An exact* longread aligner applying the following techniques to not be orders of magnitude slower than more approximate tools like minimap.

• 2-3 error approximate FM-Index search using optimal search schemes
• heuristic anchor selection*
• PEX hierarchical verification guided by a novel PEX tree generation strategy
• parallel and vectorized pairwise alignment implementation

Exactness* here means adhering to a specific formal definition. It is of course impossible to exactly solve the biological read mapping problem. This tool is guaranteed to find a similar (representative) alignment for every linear alignment that matches the query with at most a given error ratio in edit distance*. This means that large indel and structural variant resolution are currently out of scope of this project.

*The exactness property is not held in highly repetetive regions where seeds produce many anchors/hits/matches. Here the heuristic anchor selection is used to identify possibly non-repetitive anchors.

This is an experimental research prototype (for my master's thesis) and currently not competitive to state-of-the-art tools like minimap2, in most regards. In addition to the limitations above, it is much slower and therefore not well suited for most applications with large amounts of data.

Requires a C++20-capable compiler and CMake.

git clone --recurse-submodules https://github.com/feldroop/floxer
mkdir floxer/build && cd floxer/build
cmake .. -DCMAKE_BUILD_TYPE:STRING=Release
make

Execute the following command inside the build directory to run the tests:

make check

Basic usage:

./floxer --reference hg38.fasta --query reads.fastq --error-probability 0.07 --output mapped_reads.bam

For a list and descriptions of the basic command line options, run:

./floxer --help

For all available options, including ones intended exclusively for research and evaluation, run:

./floxer --advanced-help