Genotyping by Sequencing is an emerging technology for cost effective variant discovery and genotyping. However, current analysis tools do not fulfill all experimental design and analysis needs.
GBSX is a package of tools to first aid in experimental design, including choice of enzymes and barcode design. Secondly, it provides a first analysis step to demultiplex samples using in-line barcodes, providing fastq files that can easily be plugged into existing variant analysis pipelines.
The perl script for in silico digests and the compiled program for all other analyses can be found in the releases directory. The latest directory has the latest version. However, previous versions are still available. The complete source code can be found in the src directory. Example data and results for the tool can be found in the example directory.
##Licence
All parts of this tool is licenced under GPLv3.
A copy of this licence is included under LICENSE.
Genomics Core
Center for Human Genetics
UZ – KU Leuven
Herestraat 49 PO box 602
B-3000 Leuven, Belgium
Mail: [email protected]
We ask that you cite this paper if you use GBSX in work that leads to publication.
Herten,K et al. (2015) GBSX: a toolkit for experimental design and demultiplexing genotyping by sequencing experiments BMC Bioinformatics 2015, 16:73 doi:10.1186/s12859-015-0514-3
Genotyping By Sequencing demultipleXing toolkit (GBSX) is a toolkit with an inline barcode demultiplexer for usage in the analysis of single read or paired-end genotyping by sequence (GBS) data, a barcode generator, a barcode discovery tool, and a restriction enzyme predictor. GBSX can easily be incorperated as a preceding analysis step for already deployed SNP pipelines.
mandatory parameters:
-d
digest sequence-
`-l` read length
-
`-f` file of reference fasta file location(s)
optional parameters:
-e
enzyme name to use (default: Enzyme)-
`-g` genome name to use in bed file name (default: genome)
-
`-n` minimum size fragments to include (default: 100)
-
`-m` maximum size fragments to use (default: 1000)
-
`-E` second enzyme name to use (default: Enzyme2)
-
`-D` digest sequence for a second enzyme (default: not declared)
-
`-R` digest sequence for a third enzyme (default: not declared)
mandatory parameters:
-b
the number of barcodes needed-e
the enzyme used for the experiment
optional parameters:
-ef
the enzyme file. This option adds new enzymes.
The file must be tab delimited: First column the enzyme name, second column the cutsites remains (comma separated) (example: enzyme ApeKI and restriction site G^CWGC: "ApeKI \tab CAGC,CTGC").-nb
the maximum number of bootstraps that must be executed. (optional, standard 10000). By the start of a new bootstrap a complete new design is made. The best scored design (most random barcodes and best scored bases distribution is kept as result)-bt
the number of barcode tries. (standard 20) If a random barcode does not fit into the current design try this number of times with a new random barcode before restarting the bootstrap.-o
the output directory (standard current working directory)-us
try to find the ultime match: the best barcode combination with the best bases distribution (standard false) true: continue even when the right number of barcodes is found.-bf
a file with all barcodes that are used as basic set (this file is one of the possible output files)-nf
a file with all barcodes that may not be used in the design. If this file contains barcodes that are also found in the basic set file, these barcodes will be replaced in the design by new random barcodes.
This program demultiplexes fastq or fastq.gz files obtained from sequencing with
inline barcodes.
Like used in GBS, RAD, ... protocols.
