nf-core · jfy133 · Jul 17, 2023 · Jun 17, 2023 · Jun 17, 2023 · Jun 17, 2023
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -7,16 +7,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### `Added`
 
-- New Classifers/Profilers
-  - [#298](https://github.com/nf-core/taxprofiler/pull/298) Added [ganon](https://pirovc.github.io/ganon/) (added by @jfy133)
-- Additional functionality
-  - [#276](https://github.com/nf-core/taxprofiler/pull/276) Implemented batching in the KrakenUniq samples processing (added by @Midnighter)
-  - [#272](https://github.com/nf-core/taxprofiler/pull/272) Add saving of final 'analysis-ready-reads' to dedicated directory (❤️ to @alexhbnr for request, added by @jfy133)
-  - [#303](https://github.com/nf-core/taxprofiler/pull/303) Add support for taxpasta profile standardisation in single sample pipeline runs (❤️ to @artur-matysik for request, added by @jfy133)
-  - [#315](https://github.com/nf-core/taxprofiler/pull/315) Updated to nf-core pipeline template v2.9 (added by @sofstam & @jfy133)
-  - [#319](https://github.com/nf-core/taxprofiler/pull/319) Added support for virus hit expansion in Kaiju (❤️ to @dnlrxn for requesting, added by @jfy133)
-  - [#323](https://github.com/nf-core/taxprofiler/pull/323) Add ability to skip sequencing quality control tools (❤️ to @vinisalazar for requesting, added by @jfy133)
-  - [#318](https://github.com/nf-core/taxprofiler/pull/318) Added the profiler MetaPhlAn4 and removed MetaPhlAn3 (added by @LilyAnderssonLee)
+- [#298](https://github.com/nf-core/taxprofiler/pull/298) **New classifier** [ganon](https://pirovc.github.io/ganon/) (added by @jfy133)
+- [#276](https://github.com/nf-core/taxprofiler/pull/276) Implemented batching in the KrakenUniq samples processing (added by @Midnighter)
+- [#272](https://github.com/nf-core/taxprofiler/pull/272) Add saving of final 'analysis-ready-reads' to dedicated directory (❤️ to @alexhbnr for request, added by @jfy133)
+- [#303](https://github.com/nf-core/taxprofiler/pull/303) Add support for taxpasta profile standardisation in single sample pipeline runs (❤️ to @artur-matysik for request, added by @jfy133)
+- [#308](https://github.com/nf-core/taxprofiler/pull/308) Add citations and bibliographic information to the MultiQC methods text of tools used in a given pipeline run (added by @jfy133)
+- [#315](https://github.com/nf-core/taxprofiler/pull/315) Updated to nf-core pipeline template v2.9 (added by @sofstam & @jfy133)
+- [#319](https://github.com/nf-core/taxprofiler/pull/319) Added support for virus hit expansion in Kaiju (❤️ to @dnlrxn for requesting, added by @jfy133)
+- [#323](https://github.com/nf-core/taxprofiler/pull/323) Add ability to skip sequencing quality control tools (❤️ to @vinisalazar for requesting, added by @jfy133)
+- [#318](https://github.com/nf-core/taxprofiler/pull/318) Added the profiler MetaPhlAn4 and removed MetaPhlAn3 (added by @LilyAnderssonLee)
 
 ### `Fixed`
 

diff --git a/CITATIONS.md b/CITATIONS.md
@@ -20,86 +20,96 @@
 
 - [falco](https://doi.org/10.12688/f1000research.21142.2)
 
-  > de Sena Brandine G and Smith AD. Falco: high-speed FastQC emulation for quality control of sequencing data. F1000Research 2021, 8:1874
+  > de Sena Brandine, G., & Smith, A. D. (2021). Falco: high-speed FastQC emulation for quality control of sequencing data. F1000Research, 8(1874), 1874. https://doi.org/10.12688/f1000research.21142.2
 
 - [fastp](https://doi.org/10.1093/bioinformatics/bty560)
 
