Nirav Malani Rick Bushman Lab Department of Microbiology University of Pennsylvania.

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LOST Nirav Malani Rick Bushman Lab Department of Microbiology University of Pennsylvania in the genome… find where you at, fool!
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Transcript of Nirav Malani Rick Bushman Lab Department of Microbiology University of Pennsylvania.

LOST

Nirav Malani

Rick Bushman LabDepartment of MicrobiologyUniversity of Pennsylvania

in the genome…

find where you at, fool!

Basic Idea:“Know Your Surroundings”

Where is the concept coming from? Retrovirus integration pattern

What are you trying to deduce? Sense of genomic environment and/or

preferences

What kind of data are you analyzing? Genomic coordinates from some species

hiAnnotator R package to annotate genomic ranges

Fundamentals Take two RangedData objects (query &

subject)

Call a specific annotation type function

Define customization parameters…optional.

That’s it!

Depends On: IRanges, doBy

Prepare the Objects> head(sites)

> makeRangedData(sites,soloStart=TRUE)

Prepare the Objects> head(genes)

> makeRangedData(genes)

Usage: makeRangedData(x, positionsOnly=FALSE, soloStart=FALSE, chromCol=NULL, strandCol=NULL, startCol=NULL, stopCol=NULL)

Annotation TypesIN/OUT

Usage: getSitesInFeature(sites.rl, genes.rl, “InGene”)

Annotation TypesIN/OUT

Usage: getSitesInFeature(sites.rl, genes.rl, “InGene”, asBool=T)

Annotation TypesNEAREST

Usage: getNearestFeature(sites.rl, genes.rl, “NearestGene”)

Annotation TypesFEATURE COUNTS

Usage: getFeatureCounts( sites.rl, genes.rl, “NumOfGene”,chromSizes = seqlengths(Hsapiens))

Preliminary Analysis

Preliminary Analysis

In Works Parallel backend support for all the functions

Function for GC% annotation

That’s It!