Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific genomic regions.
Resources
2Install
npx skillscat add gptomics/bioskills/bio-alignment-indexing Install via the SkillsCat registry.
Version Compatibility
Reference examples tested with: pysam 0.22+, samtools 1.19+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures - CLI:
<tool> --versionthen<tool> --helpto confirm flags
If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.
Alignment Indexing
Create indices for random access to alignment files using samtools and pysam.
"Index a BAM file" → Create a .bai/.csi index enabling random access to genomic regions.
- CLI:
samtools index file.bam - Python:
pysam.index('file.bam')
Index Types
| Index | Extension | Use Case |
|---|---|---|
| BAI | .bai |
Standard BAM index, chromosomes < 512 Mbp |
| CSI | .csi |
Large chromosomes, custom bin sizes |
| CRAI | .crai |
CRAM index |
samtools index
Create BAI Index
samtools index input.bam
# Creates input.bam.baiCreate CSI Index
samtools index -c input.bam
# Creates input.bam.csiSpecify Output Name
samtools index input.bam output.baiMulti-threaded Indexing
samtools index -@ 4 input.bamIndex CRAM
samtools index input.cram
# Creates input.cram.craiIndex Requirements
Indexing requires coordinate-sorted files:
# Check sort order
samtools view -H input.bam | grep "^@HD"
# Should show SO:coordinate
# Sort if needed, then index
samtools sort -o sorted.bam input.bam
samtools index sorted.bamUsing Indices for Region Access
Goal: Extract reads overlapping specific genomic coordinates from an indexed BAM.
Approach: With the index present, samtools view or pysam.fetch() can jump directly to the relevant file offset instead of scanning the entire file.
samtools view with Region
# Requires index file present
samtools view input.bam chr1:1000000-2000000Multiple Regions
samtools view input.bam chr1:1000-2000 chr2:3000-4000Regions from BED File
samtools view -L regions.bed input.bampysam Python Alternative
Create Index
import pysam
pysam.index('input.bam')
# Creates input.bam.baiCreate CSI Index
pysam.index('input.bam', 'input.bam.csi', csi=True)Fetch with Index
with pysam.AlignmentFile('input.bam', 'rb') as bam:
# fetch() requires index
for read in bam.fetch('chr1', 1000000, 2000000):
print(read.query_name)Check if Indexed
import pysam
from pathlib import Path
def is_indexed(bam_path):
bam_path = Path(bam_path)
return (bam_path.with_suffix('.bam.bai').exists() or
Path(str(bam_path) + '.bai').exists() or
bam_path.with_suffix('.bam.csi').exists())
if not is_indexed('input.bam'):
pysam.index('input.bam')Fetch Multiple Regions
regions = [('chr1', 1000, 2000), ('chr1', 5000, 6000), ('chr2', 1000, 2000)]
with pysam.AlignmentFile('input.bam', 'rb') as bam:
for chrom, start, end in regions:
count = sum(1 for _ in bam.fetch(chrom, start, end))
print(f'{chrom}:{start}-{end}: {count} reads')Count Reads in Region
with pysam.AlignmentFile('input.bam', 'rb') as bam:
count = bam.count('chr1', 1000000, 2000000)
print(f'Reads in region: {count}')Get Reads Covering Position
with pysam.AlignmentFile('input.bam', 'rb') as bam:
for read in bam.fetch('chr1', 1000000, 1000001):
if read.reference_start <= 1000000 < read.reference_end:
print(f'{read.query_name} covers position 1000000')Index File Locations
samtools looks for indices in two locations:
input.bam.bai # Standard location
input.bai # Alternative locationFor CRAM:
input.cram.craiidxstats - Index Statistics
Get Per-Chromosome Counts
samtools idxstats input.bamOutput format:
chr1 248956422 5000000 0
chr2 242193529 4500000 0
* 0 0 10000Columns: reference name, length, mapped reads, unmapped reads
Sum Total Mapped Reads
samtools idxstats input.bam | awk '{sum += $3} END {print sum}'pysam idxstats
with pysam.AlignmentFile('input.bam', 'rb') as bam:
for stat in bam.get_index_statistics():
print(f'{stat.contig}: {stat.mapped} mapped, {stat.unmapped} unmapped')FASTA Index (faidx)
Related but different - index reference FASTA for random access:
samtools faidx reference.fa
# Creates reference.fa.fai
# Fetch region from indexed FASTA
samtools faidx reference.fa chr1:1000-2000pysam FastaFile
with pysam.FastaFile('reference.fa') as ref:
seq = ref.fetch('chr1', 1000, 2000)
print(seq)Quick Reference
| Task | samtools | pysam |
|---|---|---|
| Create BAI | samtools index file.bam |
pysam.index('file.bam') |
| Create CSI | samtools index -c file.bam |
pysam.index('file.bam', csi=True) |
| Fetch region | samtools view file.bam chr1:1-1000 |
bam.fetch('chr1', 0, 1000) |
| Count in region | samtools view -c file.bam chr1:1-1000 |
bam.count('chr1', 0, 1000) |
| Index stats | samtools idxstats file.bam |
bam.get_index_statistics() |
| Index FASTA | samtools faidx ref.fa |
Automatic with FastaFile |
Common Errors
| Error | Cause | Solution |
|---|---|---|
random alignment retrieval only works for indexed BAM |
Missing index | Run samtools index file.bam |
file is not sorted |
Unsorted BAM | Sort first with samtools sort |
chromosome not found |
Wrong chromosome name | Check names with samtools view -H |
Related Skills
- sam-bam-basics - View and convert alignment files
- alignment-sorting - Sort BAM files (required before indexing)
- alignment-filtering - Filter by regions using index
- bam-statistics - Use idxstats for quick counts
- sequence-io/read-sequences - Index FASTA with SeqIO.index_db()