-  > Chen, Shifu, Yanqing Zhou, Yaru Chen, and Jia Gu. 2018. Fastp: An Ultra-Fast All-in-One FASTQ Preprocessor. Bioinformatics 34 (17): i884-90. 10.1093/bioinformatics/bty560.
+  > Chen, S., Zhou, Y., Chen, Y., & Gu, J. (2018). fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics , 34(17), i884–i890. https://doi.org/10.1093/bioinformatics/bty560
 
 - [AdapterRemoval2](https://doi.org/10.1186/s13104-016-1900-2)
 
-  > Schubert, Mikkel, Stinus Lindgreen, and Ludovic Orlando. 2016. AdapterRemoval v2: Rapid Adapter Trimming, Identification, and Read Merging. BMC Research Notes 9 (February): 88. doi:10.1186/s13104-016-1900-2.
+  > Schubert, M., Lindgreen, S., & Orlando, L. (2016). AdapterRemoval v2: rapid adapter trimming, identification, and read merging. BMC Research Notes, 9, 88. https://doi.org/10.1186/s13104-016-1900-2
 
 - [Porechop](https://github.com/rrwick/Porechop)
 
-- [FILTLONG](https://github.com/rrwick/Filtlong)
+  > Wick, R. R., Judd, L. M., Gorrie, C. L., & Holt, K. E. (2017). Completing bacterial genome assemblies with multiplex MinION sequencing. Microbial Genomics, 3(10), e000132. https://doi.org/10.1099/mgen.0.000132
+
+- [Filtlong](https://github.com/rrwick/Filtlong)
+
+> Wick R (2021) Filtlong, URL: https://github.com/rrwick/Filtlong
 
 - [BBTools](http://sourceforge.net/projects/bbmap/)
 
+> Bushnell B. (2022) BBMap, URL: http://sourceforge.net/projects/bbmap/
+
 - [PRINSEQ++](https://doi.org/10.7287/peerj.preprints.27553v1)
 
-  > Cantu, Vito Adrian, Jeffrey Sadural, and Robert Edwards. 2019. PRINSEQ++, a Multi-Threaded Tool for Fast and Efficient Quality Control and Preprocessing of Sequencing Datasets. e27553v1. PeerJ Preprints. doi: 10.7287/peerj.preprints.27553v1.
+  > Cantu, V. A., Sadural, J., & Edwards, R. (2019). PRINSEQ++, a multi-threaded tool for fast and efficient quality control and preprocessing of sequencing datasets (e27553v1). PeerJ Preprints. https://doi.org/10.7287/peerj.preprints.27553v1
 
 - [Bowtie2](https://doi.org/10.1038/nmeth.1923)
 
-  > Langmead, B., & Salzberg, S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nature Methods, 9(4), 357–359. doi: 10.1038/nmeth.1923
+  > Langmead, B., & Salzberg, S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nature Methods, 9(4), 357–359. https://doi.org/10.1038/nmeth.1923
 
 - [minimap2](https://doi.org/10.1093/bioinformatics/bty191)
 
-  > Li, H. (2018). Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics , 34(18), 3094–3100. doi: 10.1093/bioinformatics/bty191
+  > Li, H. (2018). Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics , 34(18), 3094–3100. https://doi.org/10.1093/bioinformatics/bty191
 
 - [SAMTools](https://doi.org/10.1093/gigascience/giab008)
 
-  > Danecek, P., Bonfield, J. K., Liddle, J., Marshall, J., Ohan, V., Pollard, M. O., Whitwham, A., Keane, T., McCarthy, S. A., Davies, R. M., & Li, H. (2021). Twelve years of SAMtools and BCFtools. GigaScience, 10(2). doi: 10.1093/gigascience/giab008
+  > Danecek, P., Bonfield, J. K., Liddle, J., Marshall, J., Ohan, V., Pollard, M. O., Whitwham, A., Keane, T., McCarthy, S. A., Davies, R. M., & Li, H. (2021). Twelve years of SAMtools and BCFtools. GigaScience, 10(2). https://doi.org/10.1093/gigascience/giab008
 
 - [Bracken](https://doi.org/10.7717/peerj-cs.104)
 
