跳到正文
cccskills
免费在 GitHub 公开

bio-alignment-amplicon-clipping

Trim PCR primers from aligned reads in amplicon-panel BAMs using samtools ampliconclip. Use when processing SARS-CoV-2 ARTIC, hereditary cancer panels, ctDNA hot-spot panels, or any amplicon assay where primer-derived bases would falsely confirm reference at primer footprints.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(3)

  • SKILL.md8.8 KB
  • examples/ampliconclip_workflow.sh1.8 KB
  • usage-guide.md4.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Version Compatibility

Reference examples tested with: samtools 1.19+, pysam 0.22+

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

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

"Trim primer-derived bases from amplicon BAM" -> Soft- or hard-clip the 5' primer footprint after alignment using a primer BED, then repair fixmate/MD/NM tags.

  • CLI: samtools ampliconclip -b primers.bed input.bam -o clipped.bam (since samtools 1.11)
  • Alternative: iVar trim, BAMClipper, fgbio ClipBam

Why Primer Trimming After Alignment

Amplicon panels (SARS-CoV-2 ARTIC, hereditary cancer panels, ctDNA hot-spot panels, fusion panels, 16S rRNA) use designed PCR primers for enrichment. Primer-derived bases at read 5' ends do NOT reflect biological sequence -- they reflect the primer template. Without trimming:

  • False reference confirmation at primer footprint positions.
  • Variant allele frequency suppressed at variants under primers (the primer sequence cannot capture the variant base).
  • Strand bias artifacts (primers are typically one-strand).

Standard amplicon BAMs should NEVER be processed by samtools markdup -- by design every read at a primer location is a "duplicate" by coordinate. See duplicate-handling for the assay-aware decision.

Tool Selection

ToolWhenNotes
samtools ampliconclipDefault for amplicon panels (since 1.11)Soft- or hard-clip from BED; modifies CIGAR; invalidates MD/NM
iVar trimIllumina SARS-CoV-2 / PrimalSeq route (Andersen lab)Coordinates by primer name/position; soft-clips only + quality sliding-window
BAMClipperCapture / hybrid panels with primer overlap5'-end clipping with overlap handling
fgbio ClipBamWhen read-pair coordination mattersSoft/hard-clip with mate-aware end adjustment
cutadapt (pre-alignment)Legacy / when alignment is downstreamTrims at FASTQ stage; less precise for amplicon

Soft-Clip vs Hard-Clip

Goal: Decide whether trimmed bases are kept in the BAM (reversible) or discarded (irreversible).

Approach: Soft-clip is the safe default; hard-clip only when archiving and disk is constrained.

ModeFlagWhat it doesReversible?
Soft-clip(default) / --soft-clipBases kept in SEQ; CIGAR uses S; bases not alignedYes (CIGAR can be re-extended)
Hard-clip--hard-clipBases removed from SEQ; CIGAR uses HNo (bases lost)

Soft-clip is the recommended default. Hard-clip is irreversible -- once applied, the trimmed bases cannot be recovered for re-analysis with different primer coordinates.

Basic ampliconclip Workflow

Goal: Trim primers from a coordinate-sorted, indexed amplicon BAM and produce a downstream-ready BAM.

Approach: Run ampliconclip with primer BED, choosing either --strand (5' strand-aware) or --both-ends (read-through amplicons; note --both-ends overrides --strand), then re-fixmate (CIGAR changed) and re-calmd (MD/NM tags invalidated by clip).

# 1. Soft-clip primers (default; reversible). --strand clips only the designed strand.
samtools ampliconclip --strand --soft-clip \
    -b primers.bed input.bam -o clipped.bam

# 2. Re-pair tags (CIGARs changed -- mate info needs refresh)
samtools sort -n clipped.bam | \
    samtools fixmate -m - - | \
    samtools sort -o sorted.bam -

# 3. Repair MD/NM tags (invalidated by clip; required by mpileup BAQ and IGV)
samtools calmd -b sorted.bam reference.fa > clipped_final.bam
samtools index clipped_final.bam

Strand-Aware Clipping

--strand clips primer bases only on the strand the primer is designed for. Without --strand, both strands are clipped at the primer site, removing valid biological sequence on the off-strand.

Both-End Clipping

--both-ends allows clipping at both 5' and 3' positions of the read (some primers can appear at either end after alignment). Necessary for amplicon designs where reads can read through the entire amplicon. When --both-ends is set, --strand is ignored -- primer sites at both ends are clipped regardless of the BED strand column:

samtools ampliconclip --both-ends --soft-clip -b primers.bed input.bam -o clipped.bam

Primer BED Format

# tab-separated, 0-based half-open like all BED
chr1   100   125   primer_1_F    +
chr1   500   525   primer_1_R    -
chr1   600   625   primer_2_F    +
chr1   1000  1025  primer_2_R    -

Tools that consume the BED: column 1-3 (region), column 6 (strand) is required for --strand. ARTIC primer schemes ship pre-built BEDs (e.g., primer.bed from artic-network/primer-schemes).

