quarTeT: Telomere-to-telomere Toolkit
This page is mainly same as github readme.
However, this page updated not as frequently as on github.
quarTeT is a collection of tools for T2T genome assembly and basic analysis in automatic workflow.
Task include:
- AssemblyMapper : reference-guided genome assembly
- GapFiller : long-reads based gap filling
- TeloExplorer : telomere identification
- CentroMiner : centromere candidate prediction
Getting Started
Dependencies
- Python3 (>3.6, tested on 3.7.4 and 3.9.12)
- Minimap2 (tested on 2.24-r1122 and 2.24-r1155-dirty)
- MUMmer4 (tested on 4.0.0rc1)
- trf (tested on 4.09)
- CD-hit (tested on 4.6 and 4.8.1)
- BLAST+ (tested on 2.8.1 and 2.11.0)
- tidk (tested on 0.2.1 and 0.2.31)
- gnuplot (tested on 4.6 patchlevel 2 and 6)
- R (>3.5.0, tested on 3.6.0 and 4.2.2)
- RIdeogram (tested on 0.2.2)
Installation
- Download quarTeT
- Extract files by tar -xf {path}/quartet.tar.gz
- Run python3 {path}/quartet.py to start.
Usage
quarTeT: Telomere-to-telomere Toolkit
Usage: python3 quartet.py <module> <parameters>
Modules:
AssemblyMapper | am | Assemble draft genome. |
GapFiller | gf | Fill gaps in draft genome. |
TeloExplorer | te | Identify telomeres. |
CentroMiner | cm | Identify centromere candidates. |
Use <module> -h for module usage.
AssemblyMapper
AssemblyMapper is a reference-guided assemble tool.
A phased contig-level assembly and a close-related reference genome are required as input, both in fasta format.
Note that contigs should be phased.
It's recommended to obtain such an assembly using hifiasm .
You can convert {prefix}.bp.hap1.p_ctg.gfa and {prefix}.bp.hap2.p_ctg.gfa generated by hifiasm to FASTA format as input, separately.
Usage: python3 quartet.py AssemblyMapper <parameters>
-h, --help | show this help message and exit |
-r REFERENCE_GENOME | (*Required) Reference genome file, FASTA format. |
-q CONTIGS | (*Required) phased contigs file, FASTA format. |
-c MIN_CONTIG_LENGTH | Contigs shorter than INT (bp) will be removed, default: 50000 |
-l MIN_ALIGNMENT_LENGTH | The min alignment length to be select (bp), default: 10000 |
-i MIN_ALIGNMENT_IDENTITY | The min alignment identity to be select (%), default: 90 |
-p PREFIX | The prefix used on generated files, default: quarTeT |
-t THREADS | Use number of threads, default: 1 |
-a {minimap2,mummer} | Specify alignment program (support minimap2 and mummer), default: minimap2 |
--plot | Plot a colinearity graph for draft genome to reference alignments. (will cost more time) |
--overwrite | Overwrite existing alignment file instead of reuse. |
--minimapoption MINIMAPOPTION | Pass additional parameters to minimap2 program, default: -x asm5 |
--nucmeroption NUCMEROPTION | Pass additional parameters to nucmer program. |
--deltafilteroption DELTAFILTEROPTION | Pass additional parameters to delta-filter program. |
Output files should be as follow:
{prefix}.draftgenome.fasta | The pseudo-chromosome-level assembly, fasta format. |
{prefix}.draftgenome.agp | The structure of this assembly, AGP format. |
{prefix}.draftgenome.stat | The statistic of this assembly, including total size and each chromosome's size, GC content, gap count and locations. |
{prefix}.draftgenome.png | The figure draws relative length of chromosomes and gap locations for assembly. |
{prefix}.contig.mapinfo | The statistic of input contigs, including total mapped and discarded size, and each contig's destination. |
{prefix}.contig_map_ref.png | The alignment colinearity graph between contigs and reference genome. |
{prefix}.draftgenome_map_ref.png | The alignment colinearity graph between this assembly genome and reference genome. Only available with --plot. |
GapFiller
GapFiller is a long-reads based gapfilling tool.
A gap-tied genome and corresponding long-reads are required as input, both in fasta format.
If possible, using long-reads assembled and polished contigs instead of reads may improve the quality.