These parameters are mandatory:
-f1
the name and path of the fastq or fastq.gz file to demultiplex-i
the name and path of the info file. This is a tab delimeted file without headings, with three columns: sample, sequence of the barcode, name of the enzyme
These parameters are optional:
-
-f2
the name of the second fastq or fastq.gz file (only with paired-end sequencing) -
-o
the name of the output directory (standard the directory of the call) -
-lf
use long file names (standard false) filename is standard the sample name, long file names is sample name _ barcode _ enzyme -
-rad
if the data is rad data or not (-rad true for RAD data, -rad false for GBS data) standard false (GBS) -
-gzip
the input and output are/must be gziped (.gz) (standard false: input and output are .fastq, if true this is .fastq.gz) -
-m
the allowed mismatches in the barcodes + enzymes (standard this value is 1) -
-mb
the allowed mismatches in the barcodes (overrides the option -m) -
-me
the allowed mismatches in the enzymes (overrides the option -m) -
-minsl
the minimum allowed length for the sequences (standard 0, rejected sequences are found in the stats for each sample in the rejected.count column. The sequences are found untrimmed in the undetermined file.) -
-n
keep sequences where N occurs as a "nucleotide" (standard true) -
-ca
the common adaptor used in the sequencing (standard (only first piece) AGATCGGAAGAGCG) currently only used for adaptor ligase see -al and when -rad is true) (minimum length is 10) -
-s
the posible distance of the start. This is the distance count from the start of the read to the first basepair of the barcode or enzyme (standard 0, maximum 20) -
-cc
Checks the complete read for the enzyme (if false, stops at the first possible enzyme cutsite) (use values true or false, standard is true). If used, the sequence after the enzyme site is compared to the adaptors, if the first basepairs of the sequence are compaired to the first basepairs of the adaptor -
-kc
Keep the enzyme cut-site remains (standard true) (example: enzyme ApeKI and restriction site G^CWGC: "ApeKI \tab CAGC,CTGC") -
-ea
Add enzymes from the given file (keeps the standard enzymes, and add the new) (enzyme file: no header, enzyme name tab cutsites (multiple cutsites are comma separeted)) (only use once, not use -er) (example: enzyme ApeKI and restriction site G^CWGC: "ApeKI \tab CAGC,CTGC") -
-er
Replace enzymes from the given file (do not keep the standard enzymes) (enzyme file: no header, enzyme name tab cutsites (multiple cutsites are comma separeted)) (only use once, not use -ea) -
-al
check for adaptor ligase: no (for no check) or a positive integer (starts at 0), for the number of mismatches (only checks 10 basepairs of the adaptor), standard 1 -
-scb
Use self correcting barcodes (barcodes created by the barcodeGenerator) (standard false) -
-malg
the used algorithm to find mismatches and indels, possible algorithms:
*hammings (Standard)
Checks for mismatches (no indels)
*knuth
Faster than hammings, but can miss some locations
*indelmis
Checks for mismatches and indels, the barcode/enzyme/ adaptor with the least errors (mismatches or indels) is taken
*misindel
Checks for mismatches and indels, the mismatches are supperior to the indels (faster than indelmis, but errors can be higher) -
-q
the kind of quality scores used in the fastq file (including how phred scores are encoded):
*Illumina1.8 (Standard)
*Illumina1.5
*Illumina1.3
*Sanger
*Solid
Possible Standard Enzymes for the info file: (NA is no enzyme)
ApeKI
PstI
EcoT22I
PasI
HpaII
MspI
PstI-EcoT22I
PstI-MspI
PstI-TaqI
SbfI-MspI
AsiSI-MspI
BssHII-MspI
FseI-MspI
SalI-MspI
ApoI
BamHI
MseI
Sau3AI
RBSTA
RBSCG
NspI
NAN
This program searches for possible barcodes and barcode enzyme combinations.
Designed for the discovery of sequencing errors, or unused barcodes when a large
proportion of the demultiplex is undetermined.
Mandatory parameters:
-f1
the name of the input file (mandatory)
Optional parameters:-min
the minimum length of the barcode (standard 6)-max
the maximum length of the barcode (standard 10)-gzip
use gzip files as input and output (standard false)-o
the output directory (standard the directory of execution)-ea
Add enzymes from the given file (keeps the standard enzymes, and add the new) (enzyme file: no header, enzyme name tab cutsites (multiple cutsites are comma separeted)) (example: enzyme ApeKI and restriction site G^CWGC: "ApeKI \tab CAGC,CTGC") (only use once, not use -er)-er
Replace enzymes from the given file (do not keep the standard enzymes) (enzyme file: no header, enzyme name tab cutsites (multiple cutsites are comma separeted)) (example: enzyme ApeKI and restriction site G^CWGC: "ApeKI \tab CAGC,CTGC") (only use once, not use -ea)-barmin
The minimum occurance of a barcode before it is shown in the results (standard: 200)-barmax
The maximum occurance of barcodes shown in the output (increasing this number will increase ram usage, but gives a slightly better result) (standard: 100)-barmis
The percentage of mismatches that may occure between barcodes (integer between 1 and 10) (standard: 10)
See the Tutorial file and the example folder.
v1.0
- The original version
v1.0.1
- While demultiplexing, the number of demultiplexed reads are shown for every 100000 reads