SARS-CoV-2 ARTIC Comparison

ToolApproachWhen
samtools ampliconclipSoft-clip from BED, post-alignmentGeneral amplicon panels; modern ARTIC workflows
iVar trimSoft-clip with primer-position parsing + quality trimnf-core/viralrecon; Illumina PrimalSeq route (Andersen lab)

Note: the ARTIC network's own nanopore field-bioinformatics pipeline (artic minion) trims primers with its align_trim tool, not iVar; iVar (Grubaugh et al. 2019, Genome Biol 20:8) is the Illumina/PrimalSeq route. Modern viral consensus pipelines tend to use ampliconclip then samtools consensus --config hiseq --ambig (Illumina preset) for IUPAC heterozygote handling. See reference-operations for consensus generation.

After Clipping: Required Re-Processing

Clipping invalidates several tags and CIGAR-derived fields:

FieldImpactRepair
CIGARNew S or H operations addedAutomatic from ampliconclip
MD:ZMismatch positions now wrongsamtools calmd -b in.bam ref.fa
NM:iEdit distance recomputedsamtools calmd
TLENTemplate length changes when both mates clippedsamtools fixmate -m
ms, MC:ZMate score (lowercase per SAMtags) / mate CIGARsamtools fixmate -m

A clipped BAM that bypasses fixmate + calmd causes silent failures in bcftools mpileup BAQ (which depends on MD), IGV mismatch coloring, and any tool using NM for filtering.

Why Not Markdup

Amplicon reads at primer locations are by design coordinate-degenerate -- every read mapped to the same amplicon shares the same start/end coordinates because they all come from the same primer pair. samtools markdup would mark essentially every read as a duplicate and erase the dataset. For amplicon panels:

  • WITHOUT UMIs: skip dedup entirely; rely on coverage uniformity from amplicon design.
  • WITH UMIs (deep panels): use fgbio GroupReadsByUmi -> CallMolecularConsensusReads instead of markdup. See duplicate-handling.

Common Errors

ErrorCauseSolution
MD tag mismatch after clippingcalmd not runRun samtools calmd -b clipped.bam ref.fa
Variant calls with strand bias at every amplicon endForgot --strandRe-run with strand-aware clipping
Markdup output shows ~100% duplicatesAmplicon BAM was processed with markdupRestart from raw alignment; use ampliconclip; skip markdup
Unexpected reference confirmation at primer-overlapping variantsampliconclip not runRun before variant calling

Quick Reference

TaskCommand
Soft-clip primers (strand-aware)samtools ampliconclip --strand -b primers.bed in.bam -o clipped.bam
Soft-clip primers (read-through amplicons)samtools ampliconclip --both-ends -b primers.bed in.bam -o clipped.bam
Hard-clip (irreversible)samtools ampliconclip --strand --hard-clip -b primers.bed in.bam -o clipped.bam
Repair MD/NM after clipsamtools calmd -b clipped.bam ref.fa > final.bam
Repair mate infosamtools sort -n - | samtools fixmate -m - - | samtools sort -o out.bam -

Related Skills

  • duplicate-handling - Why amplicon BAMs should not be markdup'd; UMI-aware alternatives
  • alignment-filtering - Post-clip filtering for amplicon variant calling
  • alignment-sorting - Re-sort after fixmate
  • pileup-generation - mpileup flags for amplicon (-aa -A -d 600000 -B)
  • reference-operations - Consensus generation from amplicon BAMs (samtools consensus)
  • read-qc/quality-reports - Pre-alignment adapter/quality trimming

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.

中文简介正在准备中。当前显示原文说明。

lilinji/GeneTind-Life-Skills162026年8月21日 更新

adaptyv

免费

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

中文简介正在准备中。当前显示原文说明。

lilinji/GeneTind-Life-Skills162026年8月21日 更新

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

中文简介正在准备中。当前显示原文说明。

lilinji/GeneTind-Life-Skills162026年8月21日 更新

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

中文简介正在准备中。当前显示原文说明。

lilinji/GeneTind-Life-Skills162026年8月21日 更新

aeon

免费

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

中文简介正在准备中。当前显示原文说明。

lilinji/GeneTind-Life-Skills162026年8月21日 更新

Unified analysis pipeline for affinity-based proteomics platforms — Olink (PEA, NPX) and SomaLogic SomaScan (SOMAmer, RFU). Platform-aware QC, normalisation, differential abundance, volcano plots, heatmaps, and PCA.

中文简介正在准备中。当前显示原文说明。

lilinji/GeneTind-Life-Skills162026年8月21日 更新

查看 lilinji 的全部技能

报告此技能的问题