Giter Club home page Giter Club logo

imputationserver-ashg19's Introduction

Workshop ASHG 2019, Houston, Texas

Slides version 1

MIS_workshop_v1.pdf

ASHG Testserver

  1. Connect to our ASHG Testcluster on Amazon AWS

  2. Register a new username

Note: Your username will be active right after registration (no verification link will be sent).

  1. Download test data: Chr20 Phased or Chr20 Unphased

  2. Run a job using HapMap2

Update: Oct 10, 2019

  • For the interactive polls, we recommend to install the mobile Poll Everywhere app
  • No other additional software is needed
  • For the question/answer session, we invite participants to send questions to [email protected]
  • Recommend to check the website the day before the workshop for last minute updates

Date/time of workshop

Thursday, October 17, 7:15-8:45 am

Factsheet

Workshop facilitator(s)

Workshop description (from the program)

Genotype imputation is a key component of modern genetic studies. This interactive workshop is intended for anyone interested in learning how to use the Michigan Imputation Server (MIS; https://imputationserver.sph.umich.edu) to impute genotypes and how to use the imputed genotypes, with a special focus on up-coming reference panels, including the multi-ancestry panel from the TOPMed program. A brief overview of imputation and the server will be followed by demonstrations and exercises, including:

  1. quality control and preparation of genetic data for use on the MIS with a special focus on diverse ancestries and chromosome X
  2. tracking runs and use of the application program interface for larger jobs
  3. downloading data from the MIS and preparing data for genetic analysis
  4. performing a GWAS using imputed data and interpreting results, taking into account imputation quality

We encourage participants to ask specific questions about their own projects. Workshop materials, including slides and example data sets, will be made available before the workshop and will remain online at the MIS website. We expect that this workshop will enable participants to generate high-quality imputed data sets and to properly analyze them. Attendees are expected to follow materials on their personal laptops.

Intended Audience

Attendees interested in learning how to perform genotype imputation and use imputed genotypes in their research, especially trainees. Prior experience with the analysis of genome-wide association studies (GWAS) and the unix command line are recommended for the workshop.

Requirements

Device(s) that attendees should bring to the workshop (e.g., laptop, smartphone, etc.): Laptop

Recommended background reading

Will be listed on this website (https://imputationserver.sph.umich.edu/ashg19)

Other information:

Recommended to check this website (https://imputationserver.sph.umich.edu/ashg19) one week before the workshop for updates.

imputationserver-ashg19's People

Contributors

cfuchsberger avatar lukfor avatar seppinho avatar

Watchers

 avatar  avatar  avatar  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.