The ability of HDF5 to accommodate virtually every kind of data in a single file has been recognized by many researchers as providing the ideal container for sequencing data.
Sequences, images, SNP matrices, and every other type of data and metadata associated with an experiment can be stored in a single HDF file that can be passed from module to module in the data processing workflow, greatly reducing the headaches associated with data management.
Medical imagery instruments generate increasingly high resolution imagery at unprecedented rates. These images or parts of these images need to be searched and accessed quickly without the burden of having to uncompress large amounts of data or perform exhaustive searches. Traditional formats for storing this data, such as TIFF and DICOM are either difficult to scale, or unable to perform in terms of scalability, access speeds, and the ability to accommodate large and complex metadata make HDF5 the ideal solution
By using HDF5, many organizations and communities achieve their I/O performance, storage, quality and reliability requirements, without sacrificing their ability to accommodate virtually every kind of data.