Hi,
First stab at answering your question is:
To start, you'd need to find a way to map the tiling array probes onto the same version of the genome you aligned your ChIP-Seq data to.
From there, you'd need to then convert probe intensity values to a "wig" or "bedgraph" file.
I would pick "bedgraph," because you can sort and index it using sort, bgzip, and tabix - IGB can load display tabix'd files very efficiently. Also, you'll be able to see the full extent of the probe. (Bar ... I think? ... assumes probes are one base in length.)
The format for your bedgraph file could look something like this:
tab-delimited:
column 1: chromosome name
column 2: start position of probe (interbase coordinates)
column 3: end position of probe (probe length + start position)
column 4: probe intensity value
Some history: IGB was originally developed at Affymetrix to handle tiling array data because our previous generation genome browser - Neomorphic Annotation Station - couldn't handle such large data sets. For us, tiling array data was the original "big data" in molecular biology. We developed the "bar" format to enable partial data loading into IGB. If I recall correctly, bar stands for "binary array" - it's a binary format that stores data in one file per chromosome, with some meta-data at the top of the file.
I wrote some python code many years ago that could make "bar" files. I will try to find it as it might be useful. But these days, I would try to work with bedgraph files because they are more standard.
More to come...
-Ann