---
id: "claim:long-read-sequencing-transcriptome-quantification-with-lr-kallisto-2025-12-01-p-c105976de1:c819872987e1f234e223"
kind: "claim"
title: "lr-kallisto efficiently quantifies long-read RNA-seq libraries."
description: ""
url: "https://sina.bio/claim/lr-kallisto-efficiently-quantifies-long-read-rna-seq-libraries"
---

# lr-kallisto efficiently quantifies long-read RNA-seq libraries.

## Content

lr-kallisto efficiently quantifies long-read RNA-seq libraries.

## Metadata

```json
{
  "claim_position": 13,
  "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.

> We show that an implementation of our method, which we term lr-kallisto, is accurate and efficient, making possible quantification of long-read sequencing single-cell or bulk RNA-seq libraries.

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

### lr-kallisto accurately and efficiently quantifies long-read RNA-seq libraries, including bulk, single-cell, and single-n

- ID: `result:long-read-sequencing-transcriptome-quantification-with-lr-kallisto-2025-12-01-p-c105976de1:3645f3ff2f6f53cea414`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/lr-kallisto-accurately-and-efficiently-quantifies-long-read-rna-seq-lib-9e6fc067>

This claim supports this result.