> For the complete documentation index, see [llms.txt](https://shivom.gitbook.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://shivom.gitbook.io/documentation/master.md).

# Documentation and Guides

## Overview

Shivom's analytical platform provides researchers with a versatile and secure scientific research environment that enables users to store, wrangle/analyse and interpret high throughput multi-omics datasets.

Ultimately, the platform focuses on providing the user:  

a. **Security,** allowing sensitive to be uploaded to the platform (e.g. patient clinical records + VCF), and allowing only those you give permission to access the data;\
b. **Storage,** cloud storage, accessible from anywhere at anytime;\
c. **Analytics,** allow users to analyse and interpret their desired datasets via a curated set of genomic pipelines.

Through the implementation of an intuitive, innovative and totally user-friendly web interface, we speed up data acquisition and data analysis processes. Furthermore, we facilitate multi-omics based discoveries in line with **precision medicine** by making available **high-throughput data**. 

## Problems & Solutions

The issues delineating genomic analysis are usually: 

* **accessing**, the need to use the specific data-type and to be able to use it as soon as possible;
* **scouting**, research activity is often associated with time consumption in relation to data acquisition;
* **storing**, data storage, quality control and statistical analysis are all more complex for multi-omics datasets, given that there is no solid platform to store them.

Shivom's analytical platform solves all of them by:

* extremely *intuitive* user interface;
* no coding proficiency needed;
* possibility *to store and secure* your data. 

In conclusion, this platform will not only allow you to **wrangle and analyse data quickly** but also **store them simply and safely**.