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---
name: bio-reference-operations
description: Generate consensus sequences and manage reference files using samtools. Use when creating consensus from alignments, indexing references, or creating sequence dictionaries.
tool_type: cli
primary_tool: samtools
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
- read_file
- run_shell_command
---
# Reference Operations
Generate consensus sequences and manage reference files using samtools.
## samtools faidx - Index Reference FASTA
Create index for random access to reference sequences.
### Create Index
```bash
samtools faidx reference.fa
# Creates reference.fa.fai
```
### Fetch Region from Reference
```bash
samtools faidx reference.fa chr1:1000-2000
```
### Fetch Multiple Regions
```bash
samtools faidx reference.fa chr1:1000-2000 chr2:3000-4000
```
### Fetch Entire Chromosome
```bash
samtools faidx reference.fa chr1
```
### Output to File
```bash
samtools faidx reference.fa chr1:1000-2000 > region.fa
```
### Reverse Complement
```bash
samtools faidx -i reference.fa chr1:1000-2000
```
### FAI File Format
```
chr1 248956422 6 60 61
chr2 242193529 253404903 60 61
```
Columns: name, length, offset, line bases, line width
## samtools dict - Create Sequence Dictionary
Create SAM header dictionary for reference (used by GATK, Picard).
### Create Dictionary
```bash
samtools dict reference.fa -o reference.dict
```
### With Assembly Info
```bash
samtools dict -a GRCh38 -s "Homo sapiens" reference.fa -o reference.dict
```
### Dictionary Format
```
@HD VN:1.6 SO:unsorted
@SQ SN:chr1 LN:248956422 M5:6aef897c3d6ff0c78aff06ac189178dd UR:file:reference.fa
@SQ SN:chr2 LN:242193529 M5:f98db672eb0993dcfdabafe2a882905c UR:file:reference.fa
```
## samtools consensus - Generate Consensus
Create consensus sequence from alignments.
### Basic Consensus
```bash
samtools consensus input.bam -o consensus.fa
```
### From Specific Region
```bash
samtools consensus -r chr1:1000-2000 input.bam -o region_consensus.fa
```
### Output Formats
```bash
# FASTA (default)
samtools consensus -f fasta input.bam -o consensus.fa
# FASTQ (includes quality)
samtools consensus -f fastq input.bam -o consensus.fq
```
### Quality Options
```bash
# Minimum depth to call base
samtools consensus -d 5 input.bam -o consensus.fa
# Call all positions (including low coverage)
samtools consensus -a input.bam -o consensus.fa
```
### Ambiguity Handling
```bash
# Use IUPAC codes for heterozygous positions
samtools consensus --show-ins no --show-del no input.bam -o consensus.fa
```
## pysam Python Alternative
### Fetch from Indexed FASTA
```python
import pysam
with pysam.FastaFile('reference.fa') as ref:
seq = ref.fetch('chr1', 999, 2000) # 0-based
print(seq)
```
### Get Reference Lengths
```python
with pysam.FastaFile('reference.fa') as ref:
for name in ref.references:
length = ref.get_reference_length(name)
print(f'{name}: {length:,} bp')
```
### Fetch All Chromosomes
```python
with pysam.FastaFile('reference.fa') as ref:
for chrom in ref.references:
seq = ref.fetch(chrom)
print(f'>{chrom}')
print(seq[:100] + '...')
```
### Generate Simple Consensus
```python
import pysam
from collections import Counter
def consensus_at_position(bam, chrom, pos):
bases = Counter()
for pileup in bam.pileup(chrom, pos, pos + 1, truncate=True):
if pileup.pos == pos:
for read in pileup.pileups:
if not read.is_del and not read.is_refskip:
bases[read.alignment.query_sequence[read.query_position]] += 1
if bases:
return bases.most_common(1)[0][0]
return 'N'
with pysam.AlignmentFile('input.bam', 'rb') as bam:
consensus = consensus_at_position(bam, 'chr1', 1000000)
print(f'Consensus at chr1:1000000 = {consensus}')
```
### Build Consensus Sequence
```python
import pysam
from collections import Counter
def build_consensus(bam_path, chrom, start, end, min_depth=3):
consensus = []
with pysam.AlignmentFile(bam_path, 'rb') as bam:
for pileup in bam.pileup(chrom, start, end, truncate=True):
bases = Counter()
for read in pileup.pileups:
if not read.is_del and not read.is_refskip:
base = read.alignment.query_sequence[read.query_position]
bases[base] += 1
if sum(bases.values()) >= min_depth:
consensus.append(bases.most_common(1)[0][0])
else:
consensus.append('N')
return ''.join(consensus)
seq = build_consensus('input.bam', 'chr1', 1000, 2000, min_depth=5)
print(f'>{chrom}:{start}-{end}')
print(seq)
```
### Create Dictionary Header
```python
import pysam
def create_dict_header(fasta_path):
header = {'HD': {'VN': '1.6', 'SO': 'unsorted'}, 'SQ': []}
with pysam.FastaFile(fasta_path) as ref:
for name in ref.references:
length = ref.get_reference_length(name)
header['SQ'].append({'SN': name, 'LN': length})
return header
header = create_dict_header('reference.fa')
for sq in header['SQ'][:5]:
print(f'{sq["SN"]}: {sq["LN"]:,} bp')
```
## Reference Preparation Workflow
### Prepare Reference for Analysis
```bash
# 1. Index FASTA for samtools/pysam
samtools faidx reference.fa
# 2. Create sequence dictionary for GATK/Picard
samtools dict reference.fa -o reference.dict
# 3. Index for BWA
bwa index reference.fa
# 4. Index for Bowtie2
bowtie2-build reference.fa reference
```
### Check Reference Setup
```bash
# Verify FAI exists
ls -la reference.fa.fai
# Verify dict exists
head reference.dict
# Test fetch
samtools faidx reference.fa chr1:1-100
```
## Common Operations
### Extract Chromosome
```bash
samtools faidx reference.fa chr1 > chr1.fa
samtools faidx chr1.fa # Index the subset
```
### Get Chromosome Sizes
```bash
cut -f1,2 reference.fa.fai > chrom.sizes
```
### Subset Reference
```bash
samtools faidx reference.fa chr1 chr2 chr3 > subset.fa
samtools faidx subset.fa
```
### Compare Consensus to Reference
```bash
# Generate consensus
samtools consensus input.bam -o consensus.fa
# Align consensus back to reference
minimap2 -a reference.fa consensus.fa > comparison.sam
```
## Quick Reference
| Task | Command |
|------|---------|
| Index FASTA | `samtools faidx ref.fa` |
| Fetch region | `samtools faidx ref.fa chr1:1-1000` |
| Create dict | `samtools dict ref.fa -o ref.dict` |
| Build consensus | `samtools consensus in.bam -o out.fa` |
| Chrom sizes | `cut -f1,2 ref.fa.fai` |
## Related Skills
- sam-bam-basics - Reference required for CRAM
- alignment-indexing - faidx for reference access
- pileup-generation - Pileup for consensus building
- variant-calling - bcftools consensus from VCF
- sequence-io/read-sequences - Parse FASTA with Biopython
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