Intermediate RNA-Seq Analysis Using R

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RNA-seq is a powerful tool to interrogate cellular functions. In this intermediate workshop you’ll learn the skills you need to get the most out of your RNA-seq data through analysis in R. By the end of the workshop, you’ll know how to: Go from a matrix of raw gene expression counts to differentially expressed genes […]

Intermediate Cytoscape: Networks and Omics Data Visualization

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This course is a complement to “Introduction to Network Biology and Cytoscape.” Following a brief review of the key concepts of network analysis, you’ll embark on a deep dive into data visualization and advanced Cytoscape features. Work through three prepared use cases demonstrating various omics data types and strategies. You’re also encouraged to bring your […]

Whole Genome Sequence Analysis

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When you are working with whole genome sequencing data, finding the information you need can be a daunting challenge. This course offers both theoretical and hands-on training so you can learn the main tools used to do alignment, variant calling, annotation, and visualization. You’ll learn how to go from raw FASTQ reads to annotated variants […]

Bakar Institute-wide Lab Meeting

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This month's meeting will have two speakers. Please join us!   Title: "SPOKE: a biomedical knowledge graph enables precision medicine at scale" Speaker: Sergio Baranzini, PhD, Professor, UCSF Department of Neurology   Title: "Semantic interoperability for wearable data" Speaker: Simona Carini, MA, Programmer, Ida Sim Lab   Contact edna.rodas@ucsf.edu for Zoom details.

Introduction to Cytoscape and Network Biology for Biologists

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Join this course for an introduction to the basic concepts of biological network analysis and practical instruction on commonly used tools and databases, with a focus on Cytoscape to analyze and visualize biological networks. The course will comprise theoretical and practical sessions in which you will learn how to perform different biological network analyses and […]

Text Analysis Fundamentals in Python, Part 3

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In this workshop we will cover the most common CTA task: supervised classification. Using the Python library scikit-learn, we will implement Logistic Regression and Random Forest methods to perform sentiment analysis. Optional: introduction to word vector representations with Word2Vec. Prior knowledge: We will be using the NLTK Python package, so basic familiarity with Python is required […]

2020 Research Data Series: Images and Tools in the Imaging Commons

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Images and Tools in the Imaging Commons Presented by: Jason Crane and Pablo Damasceno Description: Learn about current processes for accessing UCSF's radiological images, and the tools and systems available for deep image analysis, along with the related clinical records. REGISTER HERE Important Notes A link to join online will be sent by email 1 hour prior […]