Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dimitri Höhler"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Abstract Scientific software from all areas of scientific research is pivotal to obtaining novel insights. Yet the coding standards adherence of scientific software is rarely assessed, even though it might lead to incorrect scientific results in the
Externí odkaz:
https://doaj.org/article/c6ada62ae08e4e89a1b1ca6fb2c03c7c
MotivationPhylogenetic inferences under the Maximum-Likelihood (ML) criterion deploy heuristic tree search strategies to explore the vast search space. Depending on the input dataset, searches from different starting trees might all converge to a sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245065ea7b8c0f5d32c169f2e2daf13b
https://doi.org/10.1101/2023.05.15.540873
https://doi.org/10.1101/2023.05.15.540873
Publikováno v:
Molecular biology and evolution. 39(12)
Phylogenetic analyzes under the Maximum-Likelihood (ML) model are time and resource intensive. To adequately capture the vastness of tree space, one needs to infer multiple independent trees. On some datasets, multiple tree inferences converge to sim
SummaryThe evaluation of phylogenetic inference tools is commonly conducted on simulated and empirical sequence data alignments. An open question is how representative these alignments are with respect to those, commonly analyzed by users. Based upon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4fa9d60920edd815fbd34d933780043
https://doi.org/10.1101/2022.10.31.514545
https://doi.org/10.1101/2022.10.31.514545
Publikováno v:
Bioinformatics, 38 (6), 1741–1742
Summary The assessment of novel phylogenetic models and inference methods is routinely being conducted via experiments on simulated as well as empirical data. When generating synthetic data it is often unclear how to set simulation parameters for the
Scientific software from all areas of scientific research is pivotal to obtaining novel insights. Yet the quality of scientific software is rarely assessed, even though it might lead to incorrect scientific results in the worst case. Therefore, we ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::930e9d63d415520ca3eda7d128305b1b
https://doi.org/10.1101/2020.10.07.330621
https://doi.org/10.1101/2020.10.07.330621