Author

A. Saitta

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Agan· 1 shared A. C. Marques· 1 shared A. C. Rinaldi· 1 shared A. Corrales· 1 shared A. Janiszewski· 1 shared A. N. Khalid· 1 shared A. Verbeken· 1 shared A. Willig· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperEcology

A. Agan

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Author profile →

2 papers

Recent·Most cited

A deep learning approach for improved detection of homologous recombination deficiency from shallow genomic profiles

G. Andre, T. Coletta, C. Pozzorini, A. C. Marques, J. Bieler, R. Kempfer, C. Chong, A. Saitta, E. Smith, M. Macheret, A. Janiszewski, X. Bonilla, J. Bonet, H. Santos-Silva, M. Postl, , Z. Xu

This paper introduces a deep learning model to detect homologous recombination deficiency from shallow whole genome sequencing data, achieving high accuracy comparable to deeper sequencing methods.

bioRxiv · Jul 6, 2022 · PreprintCancer Biology

Towards understanding diversity, endemicity and global change vulnerability of soil fungi

L. Tedersoo, V. Mikryukov, A. Zizka, M. Bahram, N. Hagh-Doust, S. Anslan, O. Prylutskyi, M. Delgado-Baquerizo, F. T. Maestre, J. Parn, M. opik, M. Moora, M. Zobel, M. Espenberg, u. Mander, , Zahn

The paper identifies unknown soil fungi using PacBio sequencing and evaluates standardization methods to analyze global diversity, endemicity, and vulnerability patterns.

bioRxiv · Mar 17, 2022 · PreprintEcology