Hi @Larvae, you might get better answers to questions about internal code and design decisions at the Interest mailing list (subscribe first, then post). Qt engineers are active on that list; this forum is mainly used by Qt users who don't necessarily know any internal details.
You have to enable Use QML emulation layer that is built with the selected Qt in the settings, since Qt Creator does ship with Canvas3D.
Note that Canvas3D is not officially supported in the designer, though.
What I suggested is not compression per se, but a way to encode (meaning represent) base pair data more efficiently. As I noted, this is no way a complete solution, but I think it should give you a starting point. Since adenine is complementary to thymine the first could be encoded as a bit sequence 00 and the other as 11, while cytosine and guanine could be encoded as 01 and 10 respectively. This way you can get the complementary base by only inverting bits. Suppose you have encoded half the strain of DNA, then the complementary strain you get simply by inverting all the bits. Since the base data is only 2 bits fixed size you can use offsets to calculate where that data is exactly located in a long base pair sequence. Suppose you have a sequence of alleles and you know that some gene contains 3 alleles and starts with the 35th allele of the base-pair sequence, then you can access the gene sequence very easily. The gene should start at (35 - 1) * 3 = 102th base pair (or 102 * 2 = 204th bit) and the size is simply 9 base pairs or 18 bits. I just hope my biology is not failing me with the calculations. So if you had the whole sequence mapped in a binary file, to read up the gene you seek out the correct position directly by those offsets:
; //< You know the drill with handling errors
file.seek(25); //< Go to the 25-th byte (200th bit)
QByteArray geneSequenceData = file.read(3); //< Read 3 bytes (up to bit 224)
// So in the byte array we've read we have the gene we're interested in, and it starts at the 4-th bit and ends at bit 22
// The total number of bits read is 24
The whole point of having a structured binary file is to be able to seek around it without actually reading things. Obviously my example is pretty superficial and it's much better to have special class that represent a base pair sequence, class representing gene offsets and other data you might want to handle. Additionally, you probably'd need some meta-information written in that file (offsets of sequences, genes or other things) so you could locate what you need. This is not possible with text files, especially in a platform independent fashion. Moreover a sequence of 4 base pairs you encode in 4 bytes when you use text files, with the proposed encoding scheme you only need a single byte!