IWC benchmark item

wf_007_vgp_mitogenome_assembly

Mitogenome Assembly VGP0

Mitochondrial genome assembly of Eutresis hypereia

Input library

Complete PacBio HiFi library ERR12833637: 1,841,855 reads, 18.33 billion bases; compressed FASTQ 4.97 GB.

ENA input record · Previous dataset results

Reference workflow

5 tool steps across 3 unique tools, including tools inside nested subworkflows. A plus sign denotes parallel branches.

Workflow
Compose text parameter value + MitoHiFiMitoHiFiCompress file(s)

Complete query

The full task shown to the agent, excluding execution-condition instructions.

Assemble the complete mitochondrial genome of `Eutresis hypereia` from the provided PacBio HiFi reads.

Write the assembled mitochondrial nucleotide sequence to `final_answer/mitogenome.fasta.gz` as a gzip-compressed FASTA containing exactly one non-empty, nonredundant sequence record.

acc evaluator

acc compares the final output files with the reference outputs.

Metric
canonical_kmer_f1
Definition

Compare the 31-base DNA fragments in the submitted assembly with the reference, treating opposite DNA strands as equivalent and counting repeated fragments by their number of occurrences. Precision measures how much of the submitted sequence matches; recall measures how much of the reference is covered. F1 combines the two. Missing or extra sequence lowers the score.

Formula
Final scoreS = F1(M, C, R)

Canonical 31-mer multiplicities are the matching units.

Multiset matchM = Σ_k min(n_C(k), n_R(k)); C = Σ_k n_C(k); R = Σ_k n_R(k)

Each k is the lexicographically canonical form of a 31-mer and its reverse complement.

Record constraintnumber of nonempty FASTA records = 1

This is a validity requirement evaluated before the k-mer score.

Analysis stages

The run records show the assembly, candidate-selection and final-file stages. The reported acc score evaluates the submitted mitochondrial sequence.

  1. Step 1Use the PacBio HiFi reads to produce one or more mitochondrial assembly candidates.
    • A successful assembly or equivalent read-derived reconstruction used the provided PacBio HiFi reads.
    • One or more mitochondrial candidate contigs/sequences were produced from that execution.
  2. Step 2Identify and resolve one complete, nonredundant mitochondrial sequence, including checks for competing contigs, redundant ends, and completeness.
    • Competing mitochondrial candidate contigs were compared or ruled out.
    • Circular/redundant terminal overlap was checked and removed without duplicating sequence.
    • Completeness was assessed using length, expected mitochondrial features, read support, or an equivalently defensible check.
    • Exactly one complete nonredundant sequence was selected from the read-derived candidates.
  3. Step 3Write exactly one nonempty mitochondrial FASTA record and gzip it.
    • The gzip file is readable and contains exactly one nonempty FASTA record.
    • The record is the sequence selected in step 2 and passes final-answer checks.

Model results and score explanations

17 assemblies differed from the reference under the original scoring rule. Their explanations below report the measured DNA-fragment differences. Each replicate shows its recorded workflow, acc and Hugging Face trace. Galaxy histories can be imported by link but are not published in Galaxy's public history listing.

GPT-5.5

Open-ended code

R1acc
0.989
Recorded workflow
Input read qcDeterministic read subsample 5pctCandidate seed support screenCandidate seed high identity rerankMitochondrial read cloud selectionMitochondrial read cloud extraction8 more steps
All 14 recorded steps
  1. Input read qc
  2. Deterministic read subsample 5pct
  3. Candidate seed support screen
  4. Candidate seed high identity rerank
  5. Mitochondrial read cloud selection
  6. Mitochondrial read cloud extraction
  7. Mitochondrial read cloud downsample 3000
  8. Draft tandem repeat circularization
  9. Draft self alignment for circularity
  10. Extract circular period candidate
  11. Read cloud mapping and consensus polish — SAMtools
  12. Final circular consensus validation — SAMtools
  13. Final deliverable write
  14. Final deliverable validation

