Maximilian Sprang

发表

An outstanding bacterial membranome requires CRISPR-Cas systems to avoid the intervention of phages

Antonio J. Pérez-Pulido, A. Garzón, J. Pachón, 2022 .

Batch effect detection and correction in RNA-seq data using machine-learning-based automated assessment of quality

Jean-Fred Fontaine, Miguel Andrade, Maximilian Sprang, 2022, BMC Bioinformatics.

Reducing CRISPR dark matter reveals a strong association between the bacterial membranome and CRISPR-Cas systems

Antonio J. Pérez-Pulido, A. Garzón, J. Pachón, 2022, bioRxiv.

Identification of an Immunogenic Medulloblastoma-Specific Fusion Involving EPC2 and GULP1

C. Sommer, C. Paret, J. Faber, 2021, Cancers.

Safety and Activity of the Combination of Ceritinib and Dasatinib in Osteosarcoma

C. Paret, J. Faber, Daniel-Christoph Wagner, 2020, Cancers.

CpG-Islands as Markers for Liquid Biopsies of Cancer Patients

C. Paret, J. Faber, Maximilian Sprang, 2020, Cells.

Analysis of RBP expression and binding sites identifies PTBP1 as a regulator of CD19 expression in B-ALL

J. König, C. Paret, A. Russo, 2023, Oncoimmunology.

seqQscorer: automated quality control of next-generation sequencing data using machine learning

Jean-Fred Fontaine, S. Albrecht, Miguel Andrade, 2021, Genome biology.

Analysis of bacterial pangenomes reduces CRISPR dark matter and reveals strong association between membranome and CRISPR-Cas systems

Antonio J. Pérez-Pulido, A. Garzón, J. Pachón, 2023, Science advances.

Statistical guidelines for quality control of next-generation sequencing techniques

Jean-Fred Fontaine, Miguel Andrade, Maximilian Sprang, 2021, Life Science Alliance.

Unveiling IRF4-steered regulation of context-dependent effector programs in Th17 and Treg cells

S. Tenzer, Ute Distler, Michael Delacher, 2023, bioRxiv.