Author

Sascha Dietrich

University of GöttingenPrimary ORCID profile (0000-0002-0648-1832 · 12 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Sascha DietrichiD12 papers · University Hospital Heidelberg

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alejandro Sánchez AlvaradoiD· 1 shared Anton Farr· 1 shared Claus‐D. KuhniD· 1 shared Cynthia Maria ChibaniiD· 1 shared Eric J. RossiD· 1 shared F. C. Meinecke· 1 shared Heiko LiesegangiD· 1 shared Iana V. KimiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 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

1 shared paperMolecular Biology

Alejandro Sánchez AlvaradoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Efficient depletion of ribosomal RNA for RNA sequencing in planarians

Iana V. Kim, Eric J. Ross, Sascha Dietrich, Kristina Döring, Alejandro Sánchez Alvarado, Claus‐D. Kuhn

This paper describes a method for efficiently depleting ribosomal RNA from planarian and bacterial RNA samples, improving transcriptome coverage and dynamics.

BMC Genomics · Nov 29, 2019Peer-reviewedMolecular Biology

ClassiPhages 2.0: Sequence-based classification of phages using Artificial Neural Networks

Cynthia Maria Chibani, F. C. Meinecke, Anton Farr, Sascha Dietrich, Heiko Liesegang

ClassiPhages 2.0 uses artificial neural networks to classify phages based on sequence data, achieving 84.18% accuracy in cross-validation.

bioRxiv · Feb 22, 2019 · PreprintBioinformatics