Author

N. Mach

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

Biology Disciplines

Click to filter author papers

Ecology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

G. Salle· 3 shared M. Basiaga· 2 shared M. Boisseau· 2 shared T. Kuzmina· 2 shared A. Gesbert· 1 shared C. Kuchly· 1 shared C. Laugier· 1 shared C. Midoux· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersEcology

G. Salle

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Evaluation of the nemabiome approach for the study of equine strongylid communities

E. Courtot, M. Boisseau, S. Dhorne-Pollet, D. Serreau, A. Gesbert, F. Reigner, M. Basiaga, T. Kuzmina, J. Lluch, G. Annonay, C. Kuchly, I. Diekmann, J. Krücken, G. von Samson-Himmelstjerna, N. Mach, G. Salle

This study evaluates the nemabiome approach for equine strongylid species identification using ITS-2 and a new COI barcode, finding COI less effective due to amplification biases and lower sensitivity.

bioRxiv · Jul 22, 2022 · PreprintEcology

The first horse gut microbiome gene catalog reveals that rare microbiome ensures better cardiovascular fitness in endurance horses

N. Mach, C. Midoux, S. Leclercq, S. Pennarun, L. Le Moyec, O. Rue, C. Robert, G. Salle, E. Barrey

The paper builds the first equine gut microbiome gene catalog and links rare microbiome species to improved cardiovascular fitness in endurance horses.

bioRxiv · Jan 24, 2022 · PreprintMicrobiology

Species turnover between age groups of horses and positive network of co-occurrences define the structure of horse strongylid communities: a meta-analysis

M. Boisseau, N. Mach, M. Basiaga, S. Kornas, T. Kuzmina, C. Laugier, G. Salle

This study analyzes horse strongylid communities using a meta-analysis to identify factors shaping their diversity and structure, finding that species turnover between age groups and positive co-occurrence networks are key.

bioRxiv · May 17, 2021 · PreprintEcology