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21.
Schälte, Y. et al.: pyPESTO: A modular and scalable tool for parameter estimation for dynamic models. Bioinformatics 39:btad711 (2023)
22.
Vilov, S. & Heinig, M.: DeepSom: A CNN-based approach to somatic variant calling in WGS samples without a matched normal. Bioinformatics 39:9 (2023)
23.
Weidner, L. ; Hemmler, D. ; Rychlik, M.* & Schmitt-Kopplin, P.: DBDIpy: A Python library for processing of untargeted datasets from real-time plasma ionization mass spectrometry. Bioinformatics 39:2 (2023)
24.
Yuzeir, A.* et al.: IntestLine: A shiny-based application to map the rolled intestinal tissue onto a line. Bioinformatics 39:2 (2023)
25.
Chetnik, K.* et al.: maplet: An extensible R toolbox for modular and reproducible metabolomics pipelines. Bioinformatics 38, 1168-1170 (2022)
26.
Habermann, D.* et al.: HAMdetector: A Bayesian regression model that integrates information to detect HLA-associated mutations. Bioinformatics 38, 2428-2436 (2022)
27.
Ogris, C. ; Castresana-Aguirre, M.* & Sonnhammer, E.L.L.*: PathwAX II: Network-based pathway analysis with interactive visualization of network crosstalk. Bioinformatics 38, 2659-2660 (2022)
28.
Salzer, L. ; Witting, M. & Schmitt-Kopplin, P.: MobilityTransformR: An R package for effective mobility transformation of CE-MS data. Bioinformatics 38, 4044-4045 (2022)
29.
Fröhlich, F.* et al.: AMICI: High-performance sensitivity analysis for large ordinary differential equation models. Bioinformatics 37, 3676-3677 (2021)
30.
Schmiester, L. ; Weindl, D. & Hasenauer, J.: Efficient gradient-based parameter estimation for dynamic models using qualitative data. Bioinformatics 37, 4493-4500 (2021)
31.
Angerer, P. ; Fischer, D.S. ; Theis, F.J. ; Scialdone, A. & Marr, C.: Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data. Bioinformatics 36, 4291-4295 (2020)
32.
Dorigatti, E. & Schubert, B.: Joint epitope selection and spacer design for string-of-beads vaccines. Bioinformatics 36, 2, i643-i650 (2020)
33.
Haselimashhadi, H.* et al.: Soft windowing application to improve analysis of high-throughput phenotyping data. Bioinformatics 36, 1492-1500 (2020)
34.
Lotfollahi, M. ; Naghipourfar, M. ; Theis, F.J. & Wolf, F.A.: Conditional out-of-distribution generation for unpaired data using transfer VAE. Bioinformatics 36, 2, i610-i617 (2020)
35.
Porubsky, D.* et al.: breakpointR: An R/Bioconductor package to localize strand state changes in Strand-seq data. Bioinformatics 36, 1260-1261 (2020)
36.
Schälte, Y. & Hasenauer, J.: Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation. Bioinformatics 36, 1, 551-559 (2020)
37.
Schmiester, L. ; Schälte, Y. ; Fröhlich, F. ; Hasenauer, J. & Weindl, D.: Efficient parameterization of large-scale dynamic models based on relative measurements. Bioinformatics 36, 594-602 (2020)
38.
Solovey, M. & Scialdone, A.: COMUNET: A tool to explore and visualize intercellular communication. Bioinformatics 36, 4296-4300 (2020)
39.
Do, K.T. ; Rasp, D.J.N.P. ; Kastenmüller, G. ; Suhre, K. & Krumsiek, J.: MoDentify: Phenotype-driven module identification in metabolomics networks at different resolutions. Bioinformatics 35, 532-534 (2019)
40.
Gilly, A. et al.: Very low-depth whole-genome sequencing in complex trait association studies. Bioinformatics 35, 2555-2561 (2019)
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