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IsoTracks visualises IsoForge long-read RNA-seq results: isoform models, reads with poly(A) tails, RNA modifications, coverage and gene fusions.

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IsoTracks: isoforms, reads, modifications and fusions

IsoTracks

Isoform models, reads with poly(A) tails, RNA modifications, coverage and gene fusions from IsoForge long-read RNA-seq results, one gene per figure.

isotracks plot --gene SAT1 --isoforge results/project --output figures/SAT1
from isotracks import plot_gene

plot_gene("SAT1", isoforge="results/project", output="figures/SAT1")

results/project is the prefix IsoForge was run with (isoforge annotate --write_bam --o results/project). Both write figures/SAT1.pdf and figures/SAT1.png at journal column width. BAM files of your own are added with --bam (BAM files).

An IsoTracks figure

Install · Input · The figure · Isoforms and reads · Views · Fusion transcripts · RNA modifications · Tables · Appearance · Command line · Python API · Development · Citation

Install

pip install isotracks

Python 3.10 or later; matplotlib, numpy, pandas, pyarrow, pysam and scipy are installed with it. From source: pip install git+https://github.com/MustafaElshani/IsoTracks.

Input

An IsoForge run

--isoforge (isoforge=) takes the prefix IsoForge was run with, the run's directory, or any one of its files:

File Used for
<prefix>_isoforge.gtf the transcript models and the gene's position
<prefix>_isoforge_read_annot.parquet (or .tsv) each read's isoform and poly(A) tail length
<prefix>_TSS_TES_Clusters/tss_clusters.bed, tes_clusters.bed transcription start sites and poly(A) sites
<prefix>_isoforge_fusion*.parquet fusion calls, their transcripts and their reads
<prefix>_alignments/*.bam the alignments, when IsoForge kept them (--write_bam)
<prefix>_isoforge_sqanti3.bed coding extent of the models, when IsoForge_Sqanti3 was run

Any of these can be given on its own instead (--annotation-gtf, --read-annot, --tss, --polya, --fusion-table, --bam, --bed); an explicit file takes precedence over the run. Only whole reads of the transcripts IsoForge reports are drawn (cluster_supported in the read table); --read-filter all draws every read.

BAM files

The sorted, indexed BAMs IsoForge was given or kept. Replicates within a condition are pooled into one read stack. From the run, the sample name up to its first underscore is the condition (Control_1, Control_2 → Control), as IsoForge groups them. --bam (bam_files=) names the conditions explicitly:

isotracks plot --gene SAT1 --isoforge results/project \
    --bam "Control:Control_1.bam,Control_2.bam;Treated:Treated_1.bam,Treated_2.bam" \
    --output figures/SAT1
plot_gene("SAT1", isoforge="results/project", output="figures/SAT1",
          bam_files={"Control": ["Control_1.bam", "Control_2.bam"],
                     "Treated": ["Treated_1.bam", "Treated_2.bam"]})

Poly(A) tail lengths are read from the pt tag of the reads, or from the read annotation when the BAM has none.

Optional

Option Adds
--bed (bed_file=) BED12 models with coding extent: CDS is drawn tall and solid, UTRs shorter and hollow. Without it models are drawn from the GTF exons.
--reference-gtf (reference_gtf=) A reference annotation: places genes that are not in the run's GTF, and draws the whole genes of a fusion.
--modkit, --dmr RNA modification tracks.

The figure

Track Shows
poly(A) poly(A) sites at the 3′ ends of the drawn isoforms, with their signal hexamer
TSS transcription start sites at their 5′ ends
read ends density of read 5′ and 3′ ends, in reads per 100 bp
gene the drawn isoforms overlaid in grey, with the gene name and direction of transcription
isoform models one row per isoform
read stacks the reads of each isoform, one stack per condition, with poly(A) tails
modifications modified fraction per site, one row per condition
differential modification change in modified fraction between two sample sets
coverage read depth per condition with splice-junction arcs, on one depth axis
scale bar and axis genomic coordinates, chromosome and strand
  • Every figure reads 5′ to 3′ from left to right. A minus-strand gene is drawn with the axis reversed.
  • Every read stack has the same height. Its read count is in the gutter (n = 373).
  • Coverage is built from the reads of the drawn isoforms. An arc's thickness is the number of reads across it.
  • An exon too narrow to see at the figure's scale is drawn a hairline wide, so none is lost in a long gene.

