Custom Analysis & Consulting ServicesStudy Design, Pipeline Selection, and Reproducibility Before You Commit to Sequencing or Analysis

Schurch et al. [6] found that with three replicates, nine of 11 DE tools recovered only 20–40% of genes identified with 42 clean replicates from a 48-replicate-per-condition design; they recommend at least six replicates per condition, rising to 12 when all fold-change levels matter.

For fewer than 12 replicates per condition, edgeR and DESeq2 offered the best true-positive and false-positive balance in the same study [6].

Piccolo & Frampton [5] summarize Nekrutenko and Taylor's finding that fewer than half of 50 NGS papers provided software-version or parameter details—making replication difficult without author contact.

Ewels et al. [8] describe nf-core as a community framework for peer-reviewed Nextflow pipelines with Docker or Singularity support and versioned releases.

Hasin et al. [11] outline genome-first, phenotype-first, and environment-first frameworks—and stress that design at each layer determines whether integration is meaningful.

Low replicate counts miss true differential signals and inflate false discoveries [6]. Pepkio compares your design to published replicate guidance and recommends counts before library prep begins.

Methods sections that reference "in-house Perl scripts" without version metadata block replication [12]. Pepkio audits code for Git history, containerization, and parameter logs, then delivers a prioritized fix list.

Piccolo & Frampton [5] summarize that fewer than half of 50 NGS papers provided software-version or parameter details. Recommendation memos cite exact tool versions; audit reports flag gaps before submission.

Heterogeneous one-off pipelines are hard to maintain and compare [8]. Pepkio documents trade-offs in a comparison table when benchmarking is scoped.

Multi-omics integration requires aligned experimental design across layers—not ad hoc merging after collection [11]. Consulting maps each omics layer to the biological question before sample preparation.

A bioinformatics consulting service covers study design, pipeline selection, reproducibility audits, and knowledge transfer—not full omics pipeline execution unless you separately scope it. Pepkio assigns a dedicated scientific contact, delivers a written recommendation memo with tool rationale, and can provide annotated workflow templates. Custom or non-standard analyses are supported when scoped at kickoff.

Yes. Many teams engage Pepkio for a focused consult—assay selection, replicate planning, or pipeline audit—without committing to a fixed-price analysis project. When you are ready to execute, the recommendation memo can transition into a statement of work on the relevant technique hub or custom analysis service.

Provide the biological question, sample types, sequencing platform or instrument (when known), and budget for pre-sequencing consults. For audits, share scripts, metadata spreadsheets, QC reports, and Methods drafts. Raw omics files are optional but help validate feasibility; poor QC or confounded designs are flagged with remediation options scoped separately.

Focused consults typically complete in 3–10 business days; pipeline audits with deliverables and checkpoint calls typically require 2–4 weeks. Timelines are confirmed at kickoff.

You receive a recommendation memo, optional pipeline comparison table, annotated workflow template with environment lock file when in scope, audit checklist, and optional slide deck. Full commented pipeline code and publication figures apply to execution projects, not memo-only consults unless scoped.

Yes. Pepkio audits scripts for version control, containerization, parameter logging, and documentation [3, 4]. The audit report lists prioritized fixes and, when in scope, an annotated template for resubmission.

Yes, when scoped at kickoff. Pepkio can advise on non-standard input formats, output structures, or integration methods outside standard differential-expression or variant-calling workflows. Execution of bespoke analyses transitions to custom analysis or a technique hub with milestone-based pricing defined before work begins.

Yes. Pepkio schedules review checkpoints after the initial audit and before final delivery. You can refine assay choices, tool shortlists, and knowledge-transfer depth within agreed scope. A dedicated scientific contact leads scheduled calls—not a generic ticket queue.

Pepkio issues an optional statement of work linking to the relevant fixed-price service—e.g., bulk RNA-seq on transcriptomics or WGS on genomics. The consulting memo becomes the methods blueprint; execution projects deliver version-pinned pipelines, figures, code, and a Methods draft.

Clarification of recommendations and audit findings is included within agreed scope. Substantial new analyses—re-benchmarking with alternate tools, additional modalities, or full pipeline re-implementation—are scoped as separate milestones, consistent with Pepkio's CRO FAQ reviewer-support policy.