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Theodor Sperlea - Publikationen



  • A theoretical basis for bioindication in complex ecosystems
  • , H. , D.


  • T. Sperlea, N. Kreuder, D. Beisser, G. Hattab, J. Boenigk, D. Heider (2021). Quantification of the covariation of lake microbiomes and environmental variables using a machine learning‐based framework. Molecular Ecology 30 (9), 2131-2144;


  • T. Sperlea, L. Muth, R. Martin, C. Weigel, T. Waldminghaus, D. Heider (2020). gammaBOriS: identification and taxonomic classification of origins of replication in gammaproteobacteria using Motif-based machine learning. Scientific reports 10 (1), 1-9;
  • H. F. Löchel, D. Eger, T. Sperlea, Dominik Heider (2020). Deep learning on chaos game representation for proteins. Bioinformatics 36 (1), 272-279; DOI: 10.1093/bioinformatics/btz493
  • T. Richardson, D. Stevens, S. Pelliciari, O. Harran, T. Sperlea, H. Murray (2019). Identification of a basal system for unwinding a bacterial chromosome origin
    The EMBO journal 38 (15), e101649; DOI: 10.15252/embj.2019101649
  • F. S. Kemter, N. Schallopp, T. Sperlea, J. Serrania, P. Sobetzko, G. Fritz, T. Waldminghaus (2019). Stringent response leads to continued cell division and a temporal restart of DNA replication after initial shutdown in Vibrio cholerae. Molecular microbiology 111 (6), 1617-1637; DOI: 10.1111/mmi.14241


  • T. Sperlea, S. Füser, J. Boenigk, D. Heider (2018). SEDE-GPS: socio-economic data enrichment based on GPS information. BMC bioinformatics 19 (15), 73-83; DOI: 10.1186/s12859-018-2419-4
  • N. Schallopp, S. Milbredt, T. Sperlea, F. S. Kemter, M. Bruhn, D. Schindler, T. Waldminghaus (2018) Establishing a system for testing replication inhibition of the Vibrio cholerae secondary chromosome in Escherichia coli. Antibiotics 7 (1), 3;


  • D. Schindler, S. Milbredt, T. Sperlea, T. Waldminghaus (2016). Design and Assembly of DNA Sequence Libraries for Chromosomal Insertion in Bacteria Based on a Set of Modified MoClo Vectors. ACS synthetic biology 5 (12), 1362-1368;



  • T. Sperlea. Multiple Sequence Alignments: Which Program Fits My Data? Springer Berlin Heidelberg, 2022; ISBN: 978-3-662-64472-0 [Translated from German by DeepL]

  • T. Sperlea. Multiple Sequenzalignments: Welches Programm passt zu meinen Daten? Springer Spektrum, 2019; ISBN: 978-3-662-58811-6