LRez provides a standalone tool allowing to work with barcoded linked-reads such as 10X Genomics data, as well as library allowing to easily use it in other projects.
Presently, it is directly compatible with the following linked-reads technologies, given the barcodes are reported using the BX:Z tag (if this is not the case, pre-processing scripts are given in the utils/ directory):
- 10x Genomics
- Haplotagging
- stLFR
- TELL-Seq
LRez has different functionalities such as comparing regions pairs or contigs extremities to retrieve their common barcodes and extracting barcodes from given regions of a BAM file, as well as indexing and querying both BAM and FASTQ files to quickly retrieve reads or alignments sharing a given barcode or list of barcodes. In can thus be used in different applications, such as variant calling or scaffolding.
- A Unix based operating system.
- g++, minimum version 5.5.0.
- CMake, minimum version 2.8.2.
- zlib, minimum version 1.2.11.
Clone the LRez repository, along with its submodules with:
git clone --recursive https://github.com/morispi/LRezThen run the install.sh script:
./install.shThe installation script will build dependencies, the binary standalone in the bin folder, as well as the library, allowing to use LRez in other projects, in the lib folder.
Alternatively, LRez is also distributed as a bioconda package, which can be installed with:
conda install -c bioconda lrezLRez [SUBCOMMAND]
where [SUBCOMMAND] can be one of the following:
- compare: Compute the number of common barcodes between pairs of regions, or between pairs of contigs' extremities
- extract: Extract the barcodes from a given region of a BAM file
- stats: Retrieve general stats from a BAM file
- index bam: Index the offsets or occurrences positions of the barcodes contained in a BAM file
- query bam: Query the barcodes index to retrieve alignments in a BAM file, given a barcode or list of barcodes
- index fastq: Index the offsets of the barcodes contained in a fastq file
- query fastq: Query the barcodes index to retrieve alignments in a fastq file, given a barcode or list of barcodes
A description of each subcommand as well as its options is given below.
LRez compare allows to compute the number of common barcodes between all possibles pairs of a given list of regions, or between a given contig's extremities and all other contigs' extremities.
--bam STRING, -b STRING: BAM file containing the alignments
--index STRING, -i SRING: Barcodes offsets index built with the index bam subcommand
--region STRING, -r STRING: File containing regions of interest in format chromosome:startPosition-endPosition
--contig STRING, -c STRING: Contig of interest
--contigs STRING, -c STRING: File containing a list of contigs of interest
--size INT, -s INT: Size of contigs' extremities to consider (optional, default: 1000)
--output STRING, -o STRING: File where to output the results (optional, default: stdout)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
LRez extract allows to extract the list of barcodes in a given region of a BAM file.
--bam STRING, -b STRING: BAM file to extract barcodes from
--region STRING, -r STRING: Region of interest in format chromosome:startPosition-endPosition
--all, -a: Extract all barcodes
--output STRING, -o STRING: File where to output the extracted barcodes (optional, default: stdout)
--duplicates, -d: Include duplicate barcodes (optional, default: false)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
LRez stats allows to retrieve general stats from the BAM file.
--bam STRING, -b STRING: BAM file to extract barcodes from
--regions INT, -r INT: Number of regions to consider to define stats (optional, default: 1000)
--size INT, -s INT: Size of the regions to consider (optional, default: 1000)
--output STRING, -o STRING: File where to output the extracted barcodes (optional, default: stdout)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
LRez index bam allows to index the offsets or occurrences positions of the barcodes contained in a BAM file.
--bam STRING, -b STRING: BAM file to index
--output STRING, -o STRING: File where to store the index
--offsets, -f: Index the offsets of the barcodes in the BAM file
--positions, -p: Index the (chromosome, begPosition) occurrences positions of the barcodes
--primary, -r: Only index barcodes that appear in a primary alignment (optional, default: false)
--quality INT, -q INT: Only index barcodes that appear in an alignment of quality higher than this number (optional, default: 0)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
LRez query bam allows to query a barcodes index and a BAM file to retrieve alignments containing the query barcodes.
--bam STRING, -b STRING: BAM file to search
--index STRING, -i STRING: Barcodes offsets index, built with the index bam subcommand, using the -f option.
---query STRING, -q STRING: Query barcode to search in the BAM / index
--list STRING, -l STRING: File containing a list of barcodes to search in the BAM / index
--output STRING, -o STRING: File where to output the extracted alignments (optional, default: stdout)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
LRez index fastq allows to index the offsets of the barcodes contained in a fastq file.
--fastq STRING, -f STRING: Fastq file to index
--output STRING, -o STRING: File where to store the index
--gzip, -g: Fastq file is gzipped (optional, default: false)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
LRez query fastq allows to query a barcodes index and a fastq file to retrieve alignments containing the query barcodes.
--fastq STRING, -f STRING: Fastq file to search
--index STRING, -i STRING: Barcodes index, built with the index fastq subcommand
--query STRING, -q STRING: Query barcode to search in the fastq file and the index
--list STRING, -l STRING: File containing a list of barcodes to search in the fastq file and the index
--collectionOfLists STRING, -c STRING: File of files (FOF) e.g. file containing files' names of lists of barcodes to search in the fastq file and the index
--output STRING, -o STRING: File where to output the extracted reads (optional, default: stdout)
--gzip, -g: Fastq file is gzipped (optional, default: false)
--threads INT, -t INT: Number of threads to use (optional, default: 1)
Complete documentation of the different API functions is provided at https://morispi.github.io/LRez/files.html. Additionnal information and usage examples are provided on the Wiki page https://github.com/morispi/LRez/wiki.
LRez has been developed and tested on x86-64 GNU/Linux.
Support for any other platform has not been tested.
Pierre Morisse, Claire Lemaitre and Fabrice Legeai.
Pierre Morisse, Claire Lemaitre, Fabrice Legeai. LRez: C++ API and toolkit for analyzing and managing Linked-Reads data. Bioinformatics Advances, vbab022, https://doi.org/10.1093/bioadv/vbab022
You can report problems and bugs as issues on this repository : https://github.com/morispi/LRez/issues
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent