The complete user documentation is available here.
For quick start information see here.
See Shafin et al, Nature Biotechnology 2020 for an error analysis of the Shasta assembler and more. Reads from this paper are available here. The assembly results are here.
Here is a QUAST analysis of a Shasta assembly of CHM13 and comparison with other assemblers.
Requests for help: please file GitHub issues to report problems, request help or ask questions. Please keep each issue on a single topic when possible.
The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by Oxford Nanopore flow cells.
Computational methods used by the Shasta assembler include:
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Using a run-length representation of the read sequence. This makes the assembly process more resilient to errors in homopolymer repeat counts, which are the most common type of errors in Oxford Nanopore reads.
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Using in some phases of the computation a representation of the read sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
As currently implemented, Shasta can run an assembly
of a human genome at coverage around 60x
in about 5 hours using a single, large machine (AWS instance type
x1.32xlarge, with 128 virtual processors and 1952 GB of memory).
The compute cost of such an assembly is around $20 at AWS spot market or reserved prices.
Shasta assembly quality is comparable or better than assembly quality achieved by other long read assemblers - see this paper for an extensive analysis.
The Shasta software uses various external software packages. See here for more information.
Please note: If you believe you have found a security issue, please responsibly disclose by contacting security@chanzuckerberg.com.
The complete user documentation is available here.
For quick start information see here.