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CCTop-1.0.1
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CRISPR/Cas Target online predictor
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | CCTop-1.0.1 |
| نام | CCTop |
| نسخه کتابخانه | 1.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Juan L. Mateo |
| ایمیل نویسنده | mateojuan@uniovi.es |
| آدرس صفحه اصلی | https://bitbucket.org/juanlmateo/cctop_standalone |
| آدرس اینترنتی | https://pypi.org/project/CCTop/ |
| مجوز | - |
**CCTop** is a tool to determine suitable CRISPR/Cas9 target sites in a given query
sequence(s) and predict its potential off-target sites. The online version of
**CCTop** is available at http://crispr.cos.uni-heidelberg.de/
This is a command line version of **CCTop** that is designed mainly to allow search
of large volume of sequences and higher flexibility.
If you use this tool for your scientific work, please cite it as:
Stemmer, M., Thumberger, T., del Sol Keyer, M., Wittbrodt, J. and Mateo, J.L.
*CCTop: an intuitive, flexible and reliable CRISPR/Cas9 target prediction tool.*
**PLOS ONE (2015)**.
[doi:10.1371/journal.pone.0124633](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0124633)
If you use the CRISPRater score to select your target sites, please cite as well this work:
Labuhn, M., Adams, F. F., Ng, M., Knoess, S., Schambach, A., Charpentier, E. M., ... Heckl, D.
*Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applications.*
**Nucleic Acids Research (2017)**.
[doi: 10.1093/nar/gkx1268](https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkx1268/4754467)
# Requirements
**CCTop** is implemented in Python and it requires a version 3.5 or above.
In addition we relay on the short read aligner Bowtie 1 to identify the
off-target sites. Bowtie can be downloaded from this site
http://bowtie-bio.sourceforge.net/index.shtml in binary format for the main
platforms.
You need to create an indexed version of the genome sequence of your
target species. This can be done with the tool bowtie-build included in the
Bowtie installation. For that you simply need a fasta file containing the genome
sequence. To get the index you can do something like:
```
$ bowtie-build -r -f <your-fasta-file> <index-name>
```
The previous command will create the index files in the current folder.
To handle gene and exon annotations we use the python library
[bx-python](https://bitbucket.org/james_taylor/bx-python/). This library is
only required if you want to associate off-target sites with the closest
exon/gene, otherwise you don't need to install it.
The exon and gene files contain basically the coordinates of those elements in
[bed format](http://genome.ucsc.edu/FAQ/FAQformat#format1), which are the first
three columns of the file. The exon file can contain two more columns with the
ID and name of the corresponding gene.
You can generate easily such kind of files for you target organism using the
script `gff2bedFiles` included in this package. As the name
of this script suggests, you only need a GFF file with the annotation.
Additionally, you can also use [Ensembl Biomart](http://www.ensembl.org/biomart),
if your species is available there, to generate files complying with these
requirements.
In case of difficulties with these files contact us and we can provide you the
files you need or help to generate them on your own.
# Install
Please, refer to the file `INSTALL.md`.
# Usage
After a successful installation you should have the main **CCTop** executable,
together with the scripts to generate the gene/exons files, ready to be used.
You can run **CCTop** with the -h flag to get a detailed list of the available
parameters. For instance:
```
$ cctop -h
```
At minimum it is necessary to specify the input (multi)fasta file (--input) and
the Bowtie index (--index). In this case **CCTop** assumes that the Bowtie
executable can be found in the `PATH` system variable, there are not gene and
exon files to use and the rest of parameters will take default values.
Notice that the index parameter to specify here refers to the name of the
index, without any file extension, together with the path, if necessary.
A command for a typical run will look something like this:
```
$ cctop --input <query.fasta> --index <path/index-name> --output <output-folder>
```
The result of the run will be three files for each sequence in the input query
file. These files will have extension .fasta, .bed and .xls, containing,
respectively, the sequence of the target sites, their coordinates and their
detailed information as in the online version of CCTop. The name of the output
file(s) will be taken from the name of the sequences in the input fasta file.
## Generating Exon/Gene files
For any species you have to work with it is very likely that there is an
annotation file in GFF format. From any of these files you can generate
the files that **CCTop** needs to annotate the off-target sites.
The script `gff2bedFiles` expects as first argument the input file in
[GFF version 3](https://github.com/The-Sequence-Ontology/Specifications/blob/master/gff3.md)
format.
Files in this format can be usually found with their corresponding assemblies
in the web sites NCBI or Ensembl.
With the input file downloaded, it doesn't need to be uncompressed if it is in
gz format, specify it as first argument to the script followed by
the prefix you prefer for the output files.
```
$ gff2bedFiles <input-gff> <prefix>
```
The result will be two files named `<prefix>_exons.bed.gz` and
`<prefix>_genes.bed.gz`.
These files are compressed, to save space, and can be passed directly to
**CCTop**.
# Docker image
**CCTop** is also available as a Docker image at https://hub.docker.com/r/juanlmateo/cctop
This image contains everything ready to use **CCTop**.
Simply download the image with this command
```
docker pull juanlmateo/cctop:latest
```
With this image you can run the commands `cctop` and `gff2bedFiles`, but also
you can run Bowtie to create the index of your target species.
Below you have an example that shows how to get CRISPR/Cas candidates for a
sequence using the yeast as target species. This example shows all the steps,
from creating the Bowtie index, the exon and gene files to the generation of
the final output.
```
# downloading the genome of the target species in fasta forma
wget ftp://ftp.ensembl.org/pub/release-99/fasta/saccharomyces_cerevisiae/dna/Saccharomyces_cerevisiae.R64-1-1.dna.toplevel.fa.gz
# building the bowtie index from the fasta file
docker run -v `pwd`:/data/ cctop bowtie-build -r -f Saccharomyces_cerevisiae.R64-1-1.dna.toplevel.fa.gz saccharomyces_cerevisiae
# downloading the annotation of this assembly in GFF format
wget ftp://ftp.ensembl.org/pub/release-99/gff3/saccharomyces_cerevisiae/Saccharomyces_cerevisiae.R64-1-1.99.gff3.gz
# generating the exon and gene files
docker run -v `pwd`:/data/ cctop gff2bedFiles Saccharomyces_cerevisiae.R64-1-1.99.gff3.gz saccharomyces_cerevisiae
# defining the input sequence(s)
echo -e ">YDL194W\nATGGATCCTAATAGTAACAGTTCTAGCGAAACATTACGCCAAGAGAAACAGGGTTTCCTA" > test.fa
# running CCTop
docker run -v `pwd`:/data/ cctop cctop --input test.fa --index saccharomyces_cerevisiae --exons saccharomyces_cerevisiae_exons.bed.gz --genes saccharomyces_cerevisiae_genes.bed.gz
```
نیازمندی
| مقدار | نام |
|---|---|
| - | bx-python |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.5 | Python |
نحوه نصب
نصب پکیج whl CCTop-1.0.1:
pip install CCTop-1.0.1.whl
نصب پکیج tar.gz CCTop-1.0.1:
pip install CCTop-1.0.1.tar.gz