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bio-genome-intervals-bed-file-basics

BED file format fundamentals, creation, validation, and basic operations. Covers BED3 through BED12 formats, coordinate systems, sorting, and format conversion using bedtools and pybedtools. Use when working with genomic coordinates or preparing interval files for downstream tools.

personAuthor: jakexiaohubgithub

Version Compatibility

Reference examples tested with: bedtools 2.31+, pybedtools 0.10+, pyranges 0.x (the pyranges1 rewrite ships as a separate package), samtools 1.19+, pandas 2.2+, UCSC liftOver / CrossMap 0.7+ (the bare CrossMap entry point replaced CrossMap.py at 0.7.0).

Before using code patterns, verify installed versions match. If versions differ:

  • CLI: <tool> --version then <tool> --help to confirm flags
  • Python: pip show <package> then help(module.function) to check signatures

pyranges has a major-version API split: pyranges 0.x and the pyranges1 rewrite differ in method names and DataFrame access; both keep Chromosome/Start/End columns and 0-based half-open coordinates. Check import pyranges; pyranges.__version__ before chaining methods. Operations that need chromosome lengths (slop, complement, shuffle, makewindows -g, -sorted ordering) require a genome/chrom.sizes file. If code throws an error, introspect the installed tool and adapt rather than retrying.

BED File Basics

"Work with this interval file without shifting everything by one base" -> Establish the coordinate convention from the format, read/create/validate/sort the intervals, and convert across format boundaries with the correct base shift.

  • CLI: bedtools sort -i in.bed, bedtools getfasta, bedtools makewindows -g genome.txt -w 10000, sort -k1,1 -k2,2n
  • Python: pybedtools.BedTool('in.bed'), pr.read_bed('in.bed') (pyranges), pd.read_csv(sep='\t', comment='#')

The Single Most Important Modern Insight -- A Coordinate Is a Bare Integer With No Self-Describing Convention

A start column is just an int. Nothing in the file says whether it is 0-based or 1-based, so the convention lives in the analyst's head, keyed off the format, not the data. BED is 0-based half-open [start, end); GTF/GFF, SAM, VCF, and wiggle are 1-based fully-closed [start, end]. Three load-bearing consequences:

  1. The conversion is start - 1, end unchanged -- and it throws no error if wrong. A botched convention shift still parses, still runs, and silently shifts every answer by one base: gene bodies 1 bp short, boundary SNPs flipping in/out, exact-edge intersections toggling. The end is numerically identical between BED-half-open and GFF-closed because GFF's last included base and BED's first excluded position are the same boundary. The symmetry instinct (subtract 1 from both) is the classic bug. The reflex: convert start_bed = start_1based - 1 (end unchanged) and test the round-trip on a 1 bp feature -- BED chr1 5 6 == GFF chr1 6 6, both one base. Length is end - start in BED (no +1); end - start + 1 in GTF.

  2. The two truly silent file failures. (a) Chrom-name mismatch (chr1 vs 1, chrM vs MT): intersecting a chr-prefixed file against a bare-numeral one yields a perfectly valid empty result -- "no overlap" looks like biology, not a bug. Confirm shared naming (cut -f1 a.bed | sort -u) before any cross-file op. (b) CRLF line endings from Excel/Windows glue \r onto the last field (end becomes "100\r"); the tell is "works for some tools, breaks for others." cat -A shows ^M$; fix with dos2unix. Never open a BED in Excel -- it date-mangles SEPT9->9-Sep and float-truncates large coordinates.

  3. bedtools -sorted assumes both inputs share the SAME chromosome order. With a lexicographic (chr1, chr10, chr2) vs version (chr1, chr2, chr10) sort mismatch, modern bedtools (>=~2.25) detects the inconsistency and errors out (exit 1, chromomsome sort ordering ... is inconsistent); older versions silently swept past and dropped chr10-chr22. Either sort both files with the identical command, or pass -g genome.txt (derived from the same reference FASTA) to pin the expected order. For one-off work, omit -sorted (the in-memory path tolerates any order). The mismatch that stays SILENT on every version is a chromosome-NAME difference (chr1 vs 1), which returns an empty result with no error.

