.2,5.72
Solyc00g005040 Red_Ripe Placenta 4.70 0.40 3.59,5.48,4.75,4.98
Solyc00g005040 Red_Ripe Seeds 3.06 0.34 2.17,3.11,3.1,3.85
Solyc00g005040 Red_Ripe Septum 5.87 0.75 4.57,4.98,6,7.94Correlation example:
Solyc00g005000 Solyc02g081180 0.97
Solyc00g005000 Solyc03g080070 0.97
Solyc00g005000 Solyc05g010180 0.97
Solyc00g005000 Solyc05g010190 0.97
Solyc00g005000 Solyc05g010200 0.97
Solyc00g005000 Solyc03g006240 0.95
Solyc00g005000 Solyc07g009520 0.95
Solyc00g005000 Solyc09g075970 0.95
Solyc00g005000 Solyc10g086490 0.95
Solyc00g005000 Solyc01g095610 0.94
Solyc00g005000 Solyc02g080960 0.94
Solyc00g005000 Solyc07g016050 0.94
Solyc00g005000 Solyc03g058330 0.93To format the gene description data you will need to run the scripts index_description_file.pl.
The loci ids and descriptions file is a tab delimited file including 3 columns; loci id (to link to SGN), gene name, and description:
110976 Solyc00g005000 Aspartic proteinase nepenthesin I (A9ZMF9_NEPAL)
8379 Solyc00g005020 Unknown Protein
8381 Solyc00g005040 Potassium channel (D0EM91_9ROSI)
8382 Solyc00g005050 Arabinogalactan protein (B6SST2_MAIZE)Do not forget to place the created Lucy indexes in the folders indicated in tea.conf, inside a folder named as the value for index_dir_name in the project information.
Example:
/home/user/index_files/expression/tomato_index/
/home/user/index_files/correlation/tomato_index/