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29 materials found

Authors: Malachi Griffith  or Michelle Brazas 


Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

High-Throughput Biology 2017 Module 11-Isoform Discovery and Alternative Expression

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 10-Reference Free Alignment

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

GOBLET Talk at INCoB 2014

Supporting Trainers to Improve Bioinformatics Education Globally
Speaker: Dr. Michelle Brazas
A needs assessment isn’t necessary to realize that across the globe, there is a high demand for quality bioinformatics training in all domains of life science. Delivering on this demand however is not...

Keywords: Goblet

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Benjamin Good

Online Gaming in Bioinformatics: The ‘Fun’ Model to Online Bioinformatics Education
Benjamin Good, Senior Staff Scientist, Department of Molecular and Experimental Medicine, The Scripps Research Institute.
Dr. Good’s research focuses on games with a purpose in crowdsourcing biological knowledge....

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Gaming, Online learning

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - David Searls

Self-directed Learning: Does online learning in bioinformatics work?
Proposed Speaker: (CONFIRMED) David Searls, Adjunct Associate Professor, Perleman School of Medicine, University of Pennsylvania.
Dr. Searls is an independent consultant in bioinformatics and former Senior VP of Bioinformatics...

Keywords: Bioinformatics, Mooc, Online learning

Workshop on Education in Bioinformatics 2014 - ISMB 2014 - Michael Love

MOOCs in Bioinformatics: The Online Course Model to Online Bioinformatics Education
Dr. Michael Love, edX Faculty and post-doctoral fellow in Dept. Biostatistics, Dana Farber Cancer Institute and Harvard School of Public Health.
Dr. Love teaches the Data Analysis for Genomics course offered...

Keywords: Bioinformatics, Mooc

GOBLET Poster at ISMB 2014

This is a PDF of the GOBLET poster presentation at ISMB 2014 in Boston.

Keywords: Goblet survey life scientists

RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression

Explore use of Cufflinks in reference annotation based transcript (RABT) assembly mode and ‘de novo’ assembly mode. Both modes require a reference genome sequence.
 

Scientific topics: RNA

Keywords: Alternative expression, Transcript isoforms

RNA-seq Analysis 2014 Module 3 - Expression and Differential Expression

Get FPKM style expression estimates using Cufflinks

        Perform differential expression analysis with Cuffdiff

        Perform summary analysis with CummeRbund

        Downstream interpretation of expression analysis (multiple testing, clustering, heatmaps, classification, pathway analysis, etc.)

 

Keywords: Differential expression, Transript expression

RNA-seq Analysis 2014 Module 2 - Alignment and Visualization

Use of Bowtie/TopHat

        ‘Regular mode’ vs. ‘Fusion mode’

        Introduction to the BAM format

        Basic manipulation of BAMs with samtools, etc.

        Visualization of RNA-seq alignments - IGV

        BAM read counting and determination of variant allele expression status
 

 

Keywords: Data visualization, Rna seq alignment

RNA-seq Analysis 2014 Module 1 - Introduction to RNA-seq Analysis

Basic introduction to biology of RNA-seq

        Experimental design considerations

        Commonly asked questions

        Data visualization using IGV

 

Keywords: Experimental design rna seq, Igv, Introduction rna seq analysis

Pathway and Network Analysis 2014 Module 6 - Gene Function Prediction

Functional association networks and gene function prediction

    Homology based prediction

    Guilt-by-association: GeneMANIA

Keywords: Functional association networks, Gene function prediction, Genemania

Pathway and Network Analysis 2014 Module 5 - Network Visualization

Introduction to network visualization

    Visualizing omics data on a network or pathway

    Active modules in Cytoscape

Keywords: Cytoscape, Network visualization

Pathway and Network Analysis 2014 Module 4 - Pathway and Network Analysis

Introduction to pathway and network analysis

    Basic network concepts

    Types of pathway and network information

    Pathway Databases: Reactome, KEGG, etc.

    Pathway analysis of large scale genomics data sets, including cancer genomics

Keywords: Biological networks, Kegg, Pathway analysis, Reactome

Pathway and Network Analysis 2014 Module 3 - Gene Regulation Analysis

Overview of transcription

    Data sources for regulatory data - Chromatin IP, DNA hypersensitivity, other chip data

    Basics of processing data

    Pattern discovery

Keywords: Pattern discovery, Transcriptional regulation

Pathway and Network Analysis 2014 Module 2 - Finding Over-represented Pathways

Over-representation analysis (ORA)

    Statistics for detecting over-representation e.g. hypergeometric test, GSEA

    Multiple testing correction: Bonferroni, Benjamini-Hochberg FDR

    Filtering Gene Ontology e.g. using evidence codes

Keywords: Gsea, Over representation analysis

Pathway and Network Analysis 2014 Module 1 - Introduction to Gene Lists

Gene list analysis overview: Workflow of concepts and tools from gene list to pathway analysis

    Where do gene lists come from?

    Working with gene function information

Keywords: Gene lists, Gene ontology

Flow Cytometry 2013 Module 4 - 1D Static gating

How to create a constant gate for the whole data set for one channel by first creating a sample representative of the whole data set

    How to apply a static gate to all samples and count the proportions of cells lying on either side of the gate

    Visualizing the proportions using a density...

Keywords: 1d static gating, Flow cytometry data

Flow Cytometry 2013 Module 6 - Clustering and Additional FCM Tools

Lecture on FlowCAP (Flow Cytometry: Critical Assessment of Population Identification Methods) project

    K-means explained

    flowMeans: smart k-means for FCM data

    flowClust3.0, SPADE, flowBin, flowFP, SamSPECTRAL clustering

    Biomarker discovery: flowType and RchyOptimyx, advanced tools used...

Keywords: Biomarker discovery, Flow cytometry data, Flowcap

Flow Cytometry 2013 Module 5 - 1D Dynamic gating

Using quantiles to set a gate based on a negative control

    Using median and standard deviation to set a gate based on a negative control

    Exploring rangeGate: an automated way to set a 1D gate for each sample individually

    Recording proportions of cells in subpopulations of interest by...

Keywords: 1d dynamic gating, Flow cytometry data

Flow Cytometry 2013 Module 3 - Preprocessing and Quality Assurance of FCM Data

Preprocessing

            Removing margin events

            Data transformation: log vs. biexponential

            Data normalization


    Quality Assurance

            Overview of quality assurance concepts: total raw/viable cell count, margin event count, outlier detection based on density of common...

Keywords: Flow cytometry data, Preprocessing, Quality assurance

Flow Cytometry 2013 Module 2 - Exploring FCM data in R

Loading a single or groups of FCS files into R

    flowFrame and flowSet objects and their attributes

    Exploring sample annotation and keywords stored within the FCS file format, searching for specic samples (such as controls) using grep, highlighting the importance of correct sample annotation...

Keywords: Fcs files, Plotting data, R

Flow Cytometry 2013 Module 1 - Introduction to Flow Cytometry Analysis in R

Lecture on how tools to be demonstrated have been used in research and clinical applications

    Description of data and underlying biological problem

    Summary of a typical work flow to be covered in the workshop: transformation, margin event removal, quality assurance, gating, recording and...

Keywords: Introduction flow cytometry, Review r