Usage: python3 quartet.py GapFiller <parameters>
-h, --help | show this help message and exit |
-d DRAFT_GENOME | (*Required) Draft genome file to be filled, FASTA format. |
-g GAPCLOSER_CONTIG [GAPCLOSER_CONTIG ...] | (*Required) All contigs files (accept multiple file) used to fill gaps, FASTA format. |
-f FLANKING_LEN | The flanking seq length of gap used to anchor (bp), default: 5000 |
-l MIN_ALIGNMENT_LENGTH | The min alignment length to be select (bp), default: 1000 |
-i MIN_ALIGNMENT_IDENTITY | The min alignment identity to be select (%), default: 40 |
-m MAX_FILLING_LEN | The max sequence length acceptable to fill any gaps, default: 1000000 |
-p PREFIX | The prefix used on generated files, default: quarTeT |
-t THREADS | Use number of threads, default: 1 |
--overwrite | Overwrite existing alignment file instead of reuse. |
--minimapoption MINIMAPOPTION | Pass additional parameters to minimap2 program, default: -x asm5 |
Output files should be as follow:
{prefix}.genome.filled.fasta | The gap-filled genome, fasta format. |
{prefix}.genome.filled.detail | Detailed information for each gap, including gap closed and remains, total filled size and closer's ID, range, etc. |
{prefix}.genome.filled.stat | The statistic of filled genome, including total size and each chromosome's size, GC content, gap count and locations. |
{prefix}.genome.filled.png | The figure draws relative length of chromosomes and gap locations for assembly. |
TeloExplorer
TeloExplorer is a telomere identification tool.
A genome file in fasta format is required as input.
Usage: python3 quartet.py TeloExplorer <parameters>
-h, --help | show this help message and exit |
-i GENOME | (*Required) Genome file to be identified, FASTA format. |
-c {plant,animal,other} | Specify clade of this genome. Plant will search TTTAGGG, animal will search TTAGGG, other will use tidk explore's suggestion, default: other |
-m MIN_REPEAT_TIMES | The min repeat times to be reported, default: 100 |
-p PREFIX | The prefix used on generated files, default: quarTeT |
Output files should be as follow:
{prefix}.telo.info | The statistic of telomere, including monomer, repeat times on both end of each chromosome. |
{prefix}.telo.png | The figure draws telomere location, alongside relative length of chromosomes and gap locations for assembly. |
CentroMiner
CentroMiner is a centromere prediction tool.
A genome file in fasta format is required as input.
Optionally, an addition input of TE annotation (or just LTR annotation) in gff3 format can improve the performance.
It's recommended to obtain TE annotation using EDTA.
{genome file}.mod.EDTA.TEanno.gff3 generated by EDTA can directly feed CentroMiner, unless you have sequence ID longer than 15 characters.
Note that the sequence ID in first column should be consistent with in genome. Some tools may change sequence ID if ID is too long.
The sequence ontology in the third column should include "LTR" to be recognized.
Usage: python3 quartet.py CentroMiner <parameters>
-h, --help | show this help message and exit |
-i GENOME_FASTA | (*Required) Genome file, FASTA format. |
--TE TE | TE annotation file, gff3 format. |
-n MIN_PERIOD | Min period to be consider as centromere repeat monomer. Default: 100 |
-m MAX_PERIOD | Max period to be consider as centromere repeat monomer. Default: 200 |
-s CLUSTER_IDENTITY | Min identity between TR monomers to be clustered (Cannot be smaller than 0.8). Default: 0.8 |
-d CLUSTER_MAX_DELTA | Max period delta for TR monomers in a cluster. Default: 10 |
-e EVALUE | E-value threholds in blast. Default: 0.00001 |
-g MAX_GAP | Max allowed gap size between two tandem repeats to be considered as in one tandem repeat region. Default: 50000 |
-l MIN_LENGTH | Min size of tandem repeat region to be selected as candidate. Default: 100000 |
-t THREADS | Limit number of using threads, default: 1 |
-p PREFIX | Prefix used by generated files. Default: quarTeT |
--trf [TRF_PARAMETER ...] | Change TRF parameters: <match> <mismatch> <delta> <PM> <PI> <minscore> Default: 2 7 7 80 10 50 |
--overwrite | Overwrite existing trf dat file instead of reuse. |
Output files should be as follow:
{prefix}.best.candidate | The best centromere candidate on each chromosome, and corresponding monomers. |
{prefix}.centro.png | The figure draws best centromere candidate location, alongside relative length of chromosomes and gap locations for assembly. |
candidate/ | The folder of all centromere candidates. Check here if the best candidate doesn't look well. |
TRfasta/ | The folder of all tandem repeat monomers identified by trf and cluster result on each chromosome. |
TRgff3/ | The folder of all tandem repeat hit by BLAST on each chromosome, in gff3 format. |