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283 changes: 283 additions & 0 deletions tests/solo_cellranger_flags.rs
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//! Each CellRanger-matching solo flag has to change the count matrix.
//!
//! Issue #172 measured two of them doing nothing at all while still being
//! accepted, which is the worst shape a flag can have: the run succeeds and
//! the numbers are someone else's. The existing CellRanger test cannot see
//! that, because its fixture has three non-zero matrix entries and none of the
//! populations these flags act on.
//!
//! These fixtures are built so that a flag *must* move a count: a UMI shared
//! between two genes with tied read support (which `MultiGeneUMI_CR` gives to
//! nobody), and a barcode carrying an `N` (which the `Nbase` match types
//! decide the fate of). If a flag goes inert again, a count changes here.

use assert_cmd::cargo::cargo_bin_cmd;
use std::collections::HashMap;
use std::fs;
use std::io::Write;
use std::path::{Path, PathBuf};
use tempfile::TempDir;

const CB: &str = "AAAACCCCGGGGTTTT";
const DECOY_CB: &str = "TTTTGGGGCCCCAAAA";
/// Two genes, far enough apart that no read spans both.
const G1: (usize, usize) = (2_000, 2_600);
const G2: (usize, usize) = (8_000, 8_600);
const READ_LEN: usize = 60;

fn lcg_seq(seed: u32, length: usize) -> Vec<u8> {
let bases: [u8; 4] = *b"ACGT";
let mut state = seed;
let mut seq = Vec::with_capacity(length);
for _ in 0..length {
state = state.wrapping_mul(1_103_515_245).wrapping_add(12345);
seq.push(bases[((state >> 16) & 3) as usize]);
}
seq
}

fn write_fixture(dir: &Path) -> (PathBuf, PathBuf) {
let genome = lcg_seq(88888, 20_000);
let fasta = dir.join("genome.fa");
let mut f = fs::File::create(&fasta).unwrap();
writeln!(f, ">chr1").unwrap();
f.write_all(&genome).unwrap();
writeln!(f).unwrap();

let gtf = dir.join("genes.gtf");
let mut g = fs::File::create(&gtf).unwrap();
for (name, (s, e)) in [("G1", G1), ("G2", G2)] {
writeln!(
g,
"chr1\tsyn\texon\t{}\t{}\t.\t+\t.\tgene_id \"{name}\"; transcript_id \"{name}_T1\";",
s + 1,
e
)
.unwrap();
}
(fasta, gtf)
}

fn build_index(fasta: &Path, gtf: &Path, genome_dir: &Path) {
fs::create_dir_all(genome_dir).unwrap();
cargo_bin_cmd!("rustar-aligner")
.args([
"--runMode",
"genomeGenerate",
"--genomeDir",
genome_dir.to_str().unwrap(),
"--genomeFastaFiles",
fasta.to_str().unwrap(),
"--genomeSAindexNbases",
"7",
"--sjdbGTFfile",
gtf.to_str().unwrap(),
"--sjdbOverhang",
"59",
])
.assert()
.success();
}

/// Reads for one cell: `plan` gives (gene start, barcode, UMI, read count).
fn write_reads(dir: &Path, plan: &[(usize, String, &str, usize)]) {
let genome = lcg_seq(88888, 20_000);
let mut cf = fs::File::create(dir.join("cdna.fq")).unwrap();
let mut bf = fs::File::create(dir.join("barcode.fq")).unwrap();
let mut i = 0usize;
for (gene_start, cb, umi, n) in plan {
for k in 0..*n {
// Stagger the start so the reads are not identical duplicates.
let start = gene_start + 20 + (k % 5) * 7;
writeln!(cf, "@read{i}").unwrap();
cf.write_all(&genome[start..start + READ_LEN]).unwrap();
writeln!(cf, "\n+\n{}", "I".repeat(READ_LEN)).unwrap();
writeln!(
bf,
"@read{i}\n{cb}{umi}\n+\n{}",
"I".repeat(cb.len() + umi.len())
)
.unwrap();
i += 1;
}
}
let mut wf = fs::File::create(dir.join("whitelist.txt")).unwrap();
writeln!(wf, "{CB}").unwrap();
writeln!(wf, "{DECOY_CB}").unwrap();
}

