Syllabus

January 15: Class Overview and resources.

Course Introduction, overview and inquiry based objectives: Introduction lecture Video

Lecture slides: Introduction lecture slides

January 18: MLK day

January 20: See Resources tab in wiki for things to download for next lecture. Class discussion of student current projects, learning goals and objectives.

January 22: Welcome to FIJI lecture by Jon and Matt [ lecture ] . ()

January 25: Encode history and access

Part I: Historical overview of ENCODE Video

Encode Lecture Video

Lecture Slides

Part II: Exploring Encode Portal Video

Part III: Let's download data from ENCODE portal!

01_endode.Rmd Video

-*- 01_encode.Rmd

January 27: #!bin/bashing data

Video run through of 02_bash_in_data

-*- 02_bashing_data.Rmd

January 29: Git, got it good!

What is git bash and git bash background

[Video of git lecture].()

[lecture slides].()

[Video run through of 03_get_git.Rmd].()

-*- 03_get_git.Rmd

February 1: Zhiping ENCODE guest lecture

February 3: Fiji-viz R Studio

-*- 04_R-eading_in_files.Rmd

February 5: Creating a design file -- bashing R.

-*- 05_design_file.Rmd

February 8: Flowing forward with Nextflow [ lecture ]

-install nextflow

February 10: Nextflow set up, slurm and run!

-*- 06_nextflow.Rmd

February 12: Looking under the hood of Nextflow [ lecture ]

• debugging nextflow run

February 15: Visualization of Data

• Igv, UCSC file formats.

February 17: Wellness Day

February 19: Student presentations of data

February 22: Explore larger pre-cooked data set

February 24: Iranges and Granges

-*- 07_Granges.Rmd

February 26: From DNA protein structure to meta-analyses [ Lecture ]

-brainstorm analyses students are interested in performing.

March 1: ExploRing Data in R part I (Defining Consensus Peaks)

-*- 08_consensus_peaks.Rmd

March 3: Plotting in R part I.

-*- 09_plotting.Rmd

ExploRing Data in R part II -*- 10_intersecting_features_peak_characteristics.Rmd

March 5: Intuitive statistical principles [ Lecture ]

March 8: Applying statistics to our data part I (global clustering, promter_feature_profile_plots)

-*- 11_statistical_significance_of_feature_overlaps.Rmd -read Class, Mele and Kelley papers

March 12: Applying statistics to our data set part II (lncRNA -vs- mRNA promoters).

-*- 12_permuations_fisher_exact.Rmd

March 15: Class Paper discussion and outline.

-Class, Mele and Kelley et al paper discussion.

March 17: Plotting in R part II.

-*- 13_plotting.Rmd

March 19: Binding versus Expression

-*- 14_binding_vs_expression.Rmd

March 22: ExploRing Repeat Features

-*- 15_repeats.Rmd

March 24: wellness day 2 (for this class)

March 26: Defining reservoirs

-*- 16_reservoirs.Rmd

March 29: Reservoir binding properties

-*- 17_resevoir_properties.Rmd

March 31: Reservoir comparison to k562

-*- 18_resevoir_compare.Rmd

April 2: Reservoir Nascent RNA

-*- 19_resevoir_nascent.Rmd

April 5: Reservoir Chromatin

-*- 20_resevoir_chromatin.Rmd

April 7: Class regroup data presentations -- further analyses --

April 9: Visualization [lecture ]

• outline figures for paper.

April 12: Analysis and figures I

-*- .RMD FREESTYLE

April 14: Analysis and figures II

-*- .RMD FREESTYLE

April 16: Analysis and figures III

-*- .RMD FREESTYLE

April 19: Paper writing [ lecture ]

-start writing paper with current results

April 21: Put paper together I

April 23: Put paper together II

April 26: Put paper together III

April 28: Regroup clean up git and finalize paper plans!

END