-  > Lu, J., Breitwieser, F. P., Thielen, P., & Salzberg, S. L. (2017). Bracken: Estimating species abundance in metagenomics data. PeerJ Computer Science, 3, e104. doi: 10.7717/peerj-cs.104
+  > Lu, J., Breitwieser, F. P., Thielen, P., & Salzberg, S. L. (2017). Bracken: estimating species abundance in metagenomics data. PeerJ. Computer Science, 3(e104), e104. https://doi.org/10.7717/peerj-cs.104
 
 - [Kraken2](https://doi.org/10.1186/s13059-019-1891-0)
 
-  > Wood, Derrick E., Jennifer Lu, and Ben Langmead. 2019. Improved Metagenomic Analysis with Kraken 2. Genome Biology 20 (1): 257. doi: 10.1186/s13059-019-1891-0.
+  > Wood, D. E., Lu, J., & Langmead, B. (2019). Improved metagenomic analysis with Kraken 2. Genome Biology, 20(1), 257. https://doi.org/10.1186/s13059-019-1891-0
 
 - [KrakenUniq](https://doi.org/10.1186/s13059-018-1568-0)
 
-  > Breitwieser, Florian P., Daniel N. Baker, and Steven L. Salzberg. 2018. KrakenUniq: confident and fast metagenomics classification using unique k-mer counts. Genome Biology 19 (1): 198. doi: 10.1186/s13059-018-1568-0
+  > Breitwieser, F. P., Baker, D. N., & Salzberg, S. L. (2018). KrakenUniq: confident and fast metagenomics classification using unique k-mer counts. Genome Biology, 19(1), 198. https://doi.org/10.1186/s13059-018-1568-0
 
 - [MetaPhlAn](https://doi.org/10.1038/s41587-023-01688-w)
 
-  > Blanco-Míguez, A., Beghini, F., Cumbo, F. et al. Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4. Nat Biotechnol (2023). doi: 10.1038/s41587-023-01688-w
+  > Blanco-Míguez, A., Beghini, F., Cumbo, F., McIver, L. J., Thompson, K. N., Zolfo, M., Manghi, P., Dubois, L., Huang, K. D., Thomas, A. M., Nickols, W. A., Piccinno, G., Piperni, E., Punčochář, M., Valles-Colomer, M., Tett, A., Giordano, F., Davies, R., Wolf, J., … Segata, N. (2023). Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4. Nature Biotechnology, 1–12. https://doi.org/10.1038/s41587-023-01688-w
 
 - [MALT](https://doi.org/10.1038/s41559-017-0446-6)
 
-  > Vågene, Åshild J., Alexander Herbig, Michael G. Campana, Nelly M. Robles García, Christina Warinner, Susanna Sabin, Maria A. Spyrou, et al. 2018. Salmonella Enterica Genomes from Victims of a Major Sixteenth-Century Epidemic in Mexico. Nature Ecology & Evolution 2 (3): 520-28. doi: 10.1038/s41559-017-0446-6.
+  > Vågene, Å. J., Herbig, A., Campana, M. G., Robles García, N. M., Warinner, C., Sabin, S., Spyrou, M. A., Andrades Valtueña, A., Huson, D., Tuross, N., Bos, K. I., & Krause, J. (2018). Salmonella enterica genomes from victims of a major sixteenth-century epidemic in Mexico. Nature Ecology & Evolution, 2(3), 520–528. https://doi.org/10.1038/s41559-017-0446-6
 
 - [MEGAN](https://doi.org/10.1371/journal.pcbi.1004957)
 
-  > Huson, Daniel H., Sina Beier, Isabell Flade, Anna Górska, Mohamed El-Hadidi, Suparna Mitra, Hans-Joachim Ruscheweyh, and Rewati Tappu. 2016. “MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data.” PLoS Computational Biology 12 (6): e1004957. doi: 10.1371/journal.pcbi.1004957.
+  > Huson, D. H., Beier, S., Flade, I., Górska, A., El-Hadidi, M., Mitra, S., Ruscheweyh, H.-J., & Tappu, R. (2016). MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data. PLoS Computational Biology, 12(6), e1004957. https://doi.org/10.1371/journal.pcbi.1004957
 
