---
title: Related HPC and big data analysis events
linkTitle: Events Related
type: docs
weight: 3
aliases:
    - /events_related.html
    - /events_related
---

## UCR Library
* Software Carpentry Workshop - Working with Data
   * The Unix shell [7-24-20](https://www.eventbrite.com/e/the-unix-shell-tickets-110191172764)
   * Version Control with Git [7-31-20](https://www.eventbrite.com/e/version-control-with-git-tickets-110198913918)
* Software Carpentry Workshop - (Python, git, and bash) [3-25-19, 3-26-19](https://library.ucr.edu/about/events/software-carpentry-workshop-2)

## Graduate Quantitative Methods Center - [GradQuant](https://gradquant.ucr.edu/workshops-spring-2019/) 

* Drop-in Hours [Tuesday - Thursday](https://gradquant.ucr.edu/gq-calendar/)
* Experimental Design [4-4-19](https://www.google.com/calendar/event?eid=NDRmaHZ2dGg3bWtpZzc4ZDdrYmQya2hrcW0gNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Hypothesis Testing and Statistical Power [4-9-19](https://www.google.com/calendar/event?eid=MXVxN2ZlOGdtMmoydWpuY2dtM2llajJyNnMgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Data Management in Python [4-11-19](https://www.google.com/calendar/event?eid=MHVsOWdwcWN2azAyZmQ2bHZucGJicGNjZzcgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* JAVA for Beginners [4-15-19](https://www.google.com/calendar/event?eid=MW5sczJxamY3ZnVwMWI1YmcyZTNoZGNwZ2QgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Introduction to General Linear Models [4-17-19](https://www.google.com/calendar/event?eid=MDhtZzBudXB0c3A2MDhtcHZvb2hnaGQ0MmsgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Computational Bayesian Inference [4-24-19](https://www.google.com/calendar/event?eid=MThrdWR2djdhdm5kMGU0czBzN3RlMzllNWogNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Stata Workshop with Dr. Chuck Huber [4-25-19](https://www.google.com/calendar/event?eid=M2k3ajd1a2pscjByZGZxdHNnNDQ5MW1jMHEgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Web Scraping with R [4-30-19](https://www.google.com/calendar/event?eid=NzcwbG5iaHMxdW4yajZnb2J1NDJ2ZHU5aGsgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Introduction to SAS [5-2-19](https://www.google.com/calendar/event?eid=Mjc0YWRpaDliM2FxcXY3NGE0dTJmbmRsNGcgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Data Visualization in Python [5-7-19](https://www.google.com/calendar/event?eid=Mm5hNDJrdGsyZWlmdjQ1ODdiaWpwMWxjcGcgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Machine Learning in R [5-8-19](https://www.google.com/calendar/event?eid=MWNvOXVwY3J1b201dXMxN2gyMTA1YzZvZWMgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* A Primer on Neural Networks with Python [5-13-19](https://www.google.com/calendar/event?eid=MHU0czlwdGFvYTA4NTliaXY4dmk0bjI2aWIgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Writing Articles in LaTeX [5-28-19](https://www.google.com/calendar/event?eid=MDRiNTk3bGhwa2ZuaXBmdjFyMDJ1Z3FzaDUgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)
* Machine Learning in MATLAB [6-03-19](https://www.google.com/calendar/event?eid=MnNoZmJzY2xoaXMyYjhlaTE3aTFxNGZoaHYgNmRpN243YjdkZDF1ZHVqZWkxb2FtajVtZWNAZw&ctz=America/Los_Angeles)


## Big data analysis programming in genome biology

* [R/Bioconductor workshops](http://girke.bioinformatics.ucr.edu/tutorials/) including annual 5-day events
* Graduate courses using HPC
    * Data Analysis in Genome Biology: [GEN242](http://girke.bioinformatics.ucr.edu/GEN242/mydoc/home.html)
    * Computational Analysis of High Throughput Biological Data: [GEN220](http://hyphaltip.github.io/GEN220_2015/) 

## Others

* 10th consecutive workshop on analyzing sequencing data, ANGUS 2019! [July 1 - July 12, 2019](https://urldefense.proofpoint.com/v2/url?u=http-3A__ivory.idyll.org_dibsi_ANGUS.html&d=DwMFaQ&c=7ypwAowFJ8v-mw8AB-SdSueVQgSDL4HiiSaLK01W8HA&r=BRiKNvDIpcjDzQtuD9o7xA&m=apazdjJLUAfEZcBrwKdSnA8TUiYgiNlo4amo9o--Sm4&s=SrRrQxw086wzYgiHKEEWuC0xwy86BKkGDyEk65rvrBU&e=)
    * This intensive two week summer course introduces attendees with a strong biology background to the practice of analyzing big shotgun sequencing data sets (Illumina, PacBio, and Nanopore). We introduce students to computational thinking and large-scale data analysis on UNIX platforms, and cover genome and transcriptome analysis. We also cover computational topics including R scripting, software installation with bioconda, cloud computing, and building efficient and automated workflows. We use hands-on tutorials, live coding, group notes, and in-class exercises to support an effective learning experience.

Please send us URLs of events we should list here.