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Michael Degiorgio

dblp:301/5083 · DBLP profile ↗
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4ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0003-4908-7234ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
4 papers
Bioinformatics and computational biology · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
population genetics
1.032022
BalLeRMix +: mixture model approaches for robust joint identification of both positive selection and long-term balancing selection · Bioinform. 2022
SweepFinder2: increased sensitivity, robustness and flexibility · Bioinform. 2016
bammds: a tool for assessing the ancestry of low-depth whole-genome data using multidimensional scaling (MDS) · Bioinform. 2014
Bioinformatics and computational biology › population genetics
natural selection detection
0.612022
BalLeRMix +: mixture model approaches for robust joint identification of both positive selection and long-term balancing selection · Bioinform. 2022
Bioinformatics and computational biology
phylogenetics
0.512021
PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments · Bioinform. 2021
Bioinformatics and computational biology › sequence alignment › genome alignment
whole-genome alignment
0.512021
PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments · Bioinform. 2021
Bioinformatics and computational biology › population genetics › selection detection
selective sweep detection
0.212016
SweepFinder2: increased sensitivity, robustness and flexibility · Bioinform. 2016
Bioinformatics and computational biology › population genetics
ancestry inference
0.212014
bammds: a tool for assessing the ancestry of low-depth whole-genome data using multidimensional scaling (MDS) · Bioinform. 2014
Bioinformatics and computational biology › molecular evolution › evolutionary bioinformatics
ancient DNA analysis
0.112014
bammds: a tool for assessing the ancestry of low-depth whole-genome data using multidimensional scaling (MDS) · Bioinform. 2014

Methods — techniques the papers use, named apart from their topics

mixture model · 0.6composite likelihood ratio · 0.6phylogenetic inference · 0.5recombination map · 0.2likelihood-based detection · 0.2multidimensional scaling · 0.2
YearPublicationVenuePosition
2022 BalLeRMix +: mixture model approaches for robust joint identification of both positive selection and long-term balancing selection
abstract
SUMMARY: The growing availability of genomewide polymorphism data has fueled interest in detecting diverse selective processes affecting population diversity. However, no model-based approaches exist to jointly detect and distinguish the two complementary processes of balancing and positive selection. We extend the BalLeRMix B-statistic framework described in Cheng and DeGiorgio (2020) for detecting balancing selection and present BalLeRMix+, which implements five B statistic extensions based on mixture models to robustly identify both types of selection. BalLeRMix+ is implemented in Python and computes the composite likelihood ratios and associated model parameters for each genomic test position. AVAILABILITY AND IMPLEMENTATION: BalLeRMix+ is freely available at https://github.com/bioXiaoheng/BallerMixPlus. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Xiaoheng Cheng, Michael Degiorgio
Bioinform.2
2021 PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments
abstract
SUMMARY: Here, we present PhyloWGA, an open source R package for conducting phylogenetic analysis and investigation of whole genome data. AVAILABILITYAND IMPLEMENTATION: Available at Github (https://github.com/radamsRHA/PhyloWGA). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Richard H. Adams, Todd A. Castoe, Michael Degiorgio
Bioinform.3
2016 SweepFinder2: increased sensitivity, robustness and flexibility
abstract
UNLABELLED: SweepFinder is a widely used program that implements a powerful likelihood-based method for detecting recent positive selection, or selective sweeps. Here, we present SweepFinder2, an extension of SweepFinder with increased sensitivity and robustness to the confounding effects of mutation rate variation and background selection. Moreover, SweepFinder2 has increased flexibility that enables the user to specify test sites, set the distance between test sites and utilize a recombination map. AVAILABILITY AND IMPLEMENTATION: SweepFinder2 is a freely-available (www.personal.psu.edu/mxd60/sf2.html) software package that is written in C and can be run from a Unix command line. CONTACT: [email protected].
Michael Degiorgio, Christian D. Huber, Melissa J. Hubisz, Ines Hellmann, Rasmus Nielsen
Bioinform.1
2014 bammds: a tool for assessing the ancestry of low-depth whole-genome data using multidimensional scaling (MDS)
abstract
SUMMARY: We present bammds, a practical tool that allows visualization of samples sequenced by second-generation sequencing when compared with a reference panel of individuals (usually genotypes) using a multidimensional scaling algorithm. Our tool is aimed at determining the ancestry of unknown samples-typical of ancient DNA data-particularly when only low amounts of data are available for those samples. AVAILABILITY AND IMPLEMENTATION: The software package is available under GNU General Public License v3 and is freely available together with test datasets https://savannah.nongnu.org/projects/bammds/. It is using R (http://www.r-project.org/), parallel (http://www.gnu.org/software/parallel/), samtools (https://github.com/samtools/samtools). CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Anna-Sapfo Malaspinas, Ole Tange, José Víctor Moreno-Mayar, Morten Rasmussen, Michael Degiorgio, Yong Wang 0075, Cristina E. Valdiosera, Gustavo Politis, Eske Willerslev, Rasmus Nielsen
Bioinform.5