Page History

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• SEQAnwers forum - many NGS sequencing questions answered here
  • A funny SEQAnwers post about biologists starting to analyze NGS data: http://seqanswers.com/forums/showthread.php?t=4589
• UCSC Genome Browser - visualize and download NGS data (see more below)
• Galaxy website for online sequencing data analysis
• Broad Institute Integrated Genomcs Viewer (IGV)
  
  • especially good for visualizing bam BAM file details
• Michigan State University ANGUS resources
  
  • A list of their tutorials: http://ged.msu.edu/angus/
  • 2012 Next-Gen Sequence Analysis Workshop a similar tutorial to our course
  • Introduction to Sequence analysis in the Amazon EC2 cloud
    
    • where you can "rent" Linux machines (useful if you don't have access to TACC)

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• Overviews
  
  • Wikipedia overview of NGS technologies
  • Broad Center GA Boot Camp
  • Paper comparing NGS technologies (Liu et al., 2012)

• Technology intros

  • Illumina (Solexa) – most common "short" (< 300 bp) read sequencing
    

    • Short Illumina video

    • Longer Illumina video
    • 2016 Sequencing Technologies talk
  • Newer "single molecule" sequencing
    • Oxford Nanopore
    • PacBio SMRT system
      • PCR-free protocol
  • "Single cell" sequencing
    • 10x Genomics platform
  • Older technologies (less common now)
    

    • Life Technologies SOLiD (short reads in "colorspace")

    • Roche/454 – long (mult-Kb) reads often used in assemblies

Fastq analysis/manipulation/QC

• Wikipedia FASTQ format page
• Illumina library construction on GSAF user wiki - useful for contaminant detection or adapter removal
• FastQC from Babraham Bioinformatics – http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  
  • produces nice quality report for fastq files
• MultiQC – http://multiqc.info/
  
  • A great tool for consolidating QC multiple QC reports into one HTML page
  • Anna's tutorial on using MultiQC – https://wikis.utexas.edu/display/bioiteam/Using+MultiQC
• cutadapt – https://cutadapt.readthedocs.io/en/stable/
  • An excellent command line tool for adapter sequence removal
  • Good support for trimming paired-end datasets
  • Available at TACC at /work/projects/BioITeam/ls5/opt/cutadapt-1.10/cutadapt
    • also needs this $PYTHONPATH modification:
      export PYTHONPATH="/work/projects/BioITeam/ls5/lib/python2.7/site-packages:$PYTHONPATH"
  • Script that handles the details of paired-end read trimming
    
    • /work/projects/BioITeam/common/script/trim_adapters.sh
• trimmomatic – http://www.usadellab.org/cms/?page=trimmomatic
  • Supports trimming paired-end datasets. I haven't used it but it seems to be popular.
• fastx toolkit – http://hannonlab.cshl.edu/fastx_toolkit/
  • Command line tools for fastq analysis and manipulation
  • Good for hard clipping. Available at TACC.
  • Documentation at: http://hannonlab.cshl.edu/fastx_toolkit/commandline.html

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• SAM (Sequence Alignment Map) format specification (SAM1.pdf)
  
  • Translate SAM file flags web calculator: http://broadinstitute.github.io/picard/explain-flags.html
    
    • type in a decimal number to see which flags are set
• samtools – by Heng Li
  • sam/bam conversion, flag filtering, sorting, indexing, duplicate filtering
  • 0.1.xx versions: http://samtools.sourceforge.net/
  • 1.x+ versions: http://www.htslib.org/
• Picard toolkit – http://broadinstitute.github.io/picard/
  • sam/bam utilities that are read-group aware
  • especially MarkDuplicates and MarkDuplicatesWithMateCigar for flagging duplicate alignments
    • http://broadinstitute.github.io/picard/command-line-overview.html#MarkDuplicates
    • http://broadinstitute.github.io/picard/command-line-overview.html#MarkDuplicatesWithMateCigar
• SAMStat - http://samstat.sourceforge.net/
  
  • produces detailed graphical statistics for sam/bam files.
• bedtools – http://bedtools.readthedocs.org/en/latest/
  
  • All sub-commands: http://bedtools.readthedocs.io/en/latest/content/bedtools-suite.html
  • Swiss army knife for all manner of common bed, bam, vcf, gff file manipulation such as:
    • intersecting bam or bed with annotation files
      • bedtools intersect (http://bedtools.readthedocs.io/en/latest/content/tools/intersect.html)
        
    • merging overlapping regions
      • bedtools merge (http://bedtools.readthedocs.io/en/latest/content/tools/merge.html)
        
    • generation of per-base genome-wide signal in bedGraph format
      • bedtools coverage(http://bedtools.readthedocs.io/en/latest/content/tools/coverage.html)
      • bedtools multicov(http://bedtools.readthedocs.io/en/latest/content/tools/multicov.html)
    • extracting fasta corresponding to regions
      • bedtools getfasta (http://bedtools.readthedocs.io/en/latest/content/tools/getfasta.html)
    • format conversion
      • bedtools bamtobed (http://bedtools.readthedocs.io/en/latest/content/tools/bamtobed.html)
      • bedtools bamtofastq (http://bedtools.readthedocs.io/en/latest/content/tools/bamtofastq.html)
        
      • bedtools bedtobam (http://bedtools.readthedocs.io/en/latest/content/tools/bedtobam.html)
        
  • Available in the TACC module system

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• Tools
  • Broad institute GATK - complex but powerful; used by TCGA, 1000 Genomes
    • documentation page: https://software.broadinstitute.org/gatk/documentation/
• File formats
  • VCF (Variant Call Format) v4.0 - initially developed by 1000 Genomes project
  • MAF (Mutation Annotation Format) – developed by The Cancer Genome Atlas (TCGA)
• The International Genome Sample Resource – follow-on to the 1000 Genomes project 
  
  • catalog of human genetic variants
• Dan Deatherage's Genome Variant Analysis CCBB summer school course

Genome Annotation

• DAVID – https://david.ncifcrf.gov/
  DAVID –
  • functional annotation from user-supplied gene lists
• GREAT – http://bejerano.stanford.edu/great/public/html/
  
  • analysis tool that takes bed files as input and outputs enriched genes, GO-terms, motifs, etc.
    for
    • human, mouse, zebrafish
  • MEME-suite – http://meme-suite.org/
    
    • a motif identification and discovery tool.  Works with most species.
    • takes fasta files as input, so
      • filter your bam/bed files to get the regions of interest
      ,
      • then convert
      over
      • to fasta using bedtools bamtofastq
      in bedtools
      • .