---
id: "claim:quantifying-orthogonal-barcodes-for-sequence-census-assays-2022-10-10-biorxiv:c4885f292fa062d3c408"
kind: "claim"
title: "Examining barcode-processing corner cases motivated development of qcbc."
description: ""
url: "https://sina.bio/claim/examining-barcode-processing-corner-cases-motivated-development-of-qcbc"
---

# Examining barcode-processing corner cases motivated development of qcbc.

## Content

Examining barcode-processing corner cases motivated development of qcbc.

## Metadata

```json
{
  "claim_position": 61,
  "source_publication_id": "version:quantifying-orthogonal-barcodes-for-sequence-census-assays--2022-10-10-biorxiv",
  "source_work_id": "work:quantifying-orthogonal-barcodes-for-sequence-census-assays"
}
```

## Connections (1)

### Quantifying orthogonal barcodes for sequence census assays

- ID: `version:quantifying-orthogonal-barcodes-for-sequence-census-assays--2022-10-10-biorxiv`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/quantifying-orthogonal-barcodes-for-sequence-census-assays-cc9d35e3>

This publication contains this grounded claim.

> over assay-specific tools. First, by virtue of providing a single solution to seemingly distinct problems, it serves as a unifying framework for biology x barcode assays and will simplify the development and deployment of novel assays. Second, the software implementation we share is portable, engineered to work across platforms, and is modular, allowing for easy adaptation and customization. It makes use of the kallisto and bustools programs that have been previously extensively validated and benchmarked for quantification of the biological sequences in barcode x biology assays such as single-cell and bulk RNA sequencing (Bray et al. 2016; Melsted et al. 2021). Finally, our method is faster than existing tools, and we identify corner cases in processing that have been missed in previous analyses. The examination of such cases led us to develop a tool, called qcbc, for assessing the quality of barcode sets, and that should prove to be a useful standalone package. It is applicable both during assay development, and during assay quality control.

Source: 2022-10-10-biorxiv.pdf — <https://sina.bio/source/2022-10-10-biorxiv-pdf>