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Burkhard Morgenstern

Burkhard Morgenstern

D-Index & Metrics

Computer Science

D-Index
44
Citations
16825
World Ranking
7378
National Ranking
359

Overview

Burkhard Morgenstern is affiliated with the University of Göttingen in Germany. Their research spans multiple fields within the life sciences, focusing extensively on biochemistry, genetics, and molecular biology, with a significant overlap in agricultural and biological sciences.

Their work covers main topics such as genomics and phylogenetic studies, algorithms and data compression, plant-microbe interactions and immunity, plant pathogenic bacteria studies, chromosomal and genetic variations, RNA and protein synthesis mechanisms, and genetic diversity and population structure.

Major subfields of their study include molecular biology, plant science, artificial intelligence, ecology, and genetics.

Burkhard Morgenstern has published in several scientific venues, including bioRxiv (Cold Spring Harbor Laboratory), Frontiers in Microbiology, GigaScience, BMC Bioinformatics, and Molecular Plant Pathology.

Notable recent papers authored or coauthored by them include:

  • Verticillium longisporum Elicits Media-Dependent Secretome Responses With Capacity to Distinguish Between Plant-Related Environments (2020, Frontiers in Microbiology)
  • Smash++: an alignment-free and memory-efficient tool to find genomic rearrangements (2020, GigaScience)
  • S-conLSH: alignment-free gapped mapping of noisy long reads (2021, BMC Bioinformatics)
  • A 20-kb lineage-specific genomic region tames virulence in pathogenic amphidiploid Verticillium longisporum (2021, Molecular Plant Pathology)
  • App-SpaM: phylogenetic placement of short reads without sequence alignment (2021, Bioinformatics Advances)

Frequent coauthors of Burkhard Morgenstern include Rebekka Harting, Isabel Maurus, Jessica Starke, Harald Kusch, and Manuel Landesfeind.

Best Publications

  • AUGUSTUS: ab initio prediction of alternative transcripts

    Mario Stanke;Oliver Keller;Irfan Gunduz;Alec Hayes

  • AUGUSTUS: a web server for gene prediction in eukaryotes that allows user-defined constraints.

    Mario Stanke;Burkhard Morgenstern

  • Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources.

    Mario Stanke;Oliver Schöffmann;Burkhard Morgenstern;Stephan Waack

  • AUGUSTUS: a web server for gene finding in eukaryotes

    Mario Stanke;Rasmus Steinkamp;Stephan Waack;Burkhard Morgenstern

  • MIPS: a database for genomes and protein sequences

    Hans-Werner Mewes;Dmitrij Frishman;Ulrich Güldener;Gertrud Mannhaupt

  • Comparative analysis of the complete genome sequence of the plant growth-promoting bacterium Bacillus amyloliquefaciens FZB42.

    Xiao Hua Chen;Alexandra Koumoutsi;Romy Scholz;Andreas Eisenreich

  • DIALIGN 2: improvement of the segment-to-segment approach to multiple sequence alignment.

    Burkhard Morgenstern

  • DIALIGN: finding local similarities by multiple sequence alignment.

    Burkhard Morgenstern;Kornelie Frech;Andreas W. M. Dress;Thomas Werner

  • Multiple DNA and protein sequence alignment based on segment-to-segment comparison

    Burkhard Morgenstern;Andreas Dress;Thomas Werner

  • AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

    Mario Stanke;Ana Tzvetkova;Burkhard Morgenstern

  • DIALIGN: multiple DNA and protein sequence alignment at BiBiServ.

    Burkhard Morgenstern

  • DIALIGN-TX: greedy and progressive approaches for segment-based multiple sequence alignment

    Amarendran R Subramanian;Michael Kaufmann;Burkhard Morgenstern

  • Fast and sensitive multiple alignment of large genomic sequences.

    Michael Brudno;Michael A Chapman;Berthold Gottgens;Serafim Batzoglou

  • DIALIGN-T: an improved algorithm for segment-based multiple sequence alignment.

    Amarendran R Subramanian;Jan Weyer-Menkhoff;Michael Kaufmann;Burkhard Morgenstern

  • Benchmarking of alignment-free sequence comparison methods.

    Andrzej Zielezinski;Hani Z. Girgis;Guillaume Bernard;Chris-Andre Leimeister

  • jpHMM: improving the reliability of recombination prediction in HIV-1

    Anne-Kathrin Schultz;Ming Zhang;Ingo Bulla;Thomas Leitner

  • Evolution of bHLH transcription factors: modular evolution by domain shuffling?

    B Morgenstern;W R Atchley

  • The role of recombination in the emergence of a complex and dynamic HIV epidemic

    Ming Zhang;Brian Foley;Anne-Kathrin Schultz;Jennifer P Macke

  • Fast alignment-free sequence comparison using spaced-word frequencies

    Chris-Andre Leimeister;Marcus Boden;Sebastian Horwege;Sebastian Lindner

  • Gene prediction in metagenomic fragments: A large scale machine learning approach

    Katharina Jasmin Hoff;Maike Tech;Thomas Lingner;Rolf Daniel

Frequent Co-Authors

Mario Stanke
Mario Stanke University of Greifswald
Andreas W. M. Dress
Andreas W. M. Dress Max Planck Institute for Mathematics in the Sciences
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory
Michael Brudno
Michael Brudno University of Toronto
Ivo Feussner
Ivo Feussner University of Göttingen
Thomas Leitner
Thomas Leitner Los Alamos National Laboratory
Jens Stoye
Jens Stoye Bielefeld University
Gerhard H. Braus
Gerhard H. Braus University of Göttingen
Fengzhu Sun
Fengzhu Sun University of Southern California
Peter F. Stadler
Peter F. Stadler Leipzig University

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