Thesis - Master (6)

101.
Thesis - Master
Hertzberg, J.: TAD-Aware prioritization of putative pathogenic CNV´s. Master (2019)
102.
Thesis - Master
Mitra, D.: Using alignment free methods for semi-quantative analysis of NGS data. Master (2019)
103.
Thesis - Master
Muzychenko, E.: Studying ribosomal DNA repeats in newly assembled genomes. Master (2019)
104.
Thesis - Master
Proft, M.: Interpreting Decisions of Deep Neural Networks to Identify Binding Preferences of Transcription Factors. Master (2019)

Thesis - Bachelor (5)

105.
Thesis - Bachelor
Akbari Omgba, P.: Detection and analysis of tissue-specific regulatory units based on ChIP-Seq histone modification experiments. Bachelor (2019)
106.
Thesis - Bachelor
Alavi, N.: Integrating pedigree information into linked-read based hapotyping for phasing structural variants. Bachelor (2019)
107.
Thesis - Bachelor
Fadakar, S.: Development and Implementation of R-CODE for finding Condition-Specific. Bachelor (2019)
108.
Thesis - Bachelor
Steiger, M.: Comparative motif enrichment analysis of experimentally identified active enhancers in mouse embryonic stem cells. Bachelor (2019)
109.
Thesis - Bachelor
Vogler, P.: Evaluation Scaffolding based on long sequence reads – Haplotype aided scaffolging of hexaploid genomes. Bachelor (2019)

Other (2)

110.
Other
Despang, A.; Schöpflin, R.; Franke, M.; Ali, S.; Jerkovic, I.; Paliou, C.; Chan, W.-L.; Timmermann, B.; Wittler, L.; Vingron, M. et al.; Mundlos, S.; Ibrahim, D. M.: Functional dissection of TADs reveals non-essential and instructive roles in regulating gene expression, bioRxiv (Preprint Server) 2019, (2019)
111.
Other
Bridavsky, M.; Kuhl, H.; Woodruff, A.; Kornak, U.; Timmermann, B.; Mages, N.; 99 Lives Consortium; Lupiáñez, D. G.; Symmons, O.; Ibrahim, D. M.: Crowdfunded whole-genome sequencing of the celebrity cat Lil BUB identifies causal mutations for her osteopetrosis and polydactyly, bioRxiv (Preprint Server), (2019)

Preprint (1)

112.
Preprint
Lammel, D. R.; Meierhofer, D.; Johnston, P.; Mbedi, S.; Rillig, M. C.: The effects of arbuscular mycorrhizal fungi (AMF) and Rhizophagus irregularis on soil microorganisms assessed by metatranscriptomics and metaproteomics. (2019)
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