Question
encode.atac.pipeline.q1.R1.fq.gz and encode.atac.pipeline.q1.R2.fq.gz are paired-end ATAC-seq reads from a human sample. Process them through the ENCODE ATAC-seq pipeline v2.2.3 (https://github.com/ENCODE-DCC/atac-seq-pipeline/tree/v2.2.3). Keep the input json similar to https://github.com/ENCODE-DCC/atac-seq-pipeline/blob/v2.2.3/example_input_json/ENCSR356KRQ_subsampled.json, but remove the atac.enable_xcor line. After the pipeline completes, report the reproducibility IDR N_opt number from the qc.json file.
- Inferred answer
29556Uniquely inferred from submitted scores.
- Domain
- Epigenomics
- Question style
- Tooling
An answer can be uniquely inferred for 54 of 100 questions from submitted scores. Green: correct · Red: incorrect. For questions without a uniquely determined answer: Blue: matches prediction · Orange: differs from prediction. These are inferred answer checks, not official per-question grades.
Galaxy
12/12 terminal item results
UDT = user-defined tool: custom code executed by Galaxy. Route badges summarize analysis tools, excluding uploads and automatic conversions. How usage is counted.
Codex GPT-5.5
3 replicates
Codex GPT-5.5
Replicate 1
IncorrectUDT-only
Answer13636
WorkflowENCODE ATAC 2.2.3 runtime probe→ENCODE ATAC 2.2.3 runtime details→ENCODE ATAC 2.2.3 Caper probe→ENCODE ATAC 2.2.3 Caper probe capture→ENCODE ATAC 2.2.3 Caper probe fixed→10 more tools
- Total tokens
- 4.8M
- Output
- 28.6K
Codex GPT-5.5
Replicate 2
RerunIncorrectUDT-only
Answer13636
WorkflowENCODE ATAC 2.2.3 runtime probe→ENCODE ATAC 2.2.3 repository probe→ENCODE ATAC v2.2.3 q1 full pipeline→ENCODE ATAC v2.2.3 q1 staged reference→ENCODE ATAC v2.2.3 q1 staged reference corrected TSV→2 more tools
- Total tokens
- 6.5M
- Output
- 30.5K
Codex GPT-5.5
Replicate 3
RerunCorrectUDT-only
Answer29556
WorkflowENCODE ATAC 2.2.3 container probe→ENCODE ATAC 2.2.3 layout probe→ENCODE ATAC-seq pipeline v2.2.3 full run
- Total tokens
- 5.3M
- Output
- 28.0K
Codex GPT-5.6 Sol
3 replicates
Codex GPT-5.6 Sol
Replicate 1
CorrectUDT-only
Answer29556
WorkflowBowtie2→ENCODE ATAC 2.2.3 Caper probe→ENCODE ATAC-seq pipeline v2.2.3
- Total tokens
- 38.4M
- Output
- 32.9K
Codex GPT-5.6 Sol
Replicate 2
IncorrectUDT-only
Answer13636
WorkflowENCODE ATAC-seq v2.2.3 q1→ENCODE ATAC-seq v2.2.3 q1 corrected validator→ENCODE ATAC-seq v2.2.3 q1 Java 11→ENCODE ATAC-seq v2.2.3 q1 Python 3.6 compatible
- Total tokens
- 14.9M
- Output
- 28.5K
Codex GPT-5.6 Sol
Replicate 3
IncorrectUDT-only
Answer13636
WorkflowInspect ENCODE ATAC 2.2.3 runtime→Bowtie2→Samtools→Bedtools→Probe Caper 2.3.2 in ENCODE ATAC 2.2.3 v5→3 more tools
- Total tokens
- 37.5M
- Output
- 33.9K
Codex + DeepSeek-v4-pro-0813
3 replicates
Codex + DeepSeek-v4-pro-0813
Replicate 1
CorrectUDT-only
Answer29556
WorkflowATAC image probe→ATAC image ls→ATAC install probe→ATAC net find probe→ATAC caper install probe→19 more tools
- Total tokens
- 26.9M
- Output
- 75.1K
Codex + DeepSeek-v4-pro-0813
Replicate 2
IncorrectUDT-only
Answer13636
WorkflowCaper Probe→Caper Probe v2→Caper Probe v3→Env Probe→Caper User Probe→5 more tools
- Total tokens
- 16.8M
- Output
- 62.4K
Codex + DeepSeek-v4-pro-0813
Replicate 3
IncorrectUDT-only
Answer13653
WorkflowBowtie2→Samtools→Bedtools→ENCODE ATAC Image Probe 2→ENCODE ATAC Image Probe 3→36 more tools
Codex GPT-5.6 Luna
3 replicates
Codex GPT-5.6 Luna
Replicate 1
RerunIncorrectUDT-only
Answer13636
WorkflowUser-defined tool
- Total tokens
- 48.7M
- Output
- 91.2K
Codex GPT-5.6 Luna
Replicate 2
IncorrectUDT + standard tools
Answer13636
WorkflowENCODE ATAC runtime probe→Cat1→ENCODE ATAC Caper 2.2.3 Probe→ENCODE ATAC Caper Import Probe→ENCODE ATAC Pinned Caper Probe→11 more tools
- Total tokens
- 26.2M
- Output
- 117.2K
Codex GPT-5.6 Luna
Replicate 3
IncorrectUDT-only
Answer13636
WorkflowENCODE ATAC 2.2.3 runtime probe→ENCODE ATAC 2.2.3 runtime probe v2→ENCODE ATAC 2.2.3 runtime probe v3→ENCODE ATAC 2.2.3 runtime probe v4→ENCODE ATAC 2.2.3 runtime probe v5→18 more tools
- Total tokens
- 36.4M
- Output
- 106.7K