 - [DIAMOND](https://doi.org/10.1038/nmeth.3176)
 
-  > Buchfink, Benjamin, Chao Xie, and Daniel H. Huson. 2015. “Fast and Sensitive Protein Alignment Using DIAMOND.” Nature Methods 12 (1): 59-60. doi: 10.1038/nmeth.3176.
+  > Buchfink, B., Xie, C., & Huson, D. H. (2015). Fast and sensitive protein alignment using DIAMOND. Nature Methods, 12(1), 59–60. https://doi.org/10.1038/nmeth.3176
 
 - [Centrifuge](https://doi.org/10.1101/gr.210641.116)
 
-  > Kim, Daehwan, Li Song, Florian P. Breitwieser, and Steven L. Salzberg. 2016. “Centrifuge: Rapid and Sensitive Classification of Metagenomic Sequences.” Genome Research 26 (12): 1721-29. doi: 10.1101/gr.210641.116.
+  > Kim, D., Song, L., Breitwieser, F. P., & Salzberg, S. L. (2016). Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Research, 26(12), 1721–1729. https://doi.org/10.1101/gr.210641.116
 
 - [Kaiju](https://doi.org/10.1038/ncomms11257)
 
-  > Menzel, P., Ng, K. L., & Krogh, A. (2016). Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nature Communications, 7, 11257. doi: 10.1038/ncomms11257
+  > Menzel, P., Ng, K. L., & Krogh, A. (2016). Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nature Communications, 7, 11257. https://doi.org/10.1038/ncomms11257
 
 - [mOTUs](https://doi.org/10.1186/s40168-022-01410-z)
 
-  > Ruscheweyh, H.-J., Milanese, A., Paoli, L., Karcher, N., Clayssen, Q., Keller, M. I., Wirbel, J., Bork, P., Mende, D. R., Zeller, G., & Sunagawa, S. (2022). Cultivation-independent genomes greatly expand taxonomic-profiling capabilities of mOTUs across various environments. Microbiome, 10(1), 212. doi: 10.1186/s40168-022-01410-z
+  > Ruscheweyh, H.-J., Milanese, A., Paoli, L., Karcher, N., Clayssen, Q., Keller, M. I., Wirbel, J., Bork, P., Mende, D. R., Zeller, G., & Sunagawa, S. (2022). Cultivation-independent genomes greatly expand taxonomic-profiling capabilities of mOTUs across various environments. Microbiome, 10(1), 212. https://doi.org/10.1186/s40168-022-01410-z
 
 - [ganon](https://doi.org/10.1093/bioinformatics/btaa458)
 
-  > Piro, V. C., Dadi, T. H., Seiler, E., Reinert, K., & Renard, B. Y. (2020). Ganon: Precise metagenomics classification against large and up-to-date sets of reference sequences. Bioinformatics (Oxford, England), 36(Suppl_1), i12–i20. doi: 10.1093/bioinformatics/btaa458
+  > Piro, V. C., Dadi, T. H., Seiler, E., Reinert, K., & Renard, B. Y. (2020). Ganon: Precise metagenomics classification against large and up-to-date sets of reference sequences. Bioinformatics (Oxford, England), 36(Suppl_1), i12–i20. https://doi.org/10.1093/bioinformatics/btaa458
 
 - [Krona](https://doi.org/10.1186/1471-2105-12-385)
 
   > Ondov, Brian D., Nicholas H. Bergman, and Adam M. Phillippy. 2011. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics 12 (1): 385. doi: 10.1186/1471-2105-12-385.
 
+- [TAXPASTA](https://doi.org/10.21105/joss.05627)
+
+  > Beber, M. E., Borry, M., Stamouli, S., & Fellows Yates, J. A. (2023). TAXPASTA: TAXonomic Profile Aggregation and STAndardisation. Journal of Open Source Software, 8(87), 5627. https://doi.org/10.21105/joss.05627
+
 ## Software packaging/containerisation tools
 
 - [Anaconda](https://anaconda.com)