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|a 10.21105/joss.03678
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|a eng
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| 100 |
1 |
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|a Hill, Alexis M
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Opfi
|b A Python package for identifying gene clusters in large genomics and metagenomics data sets
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 28.03.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Gene clusters are sets of co-localized, often contiguous genes that together perform specific functions, many of which are relevant to biotechnology. There is a need for software tools that can extract candidate gene clusters from vast amounts of available genomic data. Therefore, we developed Opfi: a modular pipeline for identification of arbitrary gene clusters in assembled genomic or metagenomic sequences. Opfi contains functions for annotation, de-deduplication, and visualization of putative gene clusters. It utilizes a customizable rule-based filtering approach for selection of candidate systems that adhere to user-defined criteria. Opfi is implemented in Python, and is available on the Python Package Index and on Bioconda (Grüning et al., 2018)
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|a Journal Article
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|a Rybarski, James R
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hu, Kuang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Finkelstein, Ilya J
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wilke, Claus O
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Journal of open source software
|d 2017
|g 6(2021), 66 vom: 29.
|w (DE-627)NLM275088057
|x 2475-9066
|7 nnns
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| 773 |
1 |
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|g volume:6
|g year:2021
|g number:66
|g day:29
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|u http://dx.doi.org/10.21105/joss.03678
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