https://github.com/applicativesystem/trinity-analyzer

from trinity assembly to deep learning
https://github.com/applicativesystem/trinity-analyzer

genome-analysis genome-annotation transcriptome-annotation transcriptome-assembly trinity

Last synced: 18 days ago
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from trinity assembly to deep learning

• Host: GitHub
• URL: https://github.com/applicativesystem/trinity-analyzer
• Owner: applicativesystem
• License: mit
• Created: 2024-08-20T19:12:07.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-20T19:44:14.000Z (5 months ago)
• Last Synced: 2024-11-10T20:18:19.867Z (about 2 months ago)
• Topics: genome-analysis, genome-annotation, transcriptome-annotation, transcriptome-assembly, trinity
• Language: Python
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# trinity-blast-machine-learning

- a scalable and faster implementation of the genome and the transcriptome annotations for large scale sequencing datasets.

- a parallelly implemented python function for the API based blast analysis of the transcripts and provides a faster and comprehensive approach to the blast analysis and filter analysis based on the similarity score.

- It takes a transcriptome assembly file and provides a transcriptome wide dataframe as well as the analysis plus the  accession and the sequences of the blast analysis and alignment. It also provides a complete information on the taxID and also the  blast sequences.

- It will also write and get the accessions identified in the blast hists and also the sequences for the alignment. Give the assembled  genome coding regions, or the transcripts or the genes and it will prepare the  clean headers, transcript headers, blast analysis, accession analysis, taxonomy identifiers analysis.

Gaurav Sablok \

University of Potsdam \

Potsdam,Germany