title: Mapping genomic features of tiling microarray data by TileMapper.
abstract: The recent revolution of genomics techniques has allowed the detection of various sequence features and biological variations on whole-genome scale. However, these high-resolution data present significant challenges for experimental biologists to understand and analyze. The conventional way is to use genome browsers to locate and visualize regions of interest. But it lacks user-friendly data mining functionality. Here we present a protocol that allows rapid annotation of genomic coordinate data by using TileMapper. Interesting biological annotations from large-scale genomic data, such as transcriptome analysis, chromatin immunoprecipitation on chip, or methyl-DNA immunoprecipitation (MeDIP) studies generated from the tiling microarrays and other platforms, could be analyzed without requiring computational skills. The outputs are saved in tabulated format, which permit flexible and simple processing in spreadsheet software, or to be exported to other pipelines for subsequent analysis.
authors: Laboratory of Clinical and Developmental Genomics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
authors: Hoi-Hung
authors: HH
authors: Cheung
authors: Janek
authors: J
authors: Claus
authors: Sumeeta
authors: S
authors: Singh
authors: Chandan
authors: C
authors: Sastry
authors: Owen M
authors: OM
authors: Rennert
authors: Wai-Yee
authors: WY
authors: Chan
authors: Tin-Lap
authors: TL
authors: Lee
mesh_terms: D000818:Animals; D047369:Chromatin Immunoprecipitation / Q000295:instrumentation / Q000379:methods*; D002874:Chromosome Mapping / Q000295:instrumentation / Q000379:methods*; D030541:Databases, Genetic; D016678:Genome; D023281:Genomics / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000295:instrumentation / Q000379:methods*; D012984:Software