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.
R2acc
0.989
Recorded workflow
High copy read selectionStrict high copy read selectionTop scoring read subsetMitochondrial like read filter — Filter rowsCandidate consensus and subset validation — SAMtoolsFull input validation — SAMtoolsFinal packaging and acceptance validation
All 7 recorded steps
  1. High copy read selection
  2. Strict high copy read selection
  3. Top scoring read subset
  4. Mitochondrial like read filter — Filter rows
  5. Candidate consensus and subset validation — SAMtools
  6. Full input validation — SAMtools
  7. Final packaging and acceptance validation

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,041 matching fragment occurrences; 15,206 in the submitted assembly and 15,206 in the reference. Precision=0.989149, recall=0.989149.
R3acc
0.000
Recorded workflow
Seed extractionAll reads to seed alignmentMitochondrial read selectionMitochondrial read fastq export — Filter rowsSelected reads seed polishing — SAMtoolsRotated circular polishing validation — SAMtools2 more steps
All 8 recorded steps
  1. Seed extraction
  2. All reads to seed alignment
  3. Mitochondrial read selection
  4. Mitochondrial read fastq export — Filter rows
  5. Selected reads seed polishing — SAMtools
  6. Rotated circular polishing validation — SAMtools
  7. Input read inventory — Table transformation
  8. Final deliverables

Score explanation

Unmatched mitochondrial sequence The submitted sequence shares no 31-base DNA fragments with the reference mitochondrial assembly. Evidence. 0 matching fragment occurrences; 16,556 in the submitted assembly and 15,206 in the reference. Precision=0.000000, recall=0.000000.

Galaxy-API code

R1acc
0.924
Recorded workflow
MitoHiFi ×3
All 3 recorded steps
  1. MitoHiFi
  2. MitoHiFi
  3. MitoHiFi

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 14,046 matching fragment occurrences; 15,187 in the submitted assembly and 15,206 in the reference. Precision=0.924870, recall=0.923714.
R2acc
0.989
Recorded workflow
MitoHiFi ×2
All 2 recorded steps
  1. MitoHiFi
  2. MitoHiFi

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,034 matching fragment occurrences; 15,209 in the submitted assembly and 15,206 in the reference. Precision=0.988494, recall=0.988689.

GPT-5.6 Sol

Open-ended code

R1acc
0.989
Recorded workflow
Assembly strategy selectionCompile depth enrichmentInput qcSampled kmer depth enrichmentMitochondrial read candidate selection — Table transformationCandidate de novo assembly hifiasm3 more steps
All 9 recorded steps
  1. Assembly strategy selection
  2. Compile depth enrichment
  3. Input qc
  4. Sampled kmer depth enrichment
  5. Mitochondrial read candidate selection — Table transformation
  6. Candidate de novo assembly hifiasm
  7. Whole run read mapping — SAMtools
  8. Circularity and consensus validation — SAMtools
  9. Final output packaging and validation

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.
R2acc
0.989
Recorded workflow
User environment repairInput qcDiscovery assemblyDiscovery graph parse v2Discovery contig mappingCandidate selection10 more steps
All 16 recorded steps
  1. User environment repair
  2. Input qc
  3. Discovery assembly
  4. Discovery graph parse v2
  5. Discovery contig mapping
  6. Candidate selection
  7. Candidate copy extraction v2
  8. Mitochondrial orf sanity check
  9. Full read mapping v2
  10. Supporting read extraction
  11. Circular junction validation
  12. Rotated consensus validation — SAMtools
  13. Final packaging
  14. Final validation
  15. Method metadata update
  16. Final validation v2

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.
R3acc
0.990
Recorded workflow
Input inventoryFastq characterizationHigh copy screenFull read recruitment — Filter rowsDistant reference baitMitochondrial read recruitment5 more steps
All 11 recorded steps
  1. Input inventory
  2. Fastq characterization
  3. High copy screen
  4. Full read recruitment — Filter rows
  5. Distant reference bait
  6. Mitochondrial read recruitment
  7. Sample only mitochondrial confirmation
  8. Mitochondrial assembly
  9. Orientation polishing and validation — SAMtools
  10. Final deliverable creation
  11. Final audit

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,056 matching fragment occurrences; 15,209 in the submitted assembly and 15,206 in the reference. Precision=0.989940, recall=0.990135.

