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They support both, and will deprecate Python 2 style soon.
https://github.com/seq-lang/seq/issues/223
Seems like there's a conda packaging on the works: https://github.com/bioconda/bioconda-recipes/pull/29660
Nim has had some success in genomics mainly thanks to the work of https://github.com/brentp
Nim can be sold as a "A strongly-typed and statically-compiled high-performance Pythonic language" as Seq (although it is more than that and does not actually have as a goal to be Pythonic, see https://nim-lang.org/ or https://github.com/Araq/nimconf2021/blob/main/zennim.rst).
Still, given the small size of Nim community and even smaller size of the genomics nim subcommunity, I would say it is not that odd that is not included in the benchmark. The existing nim genomics library might not even cover the functionalities requested by the benchmark.
Nim has had some success in genomics mainly thanks to the work of https://github.com/brentp
Nim can be sold as a "A strongly-typed and statically-compiled high-performance Pythonic language" as Seq (although it is more than that and does not actually have as a goal to be Pythonic, see https://nim-lang.org/ or https://github.com/Araq/nimconf2021/blob/main/zennim.rst).
Still, given the small size of Nim community and even smaller size of the genomics nim subcommunity, I would say it is not that odd that is not included in the benchmark. The existing nim genomics library might not even cover the functionalities requested by the benchmark.
Used it for coding Coursera/Stepik's Bioinformatics course [1] when it was first announced 2 years ago.
Not claiming it as any sort of reference, but you can see how it [2] may be used to solve some basic genome sequencing.
[1] https://www.coursera.org/specializations/bioinformatics
[2] https://github.com/fuzzthink/seq-genomics
It might be pretty useful as a teaching tool, but I'm skeptical of its long-term benefit to professionals. I'm not sure the ecosystem of Seq users will be large enough, y'know? Again, it's pretty impressive work, and it's come a long way. I wish the devs all the best. :)
1. https://biopython.org/
We're here, still plugging along.
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
https://github.com/bigdatagenomics/adam
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