Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Bisulfite sequencing read alignment using Bismark with bowtie2/hisat2. Handles genome preparation and produces BAM files with methylation information. Use when aligning WGBS, RRBS, or other bisulfite-converted sequencing reads to a reference genome.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Reference examples tested with: Bowtie2 2.5.3+, HISAT2 2.2.1+, Trim Galore 0.6.10+, samtools 1.19+
Before using code patterns, verify installed versions match. If versions differ:
<tool> --version then <tool> --help to confirm flagsIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
"Align my bisulfite sequencing reads" → Map WGBS/RRBS reads to an in-silico bisulfite-converted reference genome, producing BAM files with methylation context tags.
bismark_genome_preparation genome/ then bismark --genome genome/ reads.fq.gz# One-time genome preparation (creates bisulfite-converted index)
bismark_genome_preparation --bowtie2 /path/to/genome_folder/
# Genome folder should contain FASTA files (e.g., hg38.fa, chr1.fa, etc.)
# Creates Bisulfite_Genome/ subdirectory with CT and GA converted indices
bismark --genome /path/to/genome_folder/ reads.fastq.gz -o output_dir/
bismark --genome /path/to/genome_folder/ \
-1 reads_R1.fastq.gz \
-2 reads_R2.fastq.gz \
-o output_dir/
bismark --genome /path/to/genome_folder/ \
--bowtie2 \ # Use bowtie2 (default)
--parallel 4 \ # Number of parallel instances
--temp_dir /tmp/ \ # Temporary directory
--non_directional \ # For non-directional libraries
--nucleotide_coverage \ # Generate nucleotide coverage report
-o output_dir/ \
reads.fastq.gz
# Reduced Representation Bisulfite Sequencing
bismark --genome /path/to/genome_folder/ \
--pbat \ # For PBAT libraries (post-bisulfite adapter tagging)
reads.fastq.gz
# MspI digestion (RRBS standard)
# Bismark handles MspI-digested libraries automatically
# Post-Bisulfite Adapter Tagging (e.g., scBS-seq)
bismark --genome /path/to/genome_folder/ --pbat reads.fastq.gz
# For libraries where all 4 strands are present
bismark --genome /path/to/genome_folder/ --non_directional reads.fastq.gz
# Trim adapters first with Trim Galore (recommended)
trim_galore --illumina --paired reads_R1.fastq.gz reads_R2.fastq.gz
# Then align
bismark --genome /path/to/genome_folder/ \
-1 reads_R1_val_1.fq.gz \
-2 reads_R2_val_2.fq.gz
# --parallel sets instances per alignment direction
# Total threads = parallel * 2 (for directional) or parallel * 4 (non-directional)
bismark --genome /path/to/genome_folder/ \
--parallel 4 \
reads.fastq.gz
# Bismark produces:
# - reads_bismark_bt2.bam # Aligned reads
# - reads_bismark_bt2_SE_report.txt # Alignment report
# View alignment report
cat output_dir/reads_bismark_bt2_SE_report.txt
# Bismark output is unsorted
samtools sort output.bam -o output.sorted.bam
samtools index output.sorted.bam
# Remove PCR duplicates (recommended for WGBS, not RRBS)
deduplicate_bismark --bam output_bismark_bt2.bam
# For paired-end
deduplicate_bismark --paired --bam output_bismark_bt2_pe.bam
# Bismark generates detailed report
cat *_SE_report.txt
# Key metrics:
# - Sequences analyzed
# - Unique alignments
# - Mapping efficiency
# - C methylated in CpG context
# HISAT2 is faster and uses less memory for large mammalian genomes
bismark_genome_preparation --hisat2 /path/to/genome_folder/
# Align with HISAT2
bismark --genome /path/to/genome_folder/ --hisat2 reads.fastq.gz
# HISAT2 paired-end
bismark --genome /path/to/genome_folder/ --hisat2 \
-1 reads_R1.fastq.gz \
-2 reads_R2.fastq.gz
| Parameter | Description |
|---|---|
| --genome | Path to genome folder |
| --bowtie2 | Use Bowtie2 aligner (default) |
| --hisat2 | Use HISAT2 aligner |
| --parallel | Parallel alignment instances |
| --non_directional | Non-directional library |
| --pbat | PBAT library protocol |
| -o | Output directory |
| --temp_dir | Temporary file directory |
| --nucleotide_coverage | Generate nuc coverage report |
| -N | Mismatches in seed (0 or 1, default 0) |
| -L | Seed length (default 20) |
| Type | Parameter | Description |
|---|---|---|
| Directional | (default) | Standard WGBS/RRBS |
| Non-directional | --non_directional | All 4 strands |
| PBAT | --pbat | Post-bisulfite adapter tagging |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
日本語の概要は準備中です。原文の説明を表示しています。
AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.
日本語の概要は準備中です。原文の説明を表示しています。
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
日本語の概要は準備中です。原文の説明を表示しています。
End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
日本語の概要は準備中です。原文の説明を表示しています。