LFdBG is fast and easy to work with C++ library that uses Lock-Free structures for de-Novo genome assembly.
For the library to work properly it needs Boost library to be installed on the computer. On linux it can be installed with this command.
sudo apt-get install libboost-all-dev
This library needs version 11 of C++, because of std::atomic.
Other than that using LFdBG library does not need anything else installed.
When creating the LFdBG object, the user must provide a few fundamental parameters: the graph dimension (lenght of k-mers), the number of threads to be used for assembly, the size of the hash table, average read length and approximate genome size. There is also type bool parameter called normalize. If we do not want to try to normalize our graph we can simply set it to false.
The LFdBG class provides two public methods:
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Using the getContigs method we can get a copy of the created contigs. When used for the first time, the algorithm will search the graph and remember the paths found. On following calls, the previously saved contigs will be returned.
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The getGraph method returns the graph as a set of all created nodes with their mers as a series of strings. If we also want to obtain weights, we must pass the boolean value true as a parameter of the method.
Example of usage with parameters:
- k=6
- average read length = 200
- approximate genome size = 1000000
- number of threads = 4
- table size = 4000000
- normalization = true (default value)
Code:
#include "LFdBG.h"
LFdBG d = LFdBG(6, reads, 200, 1000000, 4, 4000000);
auto contigs = d.getContigs();
When we do not know size of a genome we can switch off normalization step of the algorithm by adding false as a last parameter.
Other examples can be found in unitTests.cpp file under the tests folder.
This library with source codes is available under MIT license.
Copyright (c) 2022 Daniel Gorniak, Robert Nowak, Warsaw University of Technology
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