Back

NanoCortex: A Unified Agentic System for Nanopore Sequencing Analysis

Xia, Q.; Wang, Z.; Shokoufandeh, M.; Rouhanifard, S. H.; Wanunu, M.

2026-05-21 bioinformatics
10.64898/2026.05.19.726254 bioRxiv
Show abstract

Nanopore sequencing has enabled various layers of information about DNA and RNA sequence isoforms and chemical modifications. Yet, the archipelago of disjoint nanopore analysis tools makes navigating among these a significant challenge for the nanopore user. We present NanoCortex, a unified autonomous agentic framework designed to bridge this shortcoming by providing end-to-end data processing which ranges from raw signal basecalling to biological interpretation. Built upon Gemini API services that incur usage-based API costs and orchestrated through the Gemini Agent Development Kit (ADK), the system utilizes a multi-agent architecture to autonomously perform task parsing, code generation, iterative code-level self-correction of code, and scientific interpretation. Following code generation, the code can be used offline. Benchmarking reveals that NanoCortex achieves significantly higher usability across complex analytical tasks compared to general-purpose large language models. The framework seamlessly integrates experimental data with meta-analysis of publicly available, biological databases to facilitate the extraction of biologically meaningful insights from sequencing data without cumbersome computational steps.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Nature Biotechnology
147 papers in training set
Top 0.1%
23.2%
2
Nature Methods
336 papers in training set
Top 0.3%
20.0%
3
Nature Communications
4913 papers in training set
Top 21%
9.4%
50% of probability mass above
4
Genome Biology
555 papers in training set
Top 0.8%
7.4%
5
Cell Systems
167 papers in training set
Top 2%
5.0%
6
Nucleic Acids Research
1128 papers in training set
Top 5%
3.7%
7
Genome Research
409 papers in training set
Top 0.9%
3.7%
8
Bioinformatics
1061 papers in training set
Top 6%
3.2%
9
PLOS ONE
4510 papers in training set
Top 47%
2.1%
10
Nature Machine Intelligence
61 papers in training set
Top 2%
1.8%
11
Nature
575 papers in training set
Top 12%
1.4%
12
Scientific Reports
3102 papers in training set
Top 65%
1.3%
13
Genome Medicine
154 papers in training set
Top 6%
1.3%
14
GigaScience
172 papers in training set
Top 3%
0.8%
15
BMC Bioinformatics
383 papers in training set
Top 7%
0.8%
16
Nature Computational Science
50 papers in training set
Top 2%
0.8%
17
Advanced Science
249 papers in training set
Top 20%
0.7%
18
Cell Reports Methods
141 papers in training set
Top 5%
0.7%
19
Briefings in Bioinformatics
326 papers in training set
Top 7%
0.7%
20
Computational and Structural Biotechnology Journal
216 papers in training set
Top 10%
0.7%
21
iScience
1063 papers in training set
Top 36%
0.7%
22
NAR Genomics and Bioinformatics
214 papers in training set
Top 5%
0.5%
23
Bioinformatics Advances
184 papers in training set
Top 5%
0.5%
24
Nature Biomedical Engineering
42 papers in training set
Top 3%
0.5%
25
Patterns
70 papers in training set
Top 3%
0.5%