Tool Taxonomy

| Tool | Role | Mechanism | When | |------|------|-----------|------| | bedtools | CLI interval algebra (Quinlan 2010 Bioinformatics 26:841) | streaming, sorted-input reference implementation | shell pipelines, large files, reproducible one-liners | | pybedtools | Python wrapper over bedtools (Dale 2011 Bioinformatics 27:3423) | shells out per op; BedTool objects + iterators | inside a Python analysis; chaining with pandas | | pyranges | pure-Python interval engine (Stovner 2020 Bioinformatics 36:918) | vectorized PyRanges/pandas, no bedtools binary | large in-memory joins, dataframe-native workflows | | pandas | flat tabular read | read_csv(sep='\t'); knows NO coordinate semantics | quick filter/inspect; the analyst enforces 0-based + sort manually | | UCSC bedToBigBed / tabix | indexed/compressed BED for random access | requires sort -k1,1 -k2,2n, no track lines | browser tracks, region queries on huge files |

Decision Tree by Scenario

| Scenario | Recommended | Why | |----------|-------------|-----| | Quick create/sort/filter on the command line | bedtools + coreutils sort -k1,1 -k2,2n | no Python overhead; reproducible | | Inside a pandas/Python pipeline | pybedtools or pyranges | stays in-process; pyranges if no bedtools binary | | Convert VCF/GTF/SAM positions to BED | subtract 1 from start, end unchanged | the convention boundary; test on a 1 bp feature | | Empty intersect / "no overlap found" | check chrom naming (chr1 vs 1) FIRST | the most common silent null result | | Using -sorted for speed/RAM | sort both files identically, or pass -g genome.txt | modern bedtools errors on a lexicographic-vs-version mismatch; old versions dropped chroms silently | | Need chromosome lengths (slop/complement/windows) | generate genome.txt from the SAME FASTA | a stale/generic chrom.sizes rots slop/complement | | Set operations on these intervals | -> interval-arithmetic | this skill is the format/coordinate substrate | | Parse a GTF/GFF gene model | -> gtf-gff-handling | 1-based, parent/child hierarchy, not a flat BED | | Peaks not yet called | -> chip-seq/peak-calling or atac-seq/atac-peak-calling | this category operates on existing intervals | | Convert between assemblies (hg19<->hg38) | liftOver/CrossMap, report unmapped | a different problem from convention shifts |

BED Columns (BED3 -> BED12)

The first 3 fields are required; the rest are optional but positional (cannot supply field N without 1..N-1), and the field count must be identical on every line.

BED3   chrom  start  end
BED4   + name
BED5   + score (int 0-1000; '.' allowed)
BED6   + strand (+/-/.)            # the common stranded-interval form
BED12  + thickStart thickEnd itemRgb blockCount blockSizes blockStarts   # transcript/exon models

narrowPeak is BED6+4 (signalValue pValue qValue peak); broadPeak is BED6+3 (drops peak). The peak column is a 0-based offset from chromStart (absolute summit = chromStart + peak), -1 if none; pValue/qValue are -log10 scaled with -1 meaning "not assigned", NOT p=0.1.

Create and Read BED Files

import pybedtools
import pandas as pd

intervals = [('chr1', 100, 200, 'peak1', 100, '+'), ('chr1', 300, 400, 'peak2', 200, '-')]
bed = pybedtools.BedTool(intervals)                                       # from list of tuples
bed = pybedtools.BedTool.from_dataframe(pd.read_csv('peaks.tsv', sep='\t'))  # from a DataFrame
bed.saveas('peaks.bed')

for iv in pybedtools.BedTool('peaks.bed'):
    print(iv.chrom, iv.start, iv.end, len(iv))   # start/end are ints; len(iv) == end - start
df = pybedtools.BedTool('peaks.bed').to_dataframe(names=['chrom', 'start', 'end', 'name', 'score', 'strand'])

pandas reads BED as a flat table but knows nothing about coordinates: pd.read_csv('in.bed', sep='\t', header=None, comment='#') -- the analyst enforces 0-based and sorts manually.

Generate the Genome / chrom.sizes File

Goal: Produce the authoritative chromosome-length file that slop, complement, shuffle, makewindows -g, and -sorted ordering depend on.

Approach: Index the exact reference FASTA the rest of the pipeline used and take its first two columns -- never download a generic hg38.chrom.sizes and hope it matches the assembly the BAM was aligned to.

samtools faidx ref.fa
cut -f1,2 ref.fa.fai > genome.txt   # chrom<TAB>size; bedtools reads only the first 2 cols, accepts the .fai directly

Convert Across Format Boundaries

Goal: Move positions between BED and VCF/SAM/GTF/BAM without an off-by-one.

