eyalhadad/mlbackend

sise.micro-rna-m-rna-targets-interactions.backend

sise.micro-rna-m-rna-targets-interactions.backend
✅ Visit our website here.

Created By:
Uri Zlotkin
Shahar Kramer

Sections

• Web site for miRNA-mRNA interactions data
• Getting Started
• Endpoints
• Data Access Layer
• Configuration

Web_site_for_miRNA-mRNA_interactions_data

The backend is developed with Python Flask, and the data is stored and handled with Postgres SQL.

Getting_Started

In order to set up the development environment and run the project, we create a file called requirements.txt. All the packages we use in the project are in that file.
flask==2.2.2
flask_cors==3.0.10
pandas==1.5.2
numpy==1.23.5
flask-sqlalchemy
psycopg2
flask_executor
flask-compress
waitress

Endpoints

132.73.84.177/api - welcome message for the api

132.73.84.177/api/organisms/details - return list of organisms in json.

132.73.84.177/api/organisms/datasets/int:data_set_id/interactions - return list of interactions of dataset:int:data_set_id in json

132.73.84.177/api/interactions - return list of interactions base on search filters: (datasetsIds, seedFamilies, miRnaIds, miRnaSeqs, sites, geneIds, regions)

Data_Access_Layer

PostgreSQL is used as a database, and flask_sqlalchemy is used to communicate with it. Each table is translated into a Python object by mapping it to a python object. Our objects: (Organism, DataSet, Interaction, mirnaIdOption, SeedFamilyOption, GeneIdOption, RegionOption, SiteOption).

Configuration

There is a config.ini file and a Configurator class. Database connection information is stored in the config.ini file, which is not uploaded to git. The Configurator class reads the necessary data from the config.in file.