Isoforms and reads

Option Default Meaning
--min-reads 5 least reads per isoform, summed over conditions
--min-reads-per-condition off least reads per isoform in every condition
--max-isoforms 12 most isoforms drawn, best supported first; 0 for no limit
--max-reads 20,000 most reads drawn per stack; 0 draws all. A thinned stack shows n = 20,000/84,512.
--coverage-reads drawn gene builds coverage from every read of the gene
--sort-style waterfall order of reads within a stack
waterfall: longest tail at the top diamond: longest tail in the middle
Reads ordered longest tail first Reads ordered with the longest tails in the middle

Views

default --detail last_exon
A gene at true scale The same gene with a close-up of its last exon
--introns scaled --introns fixed
Introns shrunk by one factor Introns drawn at one width
--highlight junction_2 3_utr --antisense whole
A junction and a 3′ UTR highlighted COPS6 with MCM7, the gene on the opposite strand, drawn whole below it

Zoom

--zoom last_exon (view.plot(region=view.zoom("last_exon", padding=400))) draws part of the gene: first_exon, last_exon, exon_<N>, 5_prime, 3_prime or whole_gene. Exons are numbered 5′ to 3′. A window reaching the 3′ end is widened to fit the longest poly(A) tail.

A close-up beside the gene

--detail (detail=) draws a region again beside the whole figure, row for row, at true scale: last_exon, exon_<N>, 3_utr, junction_<N>, 3_prime, 5_prime or a range. --detail-share sets the fraction of the width it takes (default 0.4). Depth and read-end density share one scale across both panels.

Shortened introns

--introns scaled shrinks every intron by one factor, so that together they take --intron-share of the width (default 0.3). --introns fixed draws every intron at the same small width. Exons, flanks and poly(A) tails stay at true scale, and each shortened intron is marked with // on the axis.

Highlighting a region

--highlight (highlight=) marks regions with a band through every track:

view.plot(highlight=["junction_2", "3_utr:ENST00000111.1"])
view.plot(highlight=(31_950_000, 31_951_000), highlight_style="outline")
Name Marks
exon_<N>, first_exon, last_exon one exon, numbered 5′ to 3′
intron_<N>, junction_<N> the intron between exon N and exon N+1
5_utr, 3_utr, cds from the coding extent in --bed
chr22:31,950,000-31,951,000, (start, end) that range

A named region is measured on the isoform with the most exons, or on the one given after a colon (exon_2:ENST00000111.1). --highlight-style is both (a faint box with a dotted edge), box or outline.

The opposite strand

--antisense (antisense=True) also draws the genes transcribed from the opposite strand in the window. Each gets a section below the gene's tracks: its gene row, marked with its strand, its isoforms, their reads per condition and its coverage, on a depth scale of its own. Its reads run 3′ to 5′ across the figure, so their poly(A) tails point left. --antisense whole (antisense="whole") widens the window to draw those genes whole.

isotracks plot --gene COPS6 --isoforge results/project --antisense whole --output figures/COPS6

Opposite-strand genes are found in the run's GTF, and their isoforms are selected by the same read thresholds as the gene's.

Fusion transcripts

--fusion draws a fusion called by IsoForge, by its genes or its call ID:

isotracks plot --fusion RIMS2::ATP6V1C1 --isoforge results/project \
    --reference-gtf gencode.gtf --output figures/RIMS2_ATP6V1C1
from isotracks import FusionView

view = FusionView("RIMS2::ATP6V1C1", isoforge="results/project", reference_gtf="gencode.gtf")
view.plot(output="figures/RIMS2_ATP6V1C1")

A fusion: schematic, sites, fusion gene, transcripts and reads

The schematic at the top (--no-fusion-schematic leaves it out) draws each partner gene whole, 5′ to 3′, as its MANE Select isoform, with introns as equal short gaps (not to scale). The fusion's exons are coloured, the rest of the gene is grey, and each breakpoint is marked with its coordinate. Below it, the fused transcript is drawn exons only, to scale in nucleotides, with its length.

