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Introduction

Graphs contain Genome graphs associate numerical data associated with base pair positions along the  chromosome sequence axis, such as sets of scores or chromosome copy numbers at specific positions.  IGB allows you to visualize such graph data and compare it with RefSeq and other annotations.

Examples of suitable data include: 

...

. You can open and view genome graph data files in IGB and manipulate them using functions in the Graph tab.

Using the Graph tab settings, you can display graphs as line graphs or heat graphs, change their scale, convert them to floating (draggable) graphs, and perform mathematical or other types types of transformations. You can also compute averages or sums of multiple graphs.

You can create graphs from annotation tracks, such as an RNA-Seq coverage graphs showing the number of read alignments starting at each position.

Examples of genome graphs include: 

  • Probe intensity values from genome tiling arrays.
  • Density of ESTs across Percentage methylation across chromosomes
  • GC content along chromosomes
  • Measures of conservation between two genomes

There are two basic types of genomes graphs:

  • Position graphs associate scores with single genomic positions.
  • Interval graphs associate scores with ranges of genomic positions.

Here is a very simple example of several interval graphs:

  Image Removed

IGB will recognize whether the graph is a position or interval graph and will display it accordingly.

The child pages explain how to use IGB to examine your graph data:

  • Compare graph and annotation data in the same region.
  • Adjust graphs to highlight features
  • Fine-tune graph scaling to improve visibility
  • Use thresholding to transform graph data into annotation-like format, in order to examine it further using other tools in IGB.

Loading graph files

Graph files are loaded in the same way as annotation data files.  To open graph files in any of the supported formats:

IGB can display graphs in several file formats, developed at Affymetrix or elsewhere. All file names must include the file name extension, such as ".sgr".  Compressed files must include the graph type extension AND the compression extension, such as "mygraph.sgr.zip".  For the list of all file formats IGB supports, see File Formats. Graph files may be in the following formats:

.bar

Generated from tiling arrays by TAS (Tiling Analysis Software.)

.chp

Binary files generated by Affymetrix software.  These files contain data on scores for probe sets.  There are multiple variations on this file format.  IGB can read some, but not all of these formats.

.egr

Files containing data for scored intervals.
Files generated from Affymetrix GeneChip Operating Software (GCOS) or ExACT (Exon Array Computational Tool) software.

.sgr

Sequence graph files that show base coordinate scores. These files are generated by CNAT (the Affymetrix Chromosome Copy Number Analysis Tool software).
The format of .sgr text files is: chromosome identification, then two columns of numbers separated by a single space or a tab. The first number is the base position; the second number is the score.

.gr

A simple text format containing two columns of numbers separated by a single space or tab.  The first number is the base position; the second number is the score.
Because this format does not include chromosome names, we recommend you use the ".sgr" format or ".wig" format instead. Please see important note below.

.useq

A binary format used for both graphs and annotations. Supported in IGB 6.2. For more information about it, see: http://useq.sourceforge.net.

.wig

Wiggle format.  A text format developed for use in the UCSC genome browser.  All three sub-formats of wiggle graph are supported by IGB: "fixedStep", "variableStep" and "BED".
See http://genome.ucsc.edu/goldenPath/help/wiggle.html
Files in wiggle format can use UCSC track lines to specify colors and other properties. 

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  • positions