Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
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Align short reads using Bowtie2 with local or end-to-end modes. Supports gapped alignment. Use when aligning ChIP-seq, ATAC-seq, or when flexible alignment modes are needed.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Reference examples tested with: 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 DNA reads with Bowtie2" → Map short reads to a reference genome using Bowtie2's end-to-end or local alignment modes.
bowtie2 -x index -1 R1.fq -2 R2.fq | samtools sort -o aligned.bam# Build index from reference FASTA
bowtie2-build reference.fa reference_index
# With threads (faster)
bowtie2-build --threads 8 reference.fa reference_index
# Creates: reference_index.1.bt2, .2.bt2, .3.bt2, .4.bt2, .rev.1.bt2, .rev.2.bt2
# Paired-end reads
bowtie2 -p 8 -x reference_index -1 reads_1.fq.gz -2 reads_2.fq.gz -S aligned.sam
# Single-end reads
bowtie2 -p 8 -x reference_index -U reads.fq.gz -S aligned.sam
# Direct to sorted BAM
bowtie2 -p 8 -x reference_index -1 r1.fq.gz -2 r2.fq.gz | \
samtools sort -@ 4 -o aligned.sorted.bam -
# End-to-end mode (default) - align entire read
bowtie2 --end-to-end -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Local mode - soft-clip ends for better alignment
bowtie2 --local -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Very fast (less sensitive)
bowtie2 --very-fast -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Fast
bowtie2 --fast -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Sensitive (default)
bowtie2 --sensitive -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Very sensitive (slower but more accurate)
bowtie2 --very-sensitive -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Local mode equivalents
bowtie2 --very-sensitive-local -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Typical ChIP-seq settings
bowtie2 -p 8 \
--very-sensitive \
--no-mixed \
--no-discordant \
-x index -1 chip_1.fq.gz -2 chip_2.fq.gz | \
samtools view -bS -q 30 -F 4 - | \
samtools sort -o chip.sorted.bam -
# ATAC-seq with size selection
bowtie2 -p 8 \
--very-sensitive \
-X 2000 \ # Max fragment length
--no-mixed \
--no-discordant \
-x index -1 atac_1.fq.gz -2 atac_2.fq.gz | \
samtools view -bS -q 30 - | \
samtools sort -o atac.sorted.bam -
# Set expected insert size range
bowtie2 -p 8 \
-I 100 \ # Minimum fragment length
-X 500 \ # Maximum fragment length
-x index -1 r1.fq -2 r2.fq -S aligned.sam
# Add read group
bowtie2 -p 8 \
--rg-id sample1 \
--rg SM:sample1 \
--rg PL:ILLUMINA \
--rg LB:lib1 \
-x index -1 r1.fq -2 r2.fq -S aligned.sam
# Report up to k alignments per read
bowtie2 -k 5 -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Report all alignments
bowtie2 -a -x index -1 r1.fq -2 r2.fq -S aligned.sam
# Write unmapped reads to separate files
bowtie2 -p 8 \
--un-conc-gz unmapped_%.fq.gz \
-x index -1 r1.fq.gz -2 r2.fq.gz -S aligned.sam
| Parameter | Default | Description |
|---|---|---|
| -p | 1 | Number of threads |
| -x | - | Index basename |
| -1/-2 | - | Paired-end reads |
| -U | - | Single-end reads |
| -I | 0 | Min fragment length |
| -X | 500 | Max fragment length |
| -k | 1 | Report up to k alignments |
| --no-mixed | off | Suppress unpaired alignments |
| --no-discordant | off | Suppress discordant alignments |
# Bowtie2 prints alignment summary to stderr
bowtie2 -p 8 -x index -1 r1.fq -2 r2.fq -S aligned.sam 2> alignment_stats.txt
Example output:
1000000 reads; of these:
1000000 (100.00%) were paired; of these:
50000 (5.00%) aligned concordantly 0 times
900000 (90.00%) aligned concordantly exactly 1 time
50000 (5.00%) aligned concordantly >1 times
95.00% overall alignment rate
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Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
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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.
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Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.
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ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
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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.
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