ChIP Sequencing — Nuclyra
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Service · Bioinformatics Pipeline

ChIP Sequencing

ChIP-seq pipelines from raw reads to called peaks and annotated binding sites — built to separate real signal from background noise, with reproducibility checked, not assumed.

Who this is for

TYPICAL CLIENT

A regulatory biology lab mapping where a protein actually binds DNA

Usually a PI or computational biologist in an epigenomics or gene regulation lab studying transcription factor binding or histone modification, who needs peak calls they can defend — with input controls handled correctly and reproducibility checked across replicates.

What you walk away with

Six concrete deliverables, not a slide deck.

This is exactly what transfers to you at the end of this ChIP Sequencing engagement.

Alignment & deduplication pipeline

Reads aligned and PCR duplicates removed, with input/control samples processed alongside ChIP samples.

Peak calling against matched input

MACS2-based peak calling that properly accounts for your input or IgG control, not just raw ChIP signal.

IDR reproducibility QC

Irreproducible discovery rate analysis across replicates, so reported peaks are ones that actually replicate.

Motif enrichment analysis

De novo and known motif enrichment within called peaks, to connect binding sites to sequence-level biology.

Peak annotation to nearest gene/TSS

Every peak annotated to its nearest gene and genomic feature, so results are interpretable without a second tool.

Full documentation & handoff session

Written documentation plus a recorded walkthrough so your team can operate the pipeline independently.

What's included

What this service includes

Alignment & deduplication

Reads aligned and PCR duplicates removed for both ChIP and input/control samples.

Input-normalized peak calling

MACS2-based calling that properly subtracts background using a matched input or IgG control.

IDR reproducibility analysis

Peaks scored for reproducibility across biological replicates before being called final.

Motif & gene annotation

Peaks annotated to nearest genes and screened for enriched sequence motifs.

In practice

What this looks like in a real engagement

Three concrete examples of the kind of work this service covers.

Transcription factor binding study

Genome-wide binding sites mapped for a transcription factor across multiple biological replicates.

Histone modification mapping

Broad-peak calling for histone marks like H3K27ac or H3K4me3 to define active regulatory regions.

CUT&RUN / CUT&Tag adaptation

The same peak-calling and QC framework adapted to the lower-background CUT&RUN and CUT&Tag protocols.

Why it matters

Why a peak call is only as trustworthy as its input control and its replicate.

ChIP-seq signal is noisy by nature — open chromatin and sequencing bias can produce peaks that look real but aren’t binding events at all. Without a properly matched input control and a reproducibility check across replicates, a peak list can be more artifact than biology.

We build ChIP-seq pipelines that treat the input control as a first-class part of the analysis and run IDR across replicates by default, so the peaks you report are ones that hold up.

ChIP-seq analysis workflow showing peak heatmap, differential peak analysis and motif enrichment
How we deliver it

How an engagement runs

Four stages, from sample intake to delivery.

Stage 01 — Align

Alignment & dedup

ChIP and input samples are aligned and deduplicated under identical parameters.

Stage 02 — Call peaks

Input-normalized peak calling

Peaks are called against the matched input control, narrow or broad depending on the mark.

Stage 03 — Reproducibility

IDR & replicate QC

Peaks are scored for reproducibility across replicates before being finalized.

Stage 04 — Annotate & handoff

Annotate & hand off

Final peaks are annotated to genes and motifs, then documented and delivered.

Tooling

What we build it with

Bowtie2MACS2IDRHOMERNextflowdeepToolsMultiQCbedtools
A peak without a matched input control is a hypothesis, not a result.
Questions we get

Before you reach out

Strongly recommended — input-normalized peak calling is substantially more reliable, and we can advise on control design before you sequence.

Broad-peak calling mode is used for diffuse histone marks, with parameters tuned separately from narrow transcription-factor peaks.

Yes — the same pipeline framework adapts to these lower-background protocols with adjusted peak-calling parameters.

Let’s talk

Have ChIP-seq data waiting on a defensible peak list?

Send us your protocol and control design — we’ll tell you honestly whether your controls support the peak calls you need.