Raven

Raven is a de novo genome assembler for long uncorrected reads.

Usage

To build raven run the following commands:

git clone --recursive https://github.com/lbcb-sci/raven.git raven
cd raven && mkdir build && cd build
cmake -DCMAKE_BUILD_TYPE=Release .. && make
./bin/raven

which will display the following usage:

usage: raven [options ...] <sequences>

# default output is stdout
  <sequences>
    input file in FASTA/FASTQ format (can be compressed with gzip)

  options:
    -p, --polishing-rounds <int>
      default: 2
      number of times racon is invoked
    -m, --match <int>
      default: 3
      score for matching bases
    -n, --mismatch <int>
      default: -5
      score for mismatching bases
    -g, --gap <int>
      default: -4
      gap penalty (must be negative)
    --graphical-fragment-assembly <string>
      prints the assemblg graph in GFA format
    --resume
      resume previous run from last checkpoint
    -t, --threads <int>
      default: 1
      number of threads
    --version
      prints the version number
    -h, --help
       prints the usage

  only available when built with CUDA:
    -c, --cuda-poa-batches <int>
       default: 0
       number of batches for CUDA accelerated polishing
    -b, --cuda-banded-alignment
       use banding approximation for polishing on GPU
       (only applicable when -c is used)
    -a, --cuda-alignment-batches <int>
       default: 0
       number of batches for CUDA accelerated alignment

Dependencies

• gcc 4.8+ or clang 3.5+
• cmake 3.9+
• zlib

CUDA Support

To build submodule racon with CUDA support, add -Dracon_enable_cuda=ON while running cmake. For more information see this.

Dependnecies

• gcc 5.0+
• cmake 3.10+
• CUDA 9.0+

Other options

Brew

Install Linuxbrew and run the following command:

brew install brewsci/bio/raven-assember

Conda

Install conda and run the following command:

conda install -c bioconda raven-assembler

Acknowledgment

This work has been supported in part by the Croatian Science Foundation under the projects Algorithms for genome sequence analysis (UIP-11-2013-7353) and Single genome and metagenome assembly (IP-2018-01-5886), and in part by the European Regional Development Fund under the grant KK.01.1.1.01.0009 (DATACROSS).