Citar

Si utiliza gget en una publicación, favor de citar:
Luebbert, L., & Pachter, L. (2023). Efficient querying of genomic reference databases with gget. Bioinformatics. https://doi.org/10.1093/bioinformatics/btac836

• Si utiliza gget alphafold, favor de citar:

  • Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

  Y si aplica:

  • Evans, R. et al. Protein complex prediction with AlphaFold-Multimer. bioRxiv 2021.10.04.463034; https://doi.org/10.1101/2021.10.04.463034

• Si utiliza gget archs4, favor de citar:

  • Lachmann A, Torre D, Keenan AB, Jagodnik KM, Lee HJ, Wang L, Silverstein MC, Ma’ayan A. Massive mining of publicly available RNA-seq data from human and mouse. Nature Communications 9. Article number: 1366 (2018), doi:10.1038/s41467-018-03751-6

  • Bray NL, Pimentel H, Melsted P and Pachter L, Near optimal probabilistic RNA-seq quantification, Nature Biotechnology 34, p 525--527 (2016). https://doi.org/10.1038/nbt.3519

• Si utilizan gget blast, por favor también de citar:

  • Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990 Oct 5;215(3):403-10. doi: 10.1016/S0022-2836(05)80360-2. PMID: 2231712.

• Si utiliza gget blat, favor de citar:

  • Kent WJ. BLAT--the BLAST-like alignment tool. Genome Res. 2002 Apr;12(4):656-64. doi: 10.1101/gr.229202. PMID: 11932250; PMCID: PMC187518.

• Si utiliza gget cellxgene, favor de citar:

  • Chanzuckerberg Initiative. (n.d.). CZ CELLxGENE Discover. Retrieved [insert date here], from https://cellxgene.cziscience.com/

• Si utiliza gget diamond, favor de citar:

  • Buchfink, B., Xie, C. & Huson, D. Fast and sensitive protein alignment using DIAMOND. Nat Methods 12, 59–60 (2015). https://doi.org/10.1038/nmeth.3176

• Si utiliza gget elm, favor de citar:

  • Laura Luebbert, Chi Hoang, Manjeet Kumar, Lior Pachter, Fast and scalable querying of eukaryotic linear motifs with gget elm, Bioinformatics, 2024, btae095, https://doi.org/10.1093/bioinformatics/btae095

  • Manjeet Kumar, Sushama Michael, Jesús Alvarado-Valverde, Bálint Mészáros, Hugo Sámano‐Sánchez, András Zeke, Laszlo Dobson, Tamas Lazar, Mihkel Örd, Anurag Nagpal, Nazanin Farahi, Melanie Käser, Ramya Kraleti, Norman E Davey, Rita Pancsa, Lucía B Chemes, Toby J Gibson, The Eukaryotic Linear Motif resource: 2022 release, Nucleic Acids Research, Volume 50, Issue D1, 7 January 2022, Pages D497–D508, https://doi.org/10.1093/nar/gkab975

• Si utiliza gget enrichr, favor de citar:

  • Chen EY, Tan CM, Kou Y, Duan Q, Wang Z, Meirelles GV, Clark NR, Ma'ayan A. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics. 2013; 128(14).

  • Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, Koplev S, Jenkins SL, Jagodnik KM, Lachmann A, McDermott MG, Monteiro CD, Gundersen GW, Ma'ayan A. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Research. 2016; gkw377.

  • Xie Z, Bailey A, Kuleshov MV, Clarke DJB., Evangelista JE, Jenkins SL, Lachmann A, Wojciechowicz ML, Kropiwnicki E, Jagodnik KM, Jeon M, & Ma’ayan A. Gene set knowledge discovery with Enrichr. Current Protocols, 1, e90. 2021. doi: 10.1002/cpz1.90.

• Si utiliza gget muscle, favor de citar:

  • Edgar RC (2021), MUSCLE v5 enables improved estimates of phylogenetic tree confidence by ensemble bootstrapping, bioRxiv 2021.06.20.449169. https://doi.org/10.1101/2021.06.20.449169.

Descargo de responsabilidad

gget es tan preciso como la base de datos/servidores/APIs que utiliza. La exactitud o fiabilidad de los datos no es garantizada por ningún motivo. Los proveedores por ningún motivo seran responsables de (incluyendo, sin limite alguno) la calidad, ejecución, o comerciabilidad para cualquier propósito particular surgiendo del uso o la incapacidad de usar los datos.