Which C++ Libraries Are Best For Dealing With Fastq Files?
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14.7 years ago

I would like to rewrite some perl scripts into something faster. I haven't written C++ since the Clinton administration. Granted I am not married to C++ per se but I would need something that benchmarks well.

Which C++ libraries are people using to deal with NGS data?

next-gen-sequencing fastq c • 11k views
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Which OS/CPU architecture do you need it for?

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RHEL5 x86_64 ..

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14.7 years ago
Michael 55k

I saw a SeqAn poster at ISMB last year. No experience with the library (nor C++) myself but they support the fastq format and they made the impression that they are quite competent.

SeqAn file formats

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14.7 years ago
User 59 13k

I wouldn't dream of doing this I admit, I tend to handle fastq files with applications other people develop.

However there is a FASTA/FASTQ c++ parser here:

http://lh3lh3.users.sourceforge.net/parsefastq.shtml which might serve as a base for what you want to do.

It's from Heng Li who also works on SAMtools, BWA and MAQ

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bouuhhhh in http://lh3lh3.users.sourceforge.net/kseq.shtml ANY malloc should be checked against NULL (line 56 , 121 , 188 ...) :-(

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+1 - Highly recommended. That header supports compressed files, too, which speeds IO-bound processing. One caveat for C++ though - that header wants char and FILE, not C++ strings and iostreams, but that's easy enough to manage.

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14.2 years ago
Manuel ▴ 410

If you work with NGS data and want to try SeqAn as Michael already suggested, have a look at this tutorial for importing read data. Also, their documentation has greatly improved recently.

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10.1 years ago
Luiz Irber • 0

Another option is SeqDB

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6.4 years ago
cartoonist ▴ 110

Since I could not find any C++ library that meets my requirements, I re-write the kseq library (by @lh3) in C++ using templates, called kseq++. Here, I compared its performance with original kseq and SeqAn: https://github.com/cartoonist/kseqpp

SeqAn uses its own string class. If one does not use it, converting back to std::string is really expensive (3x slower on my workstation).

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