World's Best Scientists 2026 revealed!

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Computer Science

D-Index
51
Citations
20124
World Ranking
5206
National Ranking
240

Overview

Knut Reinert is affiliated with Freie Universität Berlin in Germany. Their research primarily focuses on the fields of Biochemistry, Genetics and Molecular Biology, with a particular concentration in Molecular Biology. They have also contributed to studies in Ecology, Artificial Intelligence, Spectroscopy, and Computer Networks and Communications.

The scientist's work covers multiple specific topics, including:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • RNA and protein synthesis mechanisms
  • Metabolomics and Mass Spectrometry Studies
  • Microbial Community Ecology and Physiology
  • Bacteriophages and microbial interactions
  • Advanced Proteomics Techniques and Applications

Reinert has authored several papers with notable recent publications such as:

  • "Critical Assessment of Metagenome Interpretation: the second round of challenges," 2022, Nature Methods
  • "GenMap: ultra-fast computation of genome mappability," 2020, Bioinformatics
  • "Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research," 2020, Briefings in Bioinformatics
  • "ganon: precise metagenomics classification against large and up-to-date sets of reference sequences," 2020, Bioinformatics
  • "Concentration and chemical form of dietary zinc shape the porcine colon microbiome, its functional capacity and antibiotic resistance gene repertoire," 2020, The ISME Journal

The scientist frequently collaborates with a group of coauthors, including:

  • Enrico Seiler
  • Vitor C. Piro
  • Svenja Mehringer
  • Mitra Darvish
  • Adrian Fritz

Publication venues where Reinert's research appears most often include:

  • Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NAR Genomics and Bioinformatics
  • Briefings in Bioinformatics
  • Genome Biology

Best Publications

  • The genome sequence of Drosophila melanogaster

    M. D. Adams;S. E. Celniker;R. A. Holt;C. A. Evans

  • A Whole-Genome Assembly of Drosophila

    Eugene W. Myers;Granger G. Sutton;Art L. Delcher;Ian M. Dew

  • OpenMS – An open-source software framework for mass spectrometry

    Marc Sturm;Andreas Bertsch;Clemens Gröpl;Andreas Hildebrandt

  • OpenMS: a flexible open-source software platform for mass spectrometry data analysis

    Hannes L Röst;Hannes L Röst;Timo Sachsenberg;Stephan Aiche;Chris Bielow

  • Computational pan-genomics: status, promises and challenges.

    Tobias Marschall;Manja Marz;Manja Marz;Thomas Abeel;Louis Dijkstra

  • SeqAn An efficient, generic C++ library for sequence analysis

    Andreas Döring;David Weese;Tobias Rausch;Knut Reinert

  • TOPP---the OpenMS proteomics pipeline

    Oliver Kohlbacher;Knut Reinert;Clemens Gröpl;Eva Lange

  • Tools for label-free peptide quantification

    Sven Nahnsen;Chris Bielow;Knut Reinert;Oliver Kohlbacher

  • Whole-genome shotgun assembly and comparison of human genome assemblies

    Sorin Istrail;Granger G. Sutton;Liliana Florea;Aaron L. Halpern

  • Flexbar 3.0 - SIMD and multicore parallelization.

    Johannes T Roehr;Christoph Dieterich;Knut Reinert

  • GenMap: ultra-fast computation of genome mappability.

    Christopher M. Pockrandt;Mai Alzamel;Mai Alzamel;Costas S. Iliopoulos;Knut Reinert;Knut Reinert

  • RazerS—fast read mapping with sensitivity control

    David Weese;Anne-Katrin Emde;Tobias Rausch;Andreas Döring

  • RazerS 3

    David Weese;Manuel Holtgrewe;Knut Reinert

  • Approaching clinical proteomics: current state and future fields of application in fluid proteomics.

    Rolf Apweiler;Charalampos Aslanidis;Thomas Deufel;Andreas Gerstner

  • Alignment of Next-Generation Sequencing Reads

    Knut Reinert;Ben Langmead;David Weese;Dirk J. Evers

  • High-accuracy peak picking of proteomics data using wavelet techniques.

    Eva Lange;Clemens Gröpl;Knut Reinert;Oliver Kohlbacher

  • Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.

    Franziska Hufsky;Kevin Lamkiewicz;Alexandre Almeida;Abdel Aouacheria

  • The greedy path-merging algorithm for contig scaffolding

    Daniel H. Huson;Knut Reinert;Eugene W. Myers

  • A geometric approach for the alignment of liquid chromatography—mass spectrometry data

    Eva Lange;Clemens Gröpl;Ole Schulz-Trieglaff;Andreas Leinenbach

  • Fast and accurate read mapping with approximate seeds and multiple backtracking

    Enrico Siragusa;Enrico Siragusa;David Weese;Knut Reinert

Frequent Co-Authors

Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Gunnar W. Klau
Gunnar W. Klau Heinrich Heine University Düsseldorf
Daniel H. Huson
Daniel H. Huson University of Tübingen
Eugene W. Myers
Eugene W. Myers Max Planck Institute of Molecular Cell Biology and Genetics
Hans-Peter Lenhof
Hans-Peter Lenhof Saarland University
Martin Vingron
Martin Vingron Max Planck Society
Bernhard Y. Renard
Bernhard Y. Renard Hasso Plattner Institute
Arthur L. Delcher
Arthur L. Delcher University of Maryland, College Park
Granger G. Sutton
Granger G. Sutton J. Craig Venter Institute
J. Craig Venter
J. Craig Venter J. Craig Venter Institute

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