Galaxy-API code

R2acc
1.000
Recorded workflow
HifiasmGfastats ×2Converter Gz To UncompressedMinimap2SAMtoolsGfastats16 more steps
All 31 recorded steps
  1. Hifiasm
  2. Gfastats
  3. Gfastats
  4. Converter Gz To Uncompressed
  5. Minimap2
  6. SAMtools
  7. Gfastats
  8. Gfa To Fa
  9. Minimap2
  10. SAMtools
  11. SAMtools
  12. SAMtools
  13. Datamash Ops
  14. Gfa To Fa
  15. Minimap2
  16. SAMtools
  17. Add A Column1
  18. Tp Sort Header Tool
  19. Gfastats
  20. Gfa To Fa
  21. Gfastats
  22. Gfastats
  23. Filter rows
  24. Filter rows
  25. Filter rows
  26. Filter rows
  27. Emboss: Getorf42
  28. Grep1
  29. Grep1
  30. MitoHiFi
  31. MitoHiFi
R3acc
1.000
Recorded workflow
Data retrieval ×4MitoHiFiMITOS2
All 6 recorded steps
  1. Data retrieval
  2. Data retrieval
  3. Data retrieval
  4. Data retrieval
  5. MitoHiFi
  6. MITOS2

GPT-5.6 Luna

Open-ended code

R1acc
0.989
Recorded workflow
Input read qcLow gc enrichmentLow gc subsampleLow gc subsample seed42Hifiasm primary assembly seed42Gfa to fasta8 more steps
All 14 recorded steps
  1. Input read qc
  2. Low gc enrichment
  3. Low gc subsample
  4. Low gc subsample seed42
  5. Hifiasm primary assembly seed42
  6. Gfa to fasta
  7. Candidate self alignment
  8. Collapse redundant circularized contig
  9. Full sample paf validation
  10. Full sample bam mapping and coverage — SAMtools
  11. Samtools bayesian consensus
  12. Independent hifiasm reassembly seed123
  13. Independent circular sequence comparison
  14. Final fasta validation and compression

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.
R2acc
0.989
Recorded workflow
Bait extractionBait mappingMitochondrial read alignment — SAMtoolsAll vs all layoutDiscovery sampleSample kmer count12 more steps
All 18 recorded steps
  1. Bait extraction
  2. Bait mapping
  3. Mitochondrial read alignment — SAMtools
  4. All vs all layout
  5. Discovery sample
  6. Sample kmer count
  7. Kmer histogram and dump
  8. Mitochondrial component graph
  9. Mitochondrial seed selection
  10. Circular kmer path
  11. Full input draft mapping
  12. Full input read recruitment
  13. Draft read alignment — SAMtools
  14. Consensus polishing — SAMtools
  15. Circular overlap trim — SAMtools
  16. Final read backed validation — SAMtools
  17. Final fasta generation
  18. Methods metadata

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.
R3acc
0.989
Recorded workflow
Dataset inspectionRead characterizationMitochondrial seed subsamplingKmer count seedSeed kmer paf mappingCandidate extraction14 more steps
All 20 recorded steps
  1. Dataset inspection
  2. Read characterization
  3. Mitochondrial seed subsampling
  4. Kmer count seed
  5. Seed kmer paf mapping
  6. Candidate extraction
  7. Mt read recovery — Filter rows
  8. Kmer graph component partition
  9. Targeted hifiasm circular assembly
  10. Gfa sequence conversion
  11. Circular target doubling
  12. Raw unitig hq read mapping
  13. Flye target polishing
  14. Circular hq paf validation
  15. High quality bam generation — SAMtools
  16. Validation read subsampling
  17. Validation subset alignment — SAMtools
  18. Validation subset consensus — SAMtools
  19. Final deliverable write
  20. Final deliverable validation

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.

