Find specific gene or transcript kmers. And more.
Project description
Kmerator2
Prototype for decomposition of transcript or gene sequences and extraction of their specific k-mers
Kmerator is a prototype tool designed for the prediction of specific k-mers (also called tags) from input sequences, considering a reference genome and an ENSEMBL-like transcriptome. From these specific k-mers, it also outputs their corresponding specific contigs which are sequences of consecutive k-mers (overlapping length between k-mers must be k-1, otherwise, it's a new contig). Kmerator first uses Jellyfish [1] to create 2 requestable indexes from the reference genome and transcriptome, and second, decomposes your input transcript or gene sequences to count the occurences of each k-mer in the genome and transcriptome. Number of occurrences are then interpreted, in different manners, to select specific k-mer from your input.
Kmerator strictly depends on a reference genome (fasta or jellyfish index format) and on an Ensembl fasta format transcriptome, you can find it there: https://www.ensembl.org/info/data/ftp/index.html. For a more complete k-mer filtering, we advice to merge the coding (cDNA) and non-coding (ncRNA) as one unique reference transcript.
Kmerator2 is new version of kmerator, written in python3 (julia with first version), several options have changed. It is compatible with last versions of Ensembl transcriptome (version 103 max for kmerator). The output is improved and a file report is produced.
Dependencies
- Python >= v3.6
- Jellyfish >= 2.0
Installation
Solution 1 (preferred)
Install with pip
pip3 install kmerator2
If installed as user, ensure the directory $HOME/.local/bin
is in your $PATH.
Solution 2
Installation from github
git clone https://github.com/Transipedia/kmerator2.git
cp kmerator2/kmerator/kmerator.py /usr/local/bin/kmerator2 # or somewhere in your $PATH
cp kmerator2/kmerator/ktools.py /usr/local/bin/ktools # or somewhere in your $PATH
Usage
kmerator2 [-h] (-s SELECTION [SELECTION ...] | -f FASTA_FILE) -g GENOME -t TRANSCRIPTOME
-l {gene,transcript,chimera} [-a APPRIS] [-u] [-k KMER_LENGTH] [--stringent]
[--threshold THRESHOLD] [-o OUTPUT] [-c CORES] [--verbose] [-v]
How use kmerator2
There are two main cases:
- you find for specific k-mers for annotated genes or transcripts : use the
--selection
option, followed by:- the list of gene and/or transcripts
- or a file with the list of genes/transcripts
- you find for specific k-mers of unannotated sequences : use the
--fasta-file
option, followed by a fasta file containing yours requests. In case of you focuses on chimeras, add the--chimera
option
Differences between genes and transcripts
- When you find for a gene (symbol or Ensembl name), kmerator fetch sequence of its canonical transcript, extracts kmers and keep those that found only in the gene.
- When you find for a transcript, kmerator only keeps the kmer found in the transcript, and only in that transcript. If isoforms completely cover the transcript, no kmer will be kept.
arguments
optional arguments:
-h, --help show this help message and exit
-s SELECTION [SELECTION ...], --selection SELECTION [SELECTION ...]
list of gene IDs or transcript IDs (ENST, ENS or gene Symbol) to select
inside your fasta transcriptome file and that you want to
extract specific kmers from. For genes, kmerator search specific kmers
along the gene. For transcripts, it search specific kmers to
the transcript. You can also give a file with yours genes/transcripts
separated by space, tab or newline. If you want to use your
own unannotated sequences, you must give your fasta file with
--fasta_file option.
-f FASTA_FILE, --fasta-file FASTA_FILE
Use this option when yours sequences are unannonated or provided by a
annotation file external from Ensembl. Otherwise, use
--selection option.
-g GENOME, --genome GENOME
genome fasta file or jellyfish index (.jf) to use for k-mers requests.
-t TRANSCRIPTOME, --transcriptome TRANSCRIPTOME
transcriptome fasta file (ENSEMBL fasta format ONLY) to use for k-mers
request and transcriptional variants informations.
-j JELLYFISH_TRANSCRIPTOME, --jellyfish-transcriptome JELLYFISH_TRANSCRIPTOME
if your transcriptome (-t option) has already been converted by
jellyfish as a jf file, this avoids redoing the operation (be
careful,it must be the same transcriptome!). if not set, kmerator find
for a jellyfish index with the same name (extension .fa -> .jl), and if
not it creates a index in the output directory (-o).
-c SPECIE, --specie SPECIE
indicate a specie referenced in Ensembl, to help, follow the link
https://rest.ensembl.org/documentation/info/species. You can use
the 'name', the 'display_name' or any 'aliases'. For example human,
homo_sapiens or homsap are valid.
-k KMER_LENGTH, --kmer-length KMER_LENGTH
k-mer length that you want to use (default 31).
--chimera Only if with --fasta-file option.
--stringent FOR ANNOTATED GENE ONLY: use this option if you want to select
gene-specific k-mers present in ALL known transcripts for your gene.
If false, a k-mer is considered as gene-specific if present in at least
one isoform of your gene of interest.
--threshold THRESHOLD
FOR ANNOTATED GENE ONLY: minimum fraction of annotated transcripts, for
a given gene, containing this kmer to keep it (default: 0)
-o OUTPUT, --output OUTPUT
output directory (default: 'output')
-p PROCS, --procs PROCS
run n processes simultaneously (default: 1)
-d, --debug if you want some details while Kmerator is running.
--keep keep intermediate files (sequences, indexes, separate tags and contigs
files).
-v, --version show program's version number and exit
Nota: kmerator2
has lost the --level
option specifying the level (gene, transcript or chimera). It's now semi-automatic: if you give a gene symbol
or a ENSGxxx
the level is gene, if you give a ENSTxxx
the level is transcript. You can mix gene symbols, ENSGxxxx and ENSTxxx. You need to use the --fasta-file
in association with --chimera
to operate at chimera
level.
ktools, a companion tool for kmerator
ktools can help you with some kmerator related tasks. For example, build the transcriptome could be tricky and repetitive (updated quaterly).
usage: ktools [-h] [-v] {mk-transcripts} ...
positional arguments:
{mk-transcripts}
mk-transcripts make transcriptome
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
build transcriptome
ktools get cDNA and ncRNA Ensembl transcriptome fasta files (last release by default), it concatene this files and remove alternative chromosomes.
References
[1] Guillaume Marçais, Carl Kingsford, A fast, lock-free approach for efficient parallel counting of occurrences of k-mers, Bioinformatics, Volume 27, Issue 6, 15 March 2011, Pages 764–770, https://doi.org/10.1093/bioinformatics/btr011 [2] Rodriguez JM, et al. Nucleic Acids Res. Database issue; 2017 Oct 23
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