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只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
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The official cufflinks docker image.
Maintained by: openEuler CloudNative SIG.
Where to get help: openEuler CloudNative SIG, openEuler.
Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one.
The tag of each cufflinks docker image is consist of the version of cufflinks and the version of basic image. The details are as follows
| Tags | Currently | Architectures |
|---|---|---|
| 2.2.1-oe2403sp3 | cufflinks 2.2.1 on openEuler 24.03-lts-sp3 | amd64, arm64 |
This image provides the Cufflinks suite of tools for transcriptome assembly and differential expression analysis.
Run cufflinks on aligned RNA-Seq reads:
docker run -it --rm -v $(pwd):/data -w /data openeuler/cufflinks:{Tag} cufflinks -o output_dir accepted_hits.bam
Run cuffdiff for differential expression analysis:
docker run -it --rm -v $(pwd):/data -w /data openeuler/cufflinks:{Tag} cuffdiff -o diff_output transcripts.gtf sample1.bam sample2.bam
Other available tools in the image:
cuffcompare — compare assembled transcripts to reference annotation cuffmerge — merge assembled transcripts cuffnorm — normalize expression levels cuffquant — quantify expression levels gffread — convert GFF/GTF files gtf_to_sam — convert GTF to SAM format
If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.
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