The fusion schematic

The panels follow the gene figure, one panel per partner in transcript order:

Row Shows
poly(A), TSS sites at the ends of the fusion transcripts (--polya, --tss, or from --isoforge)
read ends density of the fusion reads' 5′ and 3′ ends, on one scale across the panels
fusion gene the fusion's transcripts overlaid in grey, with an arc and read count over each junction
transcripts one row per fusion transcript, labelled with its IsoForge ID (ISOFORF000000067)
read stacks the reads of each transcript, per condition
  • A dashed line marks each breakpoint through every row.
  • Transcripts and reads are joined across the gap between panels: by an intron line where the junction is on splice sites at both ends, and by a dotted line where it is not.
  • Introns are shortened within each panel (--introns scaled is the default for a fusion).
  • For a fusion of three or more genes, transcripts through every partner are drawn first, then those joining only some. --fusion-reads complete draws only the former.

Input. The fusion tables hold every read, so BAMs are optional: they add the poly(A) tails. Samples are grouped into conditions as for a gene; --conditions "Control:rep1,rep2;Treated:rep3" names the groups without BAMs. Without IsoForge's tables, a fusion is drawn from a line of breakpoints, its reads found in the BAMs. A junction is donor>acceptor, the last base kept upstream and the first kept downstream:

FusionView("RIMS2::ATP6V1C1  chr8::chr8  chr8:103501062>chr8:103062955",
           bam_files=bam_files, reference_gtf="gencode.gtf")

RNA modifications

--modkit: modified fraction per site --dmr: change between sample sets
Modification tracks per condition A differential modification track

Modification tracks are drawn from modkit pileup bedMethyl files in genome coordinates, bgzipped and tabix-indexed, one per replicate:

modkit pileup sample.bam sample.bed --ref genome.fa
bgzip sample.bed && tabix -p bed sample.bed.gz

isotracks plot --gene ACTB --isoforge results/project \
    --modkit "Control:Control_1.bed.gz;Treated:Treated_1.bed.gz" --mods a 17802 \
    --output figures/ACTB

Each lollipop is one site; its height is the modified fraction, from 0 to 100%: reads called modified over reads assessed at that position. Replicates are pooled by summing counts. The gutter reports sites drawn over sites assessed (89/1,933 sites).

Option Default Meaning
--mods a,17802 codes to draw. Codes joined by commas share a track; separate arguments get a track each. At most three per track.
--min-mod-coverage 10 least reads at a site
--min-mod-fraction 0.3 least modified fraction at a site
--mod-regions exons window also draws sites outside the exons of the drawn isoforms
Base Codes
A a (m6A), 17596 (inosine), 69426 (Am)
C m (5mC), 19228 (Cm)
G 19229 (Gm)
U 17802 (pseudouridine), 19227 (Um)

Differential modification

--dmr draws the change in modified fraction per site from a modkit dmr pair site table, sorted, bgzipped and tabix-indexed:

modkit dmr pair -a Control_1.bed.gz -a Control_2.bed.gz -b Treated_1.bed.gz -b Treated_2.bed.gz \
    --ref genome.fa --base A --header -o sites.bed
grep -v '^#' sites.bed | sort -k1,1 -k2,2n | bgzip > sites.bed.gz
tabix -p bed sites.bed.gz

isotracks plot --gene ACTB ... --dmr "Control vs Treated:sites.bed.gz"

The axis runs from −100% to +100%. modkit's effect size is a − b, so a stem pointing up is a site less modified in the second sample set, and a stem pointing down one more modified.

