URL: https://github.com/GoekeLab/m6anet
Proper Citation: m6anet (RRID:SCR_025234)
Description: Software Python tool for detection of m6A from direct RNA-Seq data. Leverages multiple instance learning framework to detect m6a modifications from Nanopore Direct RNA Sequencing data.
Resource Type: source code, data processing software, data analysis software, software application, software resource
Defining Citation: PMID:36357692
Keywords: Nanopore Direct RNA Sequencing data, detection of m6A, RNA-Seq data,
Expand AllWe found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for m6anet.
No alerts have been found for m6anet.
Source: SciCrunch Registry