Giter VIP home page Giter VIP logo

cravat-variant-analysis-'s Introduction

CRAVAT Variant Analysis

Project Overview

This repository contains the documentation and results of the CRAVAT variant analysis performed as part of Homework 11 in HIDS-7003. The analysis focused on exploring genomic variants using two VCF files through the CRAVAT platform.

Data Description

Two VCF files were analyzed:

  1. Single-sample VCF file from WES processing: ERR2348724.sorted.indexed.flagged.vcf
  2. Multi-sample VCF file from a Thymus Cancer project: 20180912-ThymusSomatic_tumorOnly_wo019_nonres.vcf

Analysis Workflow

  • VCF files were downloaded from the CRAVAT homework folder and uploaded to CRAVAT for analysis.
  • Each file was processed separately, with settings adjusted to default and reference genome set to hg19.
  • Post-analysis, results were explored online using the CRAVAT interface, and relevant outputs were downloaded.

Repository Contents

Execution Summary

  • Aizhan_Uteubayeva-CRAVAT-HW-summary.docx: This document includes a detailed summary of the execution of the pipeline, including screenshots and links to CRAVAT output.

Output Files from Single-sample VCF Analysis (ERR2348724)

  • Gene_Level_Analysis.Result.tsv: Summary of gene-level variant impacts from the CRAVAT analysis.
  • Input_Errors.Result.tsv: Details of any input errors detected by CRAVAT during the analysis.
  • Variant_Additional_Details.Result.tsv: Provides additional details on variants analyzed in the study.
  • Variant_Non-coding.Result.tsv: Analysis results specifically for non-coding regions.
  • Variant.Result.tsv: Main results file listing variants and their annotations.

Output Files from Multi-sample VCF Analysis (20180912-ThymusSomatic)

  • Similar files as listed for the single-sample analysis, detailing the CRAVAT results for the multi-sample analysis. Each file serves the same purpose, providing comprehensive insights into genomic variants for multiple samples from patients who responded to immuno-therapy.

How to Use This Repository

  • Review the Aizhan_Uteubayeva-CRAVAT-HW-summary.docx for a comprehensive understanding of the pipeline execution and output analysis.
  • Detailed results and variant analyses can be further explored by accessing the output files listed above.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

  • Aizhan Uteubayeva

cravat-variant-analysis-'s People

Contributors

aijeanka avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.