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Learn Bioinformatics in 100 hours

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In the Fall semester of 2017 this course will track the BMMB:852 Applied Bioinformatics course offered at Penn State. Use the web version of the book for the most up to date information.

Materials will appear twice a week on Monday and Wednesday in the order that they are presented in class. The lectures consist of slides, links to various chapters, links to supporting materials and homework. There are no videos/soundtracks at this time though we might add these in the future.

The course starts on Aug 21st and runs until December 9, 2017. Please consult the synopsis for details on what is covered and how to learn the materials.

NEWS: Oct 10, 2017 A quiz system is now enabled. We will be adding a quiz to each lecture. The quizzes are designed to be challenging! Keep at them and watch your confidence grow!

Successful completion of all quizzes will earn you a bioinformatics certification to attest your level of achievement.

Lecture Quizzes
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Lecture 1: How is Bioinformatics practiced?

Course structure. How is bioinformatics practiced. Computer setup.

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Lecture 2: How do I use the command line?

Unix command line use. Find help on commands. Flag system.

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Lecture 3: How are Unix commands used for data analysis?

Examples of processing biological data from the command line.

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Lecture 4: What do the words mean?

How to make sense of terminology. Sequence and gene ontologies.

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Lecture 5: How to interpret a list of genes?

Functional enrichment, functional over-representation.

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Lecture 6: How to access published data from the command line

Reproducibility. Data repositories. Entrez Direct

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Lecture 7: Data formats. Genbank, FASTA and FASTQ

Accessing and manipulating sequencing data.

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Lecture 8: Quality control of high throughput sequencing data

Quality visualization. Improving data quality. Adapter removal.

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Lecture 9: Advanced quality control of FASTQ data

Sequence duplication, read merging, MultiQC, error correction.

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Lecture 10: Sequencing concepts, methods, coverage formula

Single end and paired-end sequencing, computing sequencing depth

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Lecture 11: Scripting and Automation

Automating tasks. Make analyses reproducible.

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Lecture 12: Accessing the Short Read Archive

Short read archive, fastq-dump, repeating commands

Lecture 13: Sequence Alignments

Alignment scoring, global, local alignments

Lecture 14: BLAST, Basic Local Alignment Search Tool

Using blast online and at the command line

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Lecture 15: BLAST databases

Make blast databases. BLAST search tasks.

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Lecture 16: Short Read Aligners

What is short read alignment. How to run bwa and bowtie2.

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Lecture 17: Sequence Alignment Maps (SAM)

SAM/BAM the workhorse of high throughput sequencing

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Lecture 18: Paired end reads in BAM files.

Create and filter BAM files.

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Lecture 20: Visualizing Large Genomic Variation

Large insertions, deletions, copy number variations

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Lecture 21: Filtering SAM files

Select alignments by their attributes

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Lecture 22: Processing SAM/BAM files

Picard tools. Unaligned BAM files.

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Lecture 23: Short Genomic Variations

First steps in detecting short variations

Lecture 24: Let's call some SNPs

SNP calling with bcftools and freebayes

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Lecture 25: The Variant Call Format

Understand the VCF format.

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Lecture 26: Making sense of variants

variant effect prediction, interval datatypes, BED, GFF

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Lecture 27

Lecture 27

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Lecture 28

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Lecture 29

Lecture 29

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Lecture 30

Lecture 30

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Course Synopsis: How does this course work?

What is the structure and purpose of this course.

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