7 Commits

4 changed files with 91 additions and 23 deletions

View File

@@ -1,3 +1,49 @@
* locigenesis
locigenesis is a tool that generates an immune repertoire and runs it through a sequence reader simulation tool, to generate sequencing errors.
** Installation
This project uses [[https://nixos.org/][Nix]] to ensure reproducible builds.
1. Install Nix (compatible with MacOS, Linux and [[https://docs.microsoft.com/en-us/windows/wsl/about][WSL]]):
#+begin_src shell
curl -L https://nixos.org/nix/install | sh
#+end_src
1. Clone the repository:
#+begin_src shell
git clone https://git.coolneng.duckdns.org/coolneng/locigenesis
#+end_src
3. Change the working directory to the project:
#+begin_src shell
cd locigenesis
#+end_src
4. Enter the nix-shell:
#+begin_src shell
nix-shell
#+end_src
After running these commands, you will find yourself in a shell that contains all the needed dependencies.
** Usage
An execution script that accepts 2 parameters is provided, the following command invokes it:
#+begin_src shell
./generation.sh <number of sequences> <number of reads>
#+end_src
- <number of sequences>: an integer that specifies the number of different sequences to generate
- <number of reads>: an integer that specifies the number of reads to perform on each sequence
The script will generate 2 files under the data directory:
| HVR.fastq | Contains the original CDR3 sequence |
| CuReSim-HVR.fastq | Contains CDR3 after the read simulation, with sequencing errors |

View File

@@ -1,7 +1,7 @@
#!/bin/sh
usage() {
echo "usage: generation.sh <number of sequences> <number_of_reads>"
echo "usage: generation.sh <number of sequences> <number of reads>"
exit 1
}
@@ -17,5 +17,6 @@ filename="sequence"
prefix="curesim_"
Rscript src/repertoire.r "$sequences" "$number_of_reads" &&
java -jar tools/CuReSim.jar -f "$data_directory$filename$fastq" -o "$data_directory$prefix$filename$fastq"
CuReSim -f "$data_directory$filename$fastq" -o "$data_directory$prefix$filename$fastq"
Rscript src/alignment.r
rm "$data_directory/log.txt"

View File

@@ -2,15 +2,35 @@
with pkgs;
mkShell {
let
CuReSim = stdenv.mkDerivation rec {
name = "CuReSim";
version = "1.3";
src = fetchzip {
url =
"http://www.pegase-biosciences.com/wp-content/uploads/2015/08/${name}${version}.zip";
sha256 = "1hvlpgy4haqgqq52mkxhcl9i1fx67kgwi6f1mijvqzk0xff77hkp";
stripRoot = true;
extraPostFetch = ''
chmod go-w $out
'';
};
nativeBuildInputs = [ makeWrapper ];
installPhase = ''
mkdir -pv $out/share/java $out/bin
cp -r ${src} $out/share/java/${name}
makeWrapper ${pkgs.jdk}/bin/java $out/bin/CuReSim --add-flags "-jar $out/share/java/${name}/${name}.jar"
'';
};
in mkShell {
buildInputs = [
R
rPackages.immuneSIM
rPackages.Biostrings
rPackages.stringr
jdk
# Development tools
rPackages.languageserver
rPackages.lintr
CuReSim
];
}

View File

@@ -70,31 +70,32 @@ get_cys_coordinates <- function(alignment) {
return(list("start" = cys_start, "end" = cys_end))
}
# TODO Refactor this mess
get_hvr_sequences <- function(sequences, vdj_segments) {
get_hvr_sequences <- function(sequences, vdj_segments, cores = detectCores()) {
df <- fetch_vj_sequences(sequences, vdj_segments)
v_alignment <- parallel::mcmapply(sequences, df$v_seq, FUN = align_sequence)
j_alignment <- parallel::mcmapply(sequences, df$j_seq, FUN = align_sequence)
v_alignment <- parallel::mcmapply(sequences,
df$v_seq,
FUN = align_sequence,
mc.cores = cores
)
cys_coordinates <- parallel::mclapply(v_alignment, FUN = get_cys_coordinates)
cys_df <- as.data.frame(do.call(rbind, cys_coordinates))
remaining <- Biostrings::subseq(sequences, start = unlist(cys_df$end))
j_alignment <- parallel::mcmapply(remaining,
df$j_seq,
FUN = align_sequence,
mc.cores = cores
)
j_start <- parallel::mclapply(
j_alignment,
function(x) start(Biostrings::Views(x))
)
hvr <- Biostrings::subseq(sequences,
start = unlist(cys_df$start),
end = unlist(j_start) + 2
function(x) start(Biostrings::Views(x)),
mc.cores = cores
)
hvr_start <- unlist(cys_df$start)
hvr_end <- unlist(cys_df$start) + unlist(j_start) + 2
hvr <- Biostrings::subseq(sequences, start = hvr_start, end = hvr_end)
return(hvr)
}
save_data <- function(data) {
Biostrings::writeXStringSet(data, "data/CuReSim-HVR.fastq", format = "fastq")
}
data <- parse_data(file = "data/curesim_sequence.fastq")
hvr <- get_hvr_sequences(
sequences = data[[1]],
vdj_segments = data[[2]]
)
hvr <- get_hvr_sequences(sequences = data[[1]], vdj_segments = data[[2]])
Biostrings::writeXStringSet(hvr, "data/CuReSim-HVR.fastq", format = "fastq")