Computational Molecular Evolution

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The Computational Molecular Evolution (CME) group focuses on developing algorithms, computer architectures, and high-performance computing solutions for bioinformatics.

SEEK ID: https://publications.h-its.org/projects/13

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Research Group created: 7th Nov 2017

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Research Groups: Computational Molecular Evolution

Institutions: Heidelberg Institute for Theoretical Studies

Ben Bettisworth

Research Groups: Computational Molecular Evolution

Institutions: Heidelberg Institute for Theoretical Studies

Research Groups: Computational Molecular Evolution

Institutions: Heidelberg Institute for Theoretical Studies

Research Groups: Computational Molecular Evolution

Institutions: Heidelberg Institute for Theoretical Studies

Dimitri Höhler

Research Groups: Computational Molecular Evolution

Institutions: Heidelberg Institute for Theoretical Studies

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Heidelberg Institute for Theoretical Studies

Country: Germany

City: Heidelberg

Web page: https://www.h-its.org

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Distanzbasierte Inferenz von Genbäumen unter Berücksichtigung ihres Speziesbaumes

Computational Molecular Evolution

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In dieser Arbeit wird Spearfish, eine neue Methode zur distanzbasierten Inferenz von Genbäumen, entwickelt und getestet. Spearfish verwendet die paarweisen Distanzen der Gensequenzen, sowie die Distanzen …

Authors: Lukas Knirsch, Benoit Morel, Alexandros Stamatakis

Date Published: 2nd Oct 2025

Publication Type: Bachelor's Thesis

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Created: 9th Jan 2025 at 13:16, Last updated: 9th Jan 2025 at 13:16

Improving DNA-Barcoding Databases: A Framework for Error Detection and Correction in the Barcode of Life Data System (BOLD)

Computational Molecular Evolution

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Authors: Alexander Suhrkamp, Alexandros Stamatakis

Date Published: 1st Dec 2024

Publication Type: Master's Thesis

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Created: 9th Jan 2025 at 12:56

KaMPIng: Flexible and (Near) Zero-Overhead C++ Bindings for MPI

Computational Molecular Evolution

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The Message-Passing Interface (MPI) and C++ form the backbone of high-performance computing, but MPI only provides C and Fortran bindings. While this offers great language interoperability, high-level …

Authors: Tim Niklas Uhl, Matthias Schimek, Lukas Hübner, Demian Hespe, Florian Kurpicz, Daniel Seemaier, Christoph Stelz, Peter Sanders

Date Published: 17th Nov 2024

Publication Type: Proceedings

DOI: 10.1109/SC41406.2024.00050

Citation: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis,pp.1-21,IEEE

Created: 9th Jan 2025 at 10:12, Last updated: 9th Jan 2025 at 10:13

Validation and Cross‑Species Comparison of scRNA‑seq Trajectory Inference Algorithms

Computational Molecular Evolution

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Authors: Eric Laudemann, Alexandros Stamatakis

Date Published: 1st Oct 2024

Publication Type: Master's Thesis

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Created: 9th Jan 2025 at 12:58

Effects of Systematic Errors on Phylogenetic Inference

Computational Molecular Evolution

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Authors: Erik Borker, Alexandros Stamatakis

Date Published: 1st Sep 2024

Publication Type: Master's Thesis

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Created: 9th Jan 2025 at 12:59

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