Approach: Subtract 1 from the 1-based start (end unchanged) going TO BED; for BAM, let bedtools do the conversion; verify a known single-base landmark afterwards.

grep -v '^#' in.vcf | awk 'BEGIN{OFS="\t"} {print $1, $2-1, $2}' > variants.bed   # VCF POS (1-based) -> BED; start-1
bedtools bamtobed -i in.bam > alignments.bed                                       # bedtools handles the convention
bedtools bamtobed -i in.bam -split > spliced.bed                                   # split spliced reads into blocks
bedtools getfasta -fi ref.fa -bed in.bed -name -fo out.fa                          # extract sequence (uses the .fai)

Sort, Validate, and Make Windows

bedtools sort -i in.bed > sorted.bed                 # lexicographic, == sort -k1,1 -k2,2n
bedtools sort -i in.bed -faidx names.txt > sorted.bed  # reorder to an arbitrary reference contig order
awk -F'\t' '{print NF}' in.bed | sort -u             # field count consistent? (one value expected)
awk -F'\t' '$2 < 0 || $2 >= $3' in.bed               # negative or inverted intervals (bedtools also errors on these)
cut -f1 in.bed | sort -u                             # chromosome names (compare against the partner file)
bedtools makewindows -g genome.txt -w 10000 -s 5000 -i winnum > windows.bed   # 10 kb sliding windows, step 5 kb, numbered

Cross-Assembly Liftover (a different problem from convention conversion)

Goal: Move coordinates between genome builds (hg19<->hg38, mm10<->mm39) - which is remapping to a different reference, NOT the 0-based/1-based convention shift above.

Approach: Map intervals through a chain file with UCSC liftOver (BED) or CrossMap (BED/VCF/GFF/BAM/bigWig), and ALWAYS inspect the unmapped file - regions that fail to map (assembly gaps, rearrangements, split/merged contigs) are dropped, and silently ignoring them biases everything downstream.

liftOver in.hg19.bed hg19ToHg38.over.chain.gz out.hg38.bed unmapped.bed   # UCSC; chain from UCSC goldenPath
wc -l unmapped.bed                                                         # NEVER skip: dropped regions are not random
CrossMap bed GRCh37_to_GRCh38.chain.gz in.bed > out.bed                    # CrossMap also does vcf/gff/bam/bigwig

A coordinate is meaningless without its assembly just as it is meaningless without its convention - record the build (and the chain provenance) alongside the file. Liftover is many-to-one and one-to-none in places; never assume a 1:1 round-trip.

BED12 Block Invariants

BED12 is a referentially-integral structure, not a flat table. blockStarts are offsets from chromStart, not absolute coordinates; the first blockStart must be 0; blockStarts[last] + blockSizes[last] must equal chromEnd - chromStart; blocks are ascending and non-overlapping. thickStart/thickEnd (the CDS) are absolute and independent of the blocks -- a non-coding feature sets both to chromStart. Validate by reconstructing absolute exon coordinates (chromStart + blockStarts[i]) and confirming they fall inside [chromStart, chromEnd]; bedtools bed12tobed6 explodes a model into per-exon BED6 as a quick sanity reconstruction.

Per-Method Failure Modes

Off-by-one at a convention boundary

Trigger: treating a GTF/VCF 1-based start as a BED chromStart. Mechanism: the convention is not stored in the data. Symptom: every feature 1 bp short; boundary intersections flip; no error. Fix: start - 1, end unchanged; test the round-trip on a 1 bp feature.

Chrom-name mismatch

Trigger: intersecting chr-prefixed against bare-numeral files. Mechanism: chrom strings never match. Symptom: valid empty/zero result presented as biology. Fix: harmonize naming across all files and genome.txt before any cross-file op.

Lexicographic-vs-version sort under -sorted

Trigger: two inputs sorted in different chromosome orders. Mechanism: sweep-line assumes one shared order and concludes chroms passed each other. Symptom: modern bedtools errors out (chromomsome sort ordering ... is inconsistent, exit 1); pre-2.25 silently dropped chr10-chr22 and favored low chroms. Fix: sort both identically or pass -g genome.txt; omit -sorted for one-off work.

