bioRxiv/medRxiv TRiP Review Activity

264 Reviews — GigaScience — Bioinformatics

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Monitoring changes in the Gene Ontology and their impact on genomic data analysis
Jacobson, M., Sedeno-Cortes, A. E., Pavlidis, P.
10.1101/320861 — Posted: 2018-05-13 — Discussion: 2022-01-22  GigaScience
Experimenting with reproducibility in bioinformatics
Kim, Y.-M., Poline, J.-B., Dumas, G.
10.1101/143503 — Posted: 2017-06-20 — Discussion: 2022-01-22  GigaScience
Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data
Alakwaa, F., Huang, S., Garmire, L.
10.1101/283408 — Posted: 2018-03-16 — Discussion: 2022-01-22  GigaScience
Prot-SpaM: Fast alignment-free phylogeny reconstruction based on whole-proteome sequences
Leimeister, C.-A., Schellhorn, J., Schoebel, S., Gerth, M., Bleidorn, C., Morgenstern, B.
10.1101/306142 — Posted: 2018-04-23 — Discussion: 2022-01-22  GigaScience
ANNOgesic: A Pipeline To Translate Bacterial/Archaeal RNA-Seq Data Into High-Resolution Genome Annotations
Yu, S.-H., Vogel, J., Foerstner, K. U.
10.1101/143081 — Posted: 2017-05-27 — Discussion: 2022-01-22  GigaScience
SVEngine: an efficient and versatile simulator of genome structural variations with features of cancer clonal evolution
Xia, L. C., Ai, D., Lee, H., Andor, N., Li, C., Zhang, N. R., Ji, H. P.
10.1101/247536 — Posted: 2018-01-12 — Discussion: 2022-01-22  GigaScience
ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota
Batut, B., Gravouil, K., Defois, C., Hiltemann, S., Brugere, J.-F., Peyretaillade, E., Peyret, P.
10.1101/183970 — Posted: 2017-09-04 — Discussion: 2022-01-22  GigaScience
Clustering trees: a visualisation for evaluating clusterings at multiple resolutions
Zappia, L., Oshlack, A.
10.1101/274035 — Posted: 2018-03-02 — Discussion: 2022-01-22  GigaScience
YAMP: a framework enabling reproducibility in metagenomics research
Visconti, A., Martin, T. C., Falchi, M.
10.1101/223016 — Posted: 2017-11-21 — Discussion: 2022-01-22  GigaScience
PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud
Peters, K., Bradbury, J., Bergmann, S., Capuccini, M., Cascante, M., de Atauri, P., Ebbels, T., Foguet, C., Glen, R., Gonzalez-Beltran, A., Handakas, E., Hankemeier, T., Herman, S., Haug, K., Holub, P., Izzo, M., Jacob, D., Johnson, D., Jourdan, F., Kale, N., Karaman, I., Khalili, B., Emami Khoonsari, P., Kultima, K., Lampa, S., Larsson, A., Moreno, P., Neumann, S., Novella, J. A., O'Donovan, C., Pearce, J. T., Peluso, A., Pireddu, L., Piras, M. E., Reed, M. A., Rocca-Serra, P., Roger, P., Rosato, A., Rueedi, R., Ruttkies, C., Sadawi, N., Salek, R., Sansone, S.-A., Selivanov, V., Spjuth, O.
10.1101/409151 — Posted: 2018-09-06 — Discussion: 2022-01-22  GigaScience

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