Option Default Meaning
--max-diff-pvalue 0.05 largest p-value drawn
--min-diff-effect 0.2 smallest change in modified fraction drawn
--balanced-diff off use modkit's replicate-balanced effect size and p-value

Tables

Isoform and exon coordinates, 1-based and inclusive, and per-read poly(A) tail lengths:

isotracks info --gene SAT1 --isoforge results/project
isotracks info --gene SAT1 --isoforge results/project --format tsv --exons-table -o exons.tsv
isotracks polya --gene SAT1 --isoforge results/project -o SAT1_polya.csv
view.print_info()        # the report
view.isoform_table()     # one row per isoform: exons, length, span, reads
view.exons()             # one row per exon
view.polya_table()       # gene, transcript_id, condition, sample, read_name, polya_length

Appearance

Option Values
--width single (89 mm), onehalf (120), double (183), slide (254), or millimetres
--readability strict, comfortable (default), large
--roomy taller read, coverage and modification tracks; type size is unchanged
--polya-scale base pairs drawn per nucleotide of poly(A) tail (default 1)
--condition-labels display names, "Ctrl:Control,Trt:Treated"
--condition-colors hex colours, "Control:#9AA5B1,Treated:#1B2A49"
--formats, --dpi output formats (default PDF and PNG) and raster resolution (default 600)

A figure drawn with --roomy

Figures are built at the printed width. Isoform colours are Okabe–Ito. PDF output embeds TrueType fonts and SVG keeps live text.

from isotracks import IsoTracks, Layout, theme

theme.use(width="double", readability="large")
IsoTracks(..., isoform_colors=["#0072B2", "#D55E00"], layout=Layout(read_stack=4.5, coverage=2.0))

Command line

Command Does
isotracks plot draw one gene (--gene), region (--region chr:start-end[:strand]) or fusion (--fusion)
isotracks batch draw one figure per gene from a list (--genes genes.txt --outdir figures)
isotracks info report isoform and exon coordinates
isotracks polya write per-read poly(A) tail lengths as CSV
isotracks index index a TSV read annotation by gene; not needed for Parquet

isotracks <command> --help lists every option.

Python API

from isotracks import IsoTracks

view = IsoTracks(gene_name="SAT1", isoforge="results/project", min_reads_per_condition=5)

view.transcripts()                               # the isoforms drawn
view.plot(output="figures/SAT1")                 # PDF and PNG
view.plot(output="figures/SAT1.svg")             # one format
view.plot(region=view.zoom("last_exon"), sort_style="diamond")
view.plot(detail="last_exon", introns="scaled", highlight="3_utr")

plot_gene(gene, isoforge=..., output=..., **options) builds and draws in one call. examples/ has a script and a notebook. Tracks can also be stacked directly:

from isotracks import Canvas
from isotracks.io import CoverageReader

canvas = Canvas()
canvas.add("TranscriptTrack", file_name="models.bed", label="models")
canvas.add("CoverageTrack", reader=CoverageReader(file_names=["a.bam"]), label="depth")
canvas.add("CoordinateAxisTrack")
canvas.render(region=("chr1", 1_000_000, 1_010_000, "+"))

Development

pip install -e ".[dev]"
pytest

The figures in this README are written by the scripts in docs/: make_examples.py from synthetic data, make_gene_examples.py, make_antisense_example.py and make_fusion_example.py from an IsoForge run, and make_logo.py.

Source layout
src/isotracks/
├── browser.py       IsoTracks, plot_gene: the gene view
├── fusion_view.py   FusionView: the fusion view
├── fusion.py        fusion calls, partners, reads and transcripts
├── isoforge.py      the files of an IsoForge run
├── annotation.py    GTF, read annotation and BED12
├── canvas.py        the figure: tracks in rows, in one or more panels
├── theme.py         widths, type sizes and colours
├── layout.py        track heights
├── cli.py           the isotracks command
├── io/              readers for alignments, features, sites and modifications
└── tracks/          one module per track type

Citation

IsoTracks is a companion tool of IsoForge. The IsoForge manuscript is in preparation. Until it is out, please cite the IsoForge repository:

Elshani M, Zhang Y, Harrison DJ. IsoForge, version 1.0.0. https://github.com/MustafaElshani/IsoForge

License

MIT

About

IsoTracks visualises IsoForge long-read RNA-seq results: isoform models, reads with poly(A) tails, RNA modifications, coverage and gene fusions.

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