/// Run solo and return `gene_name -> count` from the raw matrix.
fn run_solo(
dir: &Path,
genome_dir: &Path,
gtf: &Path,
tag: &str,
extra: &[&str],
) -> HashMap<String, u64> {
let out = dir.join(format!("out_{tag}"));
fs::create_dir_all(&out).unwrap();
let prefix = format!("{}/", out.display());

let mut cmd = cargo_bin_cmd!("rustar-aligner");
cmd.args([
"--runMode",
"alignReads",
"--genomeDir",
genome_dir.to_str().unwrap(),
"--readFilesIn",
dir.join("cdna.fq").to_str().unwrap(),
dir.join("barcode.fq").to_str().unwrap(),
"--soloType",
"CB_UMI_Simple",
"--soloCBwhitelist",
dir.join("whitelist.txt").to_str().unwrap(),
"--soloCBstart",
"1",
"--soloCBlen",
"16",
"--soloUMIstart",
"17",
"--soloUMIlen",
"10",
"--soloFeatures",
"Gene",
"--sjdbGTFfile",
gtf.to_str().unwrap(),
"--outFileNamePrefix",
&prefix,
]);
cmd.args(extra);
cmd.assert().success();

let raw = out.join("Solo.out/Gene/raw");
let features: Vec<String> = fs::read_to_string(raw.join("features.tsv"))
.unwrap()
.lines()
.map(|l| l.split('\t').next().unwrap_or("").to_string())
.collect();

let mut counts: HashMap<String, u64> = HashMap::new();
for line in fs::read_to_string(raw.join("matrix.mtx"))
.unwrap()
.lines()
.skip(3)
{
let f: Vec<&str> = line.split_whitespace().collect();
if f.len() < 3 {
continue;
}
let gene = f[0].parse::<usize>().unwrap() - 1;
let count = f[2].parse::<u64>().unwrap();
*counts.entry(features[gene].clone()).or_insert(0) += count;
}
counts
}

#[test]
fn multi_gene_umi_cr_removes_a_tied_umi_from_the_matrix() {
let dir = TempDir::new().unwrap();
let root = dir.path();
let (fasta, gtf) = write_fixture(root);
let genome_dir = root.join("genome");
build_index(&fasta, &gtf, &genome_dir);

// One UMI shared between both genes with equal read support (STAR gives a
// tie to nobody), plus one clean UMI per gene so the matrix is not empty
// once the tied one is dropped.
let shared = "ACGTACGTAC";
let only1 = "TGCATGCATG";
let only2 = "GGTTCCAAGG";
write_reads(
root,
&[
(G1.0, CB.to_string(), shared, 3),
(G2.0, CB.to_string(), shared, 3),
(G1.0, CB.to_string(), only1, 2),
(G2.0, CB.to_string(), only2, 2),
],
);

let plain = run_solo(root, &genome_dir, &gtf, "plain", &[]);
let cr = run_solo(
root,
&genome_dir,
&gtf,
"cr",
&[
"--soloUMIfiltering",
"MultiGeneUMI_CR",
"--soloUMIdedup",
"1MM_CR",
],
);

let plain_total: u64 = plain.values().sum();
let cr_total: u64 = cr.values().sum();
assert!(
plain_total > 0,
"the fixture has to produce counts at all: {plain:?}"
);
assert!(
cr_total < plain_total,
"--soloUMIfiltering MultiGeneUMI_CR must drop the tied multi-gene UMI: \
{plain_total} without it, {cr_total} with it ({plain:?} vs {cr:?})"
);
// Precisely: the tied UMI is the only multi-gene one, so it is the only
// molecule that disappears, from each of the two genes.
assert_eq!(
plain_total - cr_total,
2,
"exactly the tied UMI's two molecules should go: {plain:?} vs {cr:?}"
);
}

#[test]
fn an_n_containing_barcode_is_decided_by_the_cb_match_type() {
let dir = TempDir::new().unwrap();
let root = dir.path();
let (fasta, gtf) = write_fixture(root);
let genome_dir = root.join("genome");
build_index(&fasta, &gtf, &genome_dir);

// Half the reads carry a barcode with an `N` one substitution from the
// whitelist entry; `Exact` cannot place them, the 1MM types can. The two
// halves carry *different* UMIs on purpose: with a shared UMI a rescued
// read would fold into the molecule the clean read already contributes,
// and the totals would agree whether or not the flag did anything.
let n_cb = format!("{}N{}", &CB[..8], &CB[9..]);
write_reads(
root,
&[
(G1.0, CB.to_string(), "ACGTACGTAC", 4),
(G1.0, n_cb, "TGCATGCATG", 4),
],
);

let exact = run_solo(
root,
&genome_dir,
&gtf,
"exact",
&["--soloCBmatchWLtype", "Exact"],
);
let onemm = run_solo(
root,
&genome_dir,
&gtf,
"1mm",
&["--soloCBmatchWLtype", "1MM_multi_Nbase_pseudocounts"],
);

let exact_total: u64 = exact.values().sum();
let onemm_total: u64 = onemm.values().sum();
println!("Exact total {exact_total}, 1MM_multi_Nbase_pseudocounts total {onemm_total}");
assert!(
onemm_total > exact_total,
"an N-containing barcode cannot be placed by Exact but can be by the \
1MM types: Exact {exact_total}, 1MM_multi_Nbase_pseudocounts {onemm_total}"
);
assert!(
exact_total > 0,
"the exact-barcode half of the fixture must still count: {exact:?}"
);
}
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