Could anyone recommend any "good" publicly available (e.g., from the SRA/GEO) ChIP-seq datasets with broad histone marks? In general, I'd like to use these data for testing out novel (and existing) ChIP-seq methodologies for benchmarking purposes.
I'm curious to see if the community considers any specific existing epigenetic histone modification ChIP-seq datasets to be particularly "clean" (e.g., high SNR ratio of peaks relative to noise in gene deserts) that would be particularly suitable as training data, for example, for development and testing of new algorithms. Note I am not interested in transcription-factor ChIP-seq data, only histone modification ChIP-seq data (it does not matter what the specific histone mark under study is, as long as the data is suitable for the purposes outlined above).
Relevant post: Chip-Seq Datasets For Cancer Genome Samples?