Author

F. Heeger

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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Ecology· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:fungi (other)· 2 Assay:metagenomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

C. J. Mazzoni· 3 shared E. C. Bourne· 3 shared M. T. Monaghan· 3 shared C. Wurzbacher· 2 shared A. Lipzen· 1 shared A. Yurkov· 1 shared B. Bunk· 1 shared B. de Thoisy· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersEcology

C. J. Mazzoni

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Author profile →

4 papers

Recent·Most cited

Identification of enzymes for lignocellulose degradation in the genome and transcriptome of the aquatic hyphomycete Clavariopsis aquatica.

F. Heeger, E. C. Bourne, C. Wurzbacher, E. Funke, A. Lipzen, G. He, V. Ng, I. V. Grigoriev, D. Schlosser, M. T. Monaghan

The paper identifies enzymes for lignocellulose degradation in Clavariopsis aquatica by analyzing its genome and transcriptome under different substrates.

bioRxiv · Jun 18, 2020 · PreprintEcology

Achieving high-quality ddRAD-like reference catalogs for non-model species: the power of overlapping paired-end reads.

M. Driller, S. T. Vilaca, L. S. Arantes, T. Carrasco-Valenzuela, F. Heeger, S. Mbedi, D. Chevallier, B. de Thoisy, C. J. Mazzoni

This paper develops a method to improve ddRAD-like reference catalogs for non-model species by using overlapping paired-end reads and in silico size selection, increasing SNP detection and catalog quality.

bioRxiv · Apr 3, 2020 · PreprintEvolutionary Biology

Combining the 5.8S and ITS2 gene regions to improve classification of fungi

F. Heeger, C. Wurzbacher, E. C. Bourne, C. J. Mazzoni, M. T. Monaghan

This study combines 5.8S and ITS2 gene regions to improve fungal classification, showing better performance in underrepresented lineages compared to ITS2 alone.

bioRxiv · Feb 5, 2019 · PreprintEcology

Long-read DNA metabarcoding of ribosomal rRNA in the analysis of fungi from aquatic environments

F. Heeger, E. C. Bourne, C. Baschien, A. Yurkov, B. Bunk, C. Spröer, J. Overmann, C. J. Mazzoni, M. T. Monaghan

This study develops a long-read DNA metabarcoding pipeline for fungi in aquatic environments, achieving high taxonomic resolution and reducing sequencing errors.

bioRxiv · Mar 15, 2018Ecology