---
id: "claim:universal-preprocessing-of-single-cell-genomics-data-2023-09-15-biorxiv:4307f6f14861eb746677"
kind: "claim"
title: "Kallisto-bustools Hamming-distance-one correction balances speed, memory, and barcode recovery."
description: ""
url: "https://sina.bio/claim/kallisto-bustools-hamming-distance-one-correction-balances-speed-memory-5b89e212"
---

# Kallisto-bustools Hamming-distance-one correction balances speed, memory, and barcode recovery.

## Content

Kallisto-bustools Hamming-distance-one correction balances speed, memory, and barcode recovery.

## Metadata

```json
{
  "claim_position": 46,
  "source_publication_id": "version:universal-preprocessing-of-single-cell-genomics-data--2023-09-15-biorxiv",
  "source_work_id": "work:universal-preprocessing-of-single-cell-genomics-data"
}
```

## Connections (3)

### Modular, efficient and constant-memory single-cell RNA-seq preprocessing

- ID: `version:modular-efficient-and-constant-memory-single-cell-rna-seq-preprocessing--2021-04-01-nature-biotechnology`
- Kind: `publication`
- Direction: `outgoing`
- URL: <https://sina.bio/publication/modular-efficient-and-constant-memory-single-cell-rna-seq-preprocessing>

This publication is cited in support of this claim.

> Sequencing machines used to sequence the libraries produced with genomics assays may generate reads with errors in barcode sequences affecting the ability for barcode-barcode registration in multi-modal assays. Preprocessing tools that perform discordant barcode error correction strategies on each modality may lose barcodes due to mismatches in correction. To address this, universal preprocessing requires consistent error correction strategies. The kallisto bustools workflow achieves a good tradeoff between speed, memory, and barcode recovery for the Hamming-1 distance barcode error correction strategy and can be consistently applied to barcodes from multiple assays (Melsted et al. 2021).

Source: 2023-09-15-biorxiv.pdf — <https://sina.bio/source/2023-09-15-biorxiv-pdf>

### Universal preprocessing of single-cell genomics data

- ID: `version:universal-preprocessing-of-single-cell-genomics-data--2023-09-15-biorxiv`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/universal-preprocessing-of-single-cell-genomics-data>

This publication contains this grounded claim.

> Sequencing machines used to sequence the libraries produced with genomics assays may generate reads with errors in barcode sequences affecting the ability for barcode-barcode registration in multi-modal assays. Preprocessing tools that perform discordant barcode error correction strategies on each modality may lose barcodes due to mismatches in correction. To address this, universal preprocessing requires consistent error correction strategies. The kallisto bustools workflow achieves a good tradeoff between speed, memory, and barcode recovery for the Hamming-1 distance barcode error correction strategy and can be consistently applied to barcodes from multiple assays (Melsted et al. 2021).

Source: 2023-09-15-biorxiv.pdf — <https://sina.bio/source/2023-09-15-biorxiv-pdf>

### Consistent barcode-error correction prevents cross-modality barcode loss, and kallisto-bustools Hamming-distance-one cor

- ID: `result:universal-preprocessing-of-single-cell-genomics-data-2023-09-15-biorxiv:175afec703ef43d3de3a`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/consistent-barcode-error-correction-prevents-cross-modality-barcode-los-657b5aa5>

This claim supports this result.