CRLF line endings

Trigger: file authored/round-tripped through Windows/Excel. Mechanism: \r glues onto the last field. Symptom: "not an integer" or cryptic last-column errors; works in some tools. Fix: dos2unix or sed 's/\r$//'; never edit BED in Excel.

Stale / generic genome file

Trigger: a downloaded chrom.sizes that does not match the aligned FASTA. Mechanism: missing contigs or wrong lengths. Symptom: slop/complement run off real ends or drop contigs; -sorted order breaks. Fix: regenerate from the exact reference FASTA.

pyranges 0.x idioms on pyranges1

Trigger: running 0.x method/attribute names against the pyranges1 rewrite. Mechanism: the rewrite renamed methods and changed DataFrame access. Symptom: AttributeError. Fix: check pyranges.__version__ and use the matching API.

Quantitative Thresholds

| Threshold | Source | Rationale | |-----------|--------|-----------| | Required minimum 3 columns (BED3) | UCSC/hts-specs BEDv1 | chrom/start/end; field count identical on every line | | BED score integer 0-1000 | UCSC spec | maps to browser gray shade; analysis tools tolerate out-of-range, browser clamps | | narrowPeak/broadPeak -1 in pValue/qValue/peak | ENCODE narrowPeak.as | means "not assigned", NOT a real value (e.g. p=0.1 or summit at offset 0) | | Convention shift: start - 1, end unchanged | BED 0-based vs GFF/VCF 1-based | only the start moves; ends coincide at the shared boundary | | makewindows window/step (e.g. -w 10000 -s 5000) | analysis choice | resolution vs file size; state the size used, do not default silently | | tabix BED needs -p bed (or -0) | tabix default is 1-based | -p bed sets chrom/start/end cols and 0-based interpretation |

Common Errors

| Error / symptom | Cause | Solution | |-----------------|-------|----------| | Empty intersect / "no overlap" | chrom naming mismatch (chr1 vs 1, chrM vs MT) | harmonize naming across all files + genome.txt | | Every feature 1 bp short | converted 1-based->BED without the start-1 (or subtracted from both) | start - 1, end unchanged; verify on a 1 bp feature | | Every coordinate shifted one column right | UCSC MySQL/SELECT * table dump prepends a bin column (hierarchical binning index, Kent 2002) | drop field 1 before feeding bedtools: cut -f2- | | -sorted errors or (old bedtools) favors low chroms | lexicographic vs version sort mismatch | sort both identically or pass -g genome.txt; or drop -sorted | | "not an integer" on the last column | CRLF line endings | dos2unix / sed 's/\r$//' | | Negative start / past-chrom-end after slop | missing or stale genome file | regenerate genome.txt from the aligned FASTA | | bedToBigBed/tabix errors | unsorted input or track lines present | sort -k1,1 -k2,2n; strip track/browser/# lines | | pyranges AttributeError | 0.x vs pyranges1 API mismatch | check pyranges.__version__, use matching method names |

References

  • Quinlan AR, Hall IM. 2010. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26:841-842.
  • Dale RK, Pedersen BS, Quinlan AR. 2011. Pybedtools: a flexible Python library for manipulating genomic datasets and annotations. Bioinformatics 27:3423-3424.
  • Stovner EB, Sætrom P. 2020. PyRanges: efficient comparison of genomic intervals in Python. Bioinformatics 36:918-919.
  • Kent WJ, Sugnet CW, Furey TS, et al. 2002. The Human Genome Browser at UCSC. Genome Res 12:996-1006.
  • The Browser Extensible Data (BED) format, hts-specs BEDv1. samtools.github.io/hts-specs/BEDv1.pdf.
  • UCSC Genome Browser FAQ: Data File Formats. genome.ucsc.edu/FAQ/FAQformat.html.

Related Skills

  • interval-arithmetic - Set operations (intersect/merge/subtract) on the intervals defined here
  • gtf-gff-handling - 1-based annotation parsing and the parent/child gene-model hierarchy
  • coverage-analysis - Per-base depth that becomes bedGraph intervals
  • alignment-files/sam-bam-basics - BAM-to-BED conversion and the SAM-1-based vs BAM-0-based distinction
  • variant-calling/vcf-basics - VCF POS (1-based) to BED conversion and indel left-anchoring