DelPlasmid: Finding Plasmids with Deep Learning and Machine Learning v1

Software · Wed Aug 12 00:00:00 EDT 2020

DOI:https://doi.org/10.11578/dc.20210903.3· OSTI ID:1818866 · Code ID:63213

Andreopoulos, William ^[1]; Balewski, Jan ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Extrachromosomal genetic elements or plasmids are an important driver of DNA exchange and genetic innovation in prokaryotes. The success of plasmids has been attributed to their independent replication from host cell chromosomes and their frequent self-transfer. In recent years, the Department of Energy has recognized the importance of plasmid DNA to the viability and success of microbial communities and JGI has responded with funding to support the research and development of new methods and tools for the efficient sequencing of plasmid DNA. LBNL #2019-037 is responsive to this call.

• Short Name / Acronym: DelPlasmid: finding plasmids with deep learning and machine learning
• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: 2019-037
• Software Type: Scientific
• License(s): BSD 3-clause "New" or "Revised" License
• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE

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  Primary Award/Contract Number:

  AC02-05CH11231
• DOE Contract Number: AC02-05CH11231
• Code ID: 63213
• OSTI ID: 1818866
• Country of Origin: United States