Submission declined on 18 October 2024 by Kline (talk).
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| Submission declined on 17 October 2024 by Theroadislong (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. Declined by Theroadislong 23 days ago. | |
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Comment: None of the sources currently present pass GNG. Kline • talk • contribs 02:57, 18 October 2024 (UTC)
| Developer(s) | Laura Luebbert, Lior Pachter, et al. |
|---|---|
| Written in | Python |
| Available in | English, Spanish |
| Type | Bioinformatics |
| License | BSD-2 |
| Website | https://www.gget.bio |
gget[1][2] is a suite of software tools designed to perform common transcriptomics and proteomics data analysis tasks in a single line of code, including protein structure prediction using AlphaFold, gene set enrichment analysis, and querying of data from genomic databases such as Ensembl genome database project, National Center for Biotechnology Information, and UniProt. Since its first release in 2022[3], gget has been installed over 150,000 times[4][5] (as of October 7, 2024) from PyPI and Conda.
gget is an open source project that is available to users for free and can be used from Python (programming language), Bash (Unix shell), and R (programming language).
References
edit- ^ Luebbert, Laura; Pachter, Lior (2023). "Efficient querying of genomic reference databases with gget". Bioinformatics. 39 (1). doi:10.1093/bioinformatics/btac836. PMC 9835474. PMID 36610989.
- ^ Luebbert, Laura; Hoang, Chi; Kumar, Manjeet; Lior, Pachter (2024). "Fast and scalable querying of eukaryotic linear motifs with gget elm". Bioinformatics. 40 (3). doi:10.1093/bioinformatics/btae095. PMC 10927331. PMID 38377393.
- ^ Laura Luebbert (May 10, 2022). "gget version 0.0.22". GitHub. Retrieved October 7, 2024.
- ^ PePy. "gget downloads from PyPI". Retrieved October 7, 2024.
- ^ Bioconda. "gget downloads from Conda/Bioconda". Retrieved October 7, 2024.
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