Galaxy-API code

R1acc
0.989
Recorded workflow
Data retrieval ×2MitoHiFi ×2
All 4 recorded steps
  1. Data retrieval
  2. Data retrieval
  3. MitoHiFi
  4. MitoHiFi

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,034 matching fragment occurrences; 15,209 in the submitted assembly and 15,206 in the reference. Precision=0.988494, recall=0.988689.
R3acc
0.986
Recorded workflow
MitoHiFi ×2
All 2 recorded steps
  1. MitoHiFi
  2. MitoHiFi

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 14,996 matching fragment occurrences; 15,205 in the submitted assembly and 15,206 in the reference. Precision=0.986255, recall=0.986190.

Codex + DeepSeek V4 Pro

Open-ended code

R1acc
0.989
Recorded workflow
Download reference baitSelect mitochondrial reads — SAMtoolsExploratory hifiasm assembly 5k readsPatch flye managers for isolated environmentFlye assembly successfulValidate final assembly — SAMtoolsPackage final deliverables
All 7 recorded steps
  1. Download reference bait
  2. Select mitochondrial reads — SAMtools
  3. Exploratory hifiasm assembly 5k reads
  4. Patch flye managers for isolated environment
  5. Flye assembly successful
  6. Validate final assembly — SAMtools
  7. Package final deliverables

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.
R2acc
0.991
Recorded workflow
Reference bait retrievalRead statisticsMitochondrial read extraction — SAMtoolsDownsample mitochondrial readsFlye draft assemblyReference guided consensus — SAMtools4 more steps
All 10 recorded steps
  1. Reference bait retrieval
  2. Read statistics
  3. Mitochondrial read extraction — SAMtools
  4. Downsample mitochondrial reads
  5. Flye draft assembly
  6. Reference guided consensus — SAMtools
  7. De novo cross check — SAMtools
  8. Final consensus repair
  9. Circular aware validation — SAMtools
  10. Write final deliverables

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,070 matching fragment occurrences; 15,213 in the submitted assembly and 15,206 in the reference. Precision=0.990600, recall=0.991056.
R3acc
0.989
Recorded workflow
Download reference sequencesMap reads to ithomiini mitogenomesMap reads to eutresis cox1Select mitochondrial readsExtract mitochondrial readsDownsample long mitochondrial reads4 more steps
All 10 recorded steps
  1. Download reference sequences
  2. Map reads to ithomiini mitogenomes
  3. Map reads to eutresis cox1
  4. Select mitochondrial reads
  5. Extract mitochondrial reads
  6. Downsample long mitochondrial reads
  7. Hifiasm assemble subset
  8. Collapse tandem duplicate to unit
  9. Validate unit by read mapping — SAMtools
  10. Write final fasta gz

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,045 matching fragment occurrences; 15,210 in the submitted assembly and 15,206 in the reference. Precision=0.989152, recall=0.989412.

Galaxy-API code

R2acc
0.989
Recorded workflow
MitoHiFi ×2
All 2 recorded steps
  1. MitoHiFi
  2. MitoHiFi

Score explanation

Sequence differences from the reference The submitted assembly and the reference have different 31-base DNA fragment content; this directly reduces the original F1 score. Evidence. 15,034 matching fragment occurrences; 15,209 in the submitted assembly and 15,206 in the reference. Precision=0.988494, recall=0.988689.

wf007 · ERR12833637: tokens and cost

Three-run totals for the same input library in each condition. The ratio is Galaxy-API code tokens divided by Open-ended code tokens. Costs are API-equivalent estimates.

ModelOpen-ended code tokensGalaxy-API code tokensGalaxy / Open-endedOpen-ended code costGalaxy-API code cost
GPT-5.58.9M6.8M0.761×$20.57$18.92
GPT-5.6 Sol25.1M37.9M1.509×$28.49$40.33
GPT-5.6 Luna60.0M32.7M0.545×$3.42$1.96
Codex + DeepSeek V4 Pro51.0M6.7M0.132×$1.67$0.37

Download all 24 run usage records

Recompute the saved scores and token totals