---
id: "claim:long-read-sequencing-transcriptome-quantification-with-lr-kallisto-2025-12-01-p-c105976de1:b2f8e105f6ab4e8d734e"
kind: "claim"
title: "Lr-kallisto is highly accurate in producing quantification results on data with less than 10% sequencing error rate comp"
description: "Lr-kallisto is highly accurate in producing quantification results on data with less than 10% sequencing error rate comparable to those with short-read sequencing."
url: "https://sina.bio/claim/lr-kallisto-is-highly-accurate-in-producing-quantification-results-on-d-1d37a913"
---

# Lr-kallisto is highly accurate in producing quantification results on data with less than 10% sequencing error rate comp

Lr-kallisto is highly accurate in producing quantification results on data with less than 10% sequencing error rate comparable to those with short-read sequencing.

## Content

Lr-kallisto is highly accurate in producing quantification results on data with less than 10% sequencing error rate comparable to those with short-read sequencing.

## Metadata

```json
{
  "claim_position": 145,
  "source_publication_id": "version:long-read-sequencing-transcriptome-quantification-with-lr-kallisto--2025-12-01-plos-computational-biology",
  "source_work_id": "work:long-read-sequencing-transcriptome-quantification-with-lr-kallisto"
}
```

## Connections (2)

### Long-read sequencing transcriptome quantification with lr-kallisto

- ID: `version:long-read-sequencing-transcriptome-quantification-with-lr-kallisto--2025-12-01-plos-computational-biology`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/long-read-sequencing-transcriptome-quantification-with-lr-kallisto-3ccc217c>

This publication contains this grounded claim.

> lr-kallisto is highly accurate in producing quantification results on data with less than 10% sequencing error rate comparable to those with short-read sequencing.

Source: 2025-12-01-plos-computational-biology.pdf — <https://sina.bio/source/2025-12-01-plos-computational-biology-pdf>

### lr-kallisto is useful for current high-accuracy long-read transcriptome projects but performs less well on legacy high-e

- ID: `result:long-read-sequencing-transcriptome-quantification-with-lr-kallisto-2025-12-01-p-c105976de1:0a998d14a6689c804b5c`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/lr-kallisto-is-useful-for-current-high-accuracy-long-read-transcriptome-d20480c8>

This claim supports this result.