Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses.This study presents the results of the second round of the Critical Assessment of Metagenome Interpretation challenges (CAMI II), which is a community-driven effort for comprehensively benchmarking tools for metagenomics data analysis.

Critical Assessment of Metagenome Interpretation: the second round of challenges / Meyer, Fernando; Fritz, Adrian; Deng, Zhi-Luo; Koslicki, David; Lesker, Till Robin; Gurevich, Alexey; Robertson, Gary; Alser, Mohammed; Antipov, Dmitry; Beghini, Francesco; Bertrand, Denis; Brito, Jaqueline J; Brown, C Titus; Buchmann, Jan; Buluç, Aydin; Chen, Bo; Chikhi, Rayan; Clausen, Philip T L C; Cristian, Alexandru; Dabrowski, Piotr Wojciech; Darling, Aaron E; Egan, Rob; Eskin, Eleazar; Georganas, Evangelos; Goltsman, Eugene; Gray, Melissa A; Hansen, Lars Hestbjerg; Hofmeyr, Steven; Huang, Pingqin; Irber, Luiz; Jia, Huijue; Jørgensen, Tue Sparholt; Kieser, Silas D; Klemetsen, Terje; Kola, Axel; Kolmogorov, Mikhail; Korobeynikov, Anton; Kwan, Jason; Lapierre, Nathan; Lemaitre, Claire; Li, Chenhao; Limasset, Antoine; Malcher-Miranda, Fabio; Mangul, Serghei; Marcelino, Vanessa R; Marchet, Camille; Marijon, Pierre; Meleshko, Dmitry; Mende, Daniel R; Milanese, Alessio; Nagarajan, Niranjan; Nissen, Jakob; Nurk, Sergey; Oliker, Leonid; Paoli, Lucas; Peterlongo, Pierre; Piro, Vitor C; Porter, Jacob S; Rasmussen, Simon; Rees, Evan R; Reinert, Knut; Renard, Bernhard; Robertsen, Espen Mikal; Rosen, Gail L; Ruscheweyh, Hans-Joachim; Sarwal, Varuni; Segata, Nicola; Seiler, Enrico; Shi, Lizhen; Sun, Fengzhu; Sunagawa, Shinichi; Sørensen, Søren Johannes; Thomas, Ashleigh; Tong, Chengxuan; Trajkovski, Mirko; Tremblay, Julien; Uritskiy, Gherman; Vicedomini, Riccardo; Wang, Zhengyang; Wang, Ziye; Wang, Zhong; Warren, Andrew; Willassen, Nils Peder; Yelick, Katherine; You, Ronghui; Zeller, Georg; Zhao, Zhengqiao; Zhu, Shanfeng; Zhu, Jie; Garrido-Oter, Ruben; Gastmeier, Petra; Hacquard, Stephane; Häußler, Susanne; Khaledi, Ariane; Maechler, Friederike; Mesny, Fantin; Radutoiu, Simona; Schulze-Lefert, Paul; Smit, Nathiana; Strowig, Till; Bremges, Andreas; Sczyrba, Alexander; Mchardy, Alice Carolyn. - In: NATURE METHODS. - ISSN 1548-7091. - 19:4(2022), pp. 429-440. [10.1038/s41592-022-01431-4]

Critical Assessment of Metagenome Interpretation: the second round of challenges

Beghini, Francesco;Segata, Nicola;
2022-01-01

Abstract

Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses.This study presents the results of the second round of the Critical Assessment of Metagenome Interpretation challenges (CAMI II), which is a community-driven effort for comprehensively benchmarking tools for metagenomics data analysis.
2022
4
Meyer, Fernando; Fritz, Adrian; Deng, Zhi-Luo; Koslicki, David; Lesker, Till Robin; Gurevich, Alexey; Robertson, Gary; Alser, Mohammed; Antipov, Dmitr...espandi
Critical Assessment of Metagenome Interpretation: the second round of challenges / Meyer, Fernando; Fritz, Adrian; Deng, Zhi-Luo; Koslicki, David; Lesker, Till Robin; Gurevich, Alexey; Robertson, Gary; Alser, Mohammed; Antipov, Dmitry; Beghini, Francesco; Bertrand, Denis; Brito, Jaqueline J; Brown, C Titus; Buchmann, Jan; Buluç, Aydin; Chen, Bo; Chikhi, Rayan; Clausen, Philip T L C; Cristian, Alexandru; Dabrowski, Piotr Wojciech; Darling, Aaron E; Egan, Rob; Eskin, Eleazar; Georganas, Evangelos; Goltsman, Eugene; Gray, Melissa A; Hansen, Lars Hestbjerg; Hofmeyr, Steven; Huang, Pingqin; Irber, Luiz; Jia, Huijue; Jørgensen, Tue Sparholt; Kieser, Silas D; Klemetsen, Terje; Kola, Axel; Kolmogorov, Mikhail; Korobeynikov, Anton; Kwan, Jason; Lapierre, Nathan; Lemaitre, Claire; Li, Chenhao; Limasset, Antoine; Malcher-Miranda, Fabio; Mangul, Serghei; Marcelino, Vanessa R; Marchet, Camille; Marijon, Pierre; Meleshko, Dmitry; Mende, Daniel R; Milanese, Alessio; Nagarajan, Niranjan; Nissen, Jakob; Nurk, Sergey; Oliker, Leonid; Paoli, Lucas; Peterlongo, Pierre; Piro, Vitor C; Porter, Jacob S; Rasmussen, Simon; Rees, Evan R; Reinert, Knut; Renard, Bernhard; Robertsen, Espen Mikal; Rosen, Gail L; Ruscheweyh, Hans-Joachim; Sarwal, Varuni; Segata, Nicola; Seiler, Enrico; Shi, Lizhen; Sun, Fengzhu; Sunagawa, Shinichi; Sørensen, Søren Johannes; Thomas, Ashleigh; Tong, Chengxuan; Trajkovski, Mirko; Tremblay, Julien; Uritskiy, Gherman; Vicedomini, Riccardo; Wang, Zhengyang; Wang, Ziye; Wang, Zhong; Warren, Andrew; Willassen, Nils Peder; Yelick, Katherine; You, Ronghui; Zeller, Georg; Zhao, Zhengqiao; Zhu, Shanfeng; Zhu, Jie; Garrido-Oter, Ruben; Gastmeier, Petra; Hacquard, Stephane; Häußler, Susanne; Khaledi, Ariane; Maechler, Friederike; Mesny, Fantin; Radutoiu, Simona; Schulze-Lefert, Paul; Smit, Nathiana; Strowig, Till; Bremges, Andreas; Sczyrba, Alexander; Mchardy, Alice Carolyn. - In: NATURE METHODS. - ISSN 1548-7091. - 19:4(2022), pp. 429-440. [10.1038/s41592-022-01431-4]
File in questo prodotto:
File Dimensione Formato  
s41592-022-01431-4 (1).pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 4.1 MB
Formato Adobe PDF
4.1 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/355080
Citazioni
  • ???jsp.display-item.citation.pmc??? 97
  • Scopus 121
  • ???jsp.display-item.citation.isi??? 114
social impact