10 Works

Additional file 2 of A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events

Andrea Cappozzo, Cathal McCrory, Oliver Robinson, Anna Freni Sterrantino, Carlotta Sacerdote, Vittorio Krogh, Salvatore Panico, Rosario Tumino, Licia Iacoviello, Fulvio Ricceri, Sabina Sieri, Paolo Chiodini, Gareth J. McKay, Amy Jayne McKnight, Frank Kee, Ian S. Young, Bernadette McGuinness, Eileen M. Crimmins, Thalida Em Arpawong, Rose Anne Kenny, Aisling O’Halloran, Silvia Polidoro, Giuliana Solinas, Paolo Vineis, Francesca Ieva … & Giovanni Fiorito
Additional file 2. Supplementary Tables S1, S2, and S3.

Additional file 1 of Genomic data integration and user-defined sample-set extraction for population variant analysis

Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Additional file 1. Example of translation from VCF into GDM format for genomic region data: This .xlsx (MS Excel) spreadsheet exemplifies the transformation of the original 1KGP mutations—expressed in VCF format—into GDM genomic regions. As a demonstrative example, some variants about chromosome X have been selected from the source data (in VCF format) and listed in the first table at the top of the file. The values of columns #CHROM, POS, REF and ALT appear...

Present and future distribution of bat hosts of sarbecoviruses: implications for conservation and public health

Renata Lara Muylaert, Tigga Kingston, Jinhong Luo, Maurício Humberto Vancine, Nikolas Galli, Colin Carlson, Reju Sam John, Maria Cristina Rulli & David Hayman
Global changes in response to human encroachment into natural habitats and carbon emissions are driving the biodiversity extinction crisis and increasing disease emergence risk. Host distributions are one critical component to identify areas at risk of viral spillover, and bats act as reservoirs of diverse viruses. We developed a reproducible ecological niche modelling pipeline for bat hosts of SARS-like viruses (subgenus Sarbecovirus), given that several closely-related viruses have been discovered and sarbecovirus-host interactions have gained...

Assessment of connectivity patterns of the marbled crab Pachygrapsus marmoratus in the Adriatic and Ionian seas through combination of genetic data and Lagrangian simulations

Lorenzo Zane, Ilaria Anna Maria Marino, Marcello Schiavina, Giorgio Aglieri, Stanislao Bevilacqua, Elisa Boscari, Leonardo Congiu, Sara Faggion, Claudia Kruschel, Chiara Papetti, Tomaso Patarnello, Marta Paterno, Emanuela Voutsinas & Paco Melià
Seascape connectivity studies, informing the level of exchange of individuals between populations, can provide extremely valuable data for marine population biology and conservation strategy definition. Here we used a multidisciplinary approach to investigate the connectivity of the marbled crab (Pachygrapsus marmoratus), a high dispersal species, in the Adriatic and Ionian basins. A combination of genetic analyses (based on 15 microsatellites screened in 314 specimens), Lagrangian simulations (obtained with a biophysical model of larval dispersal) and...

Additional file 2 of Genomic data integration and user-defined sample-set extraction for population variant analysis

Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Additional file 2. Example of transformed metadata: In this .xlsx (MS Excel) file, we list all the output metadata categories generated for each sample from the transformation of the 1KGP input datasets. The output metadata include information collected from all the four 1KGP metadata files considered. Some categories are not reported in the source metadata files—they are identified by the label manually_curated__...—and were added by the developed pipeline to store technical details (e.g., download date,...

Additional file 2 of Genomic data integration and user-defined sample-set extraction for population variant analysis

Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Additional file 2. Example of transformed metadata: In this .xlsx (MS Excel) file, we list all the output metadata categories generated for each sample from the transformation of the 1KGP input datasets. The output metadata include information collected from all the four 1KGP metadata files considered. Some categories are not reported in the source metadata files—they are identified by the label manually_curated__...—and were added by the developed pipeline to store technical details (e.g., download date,...

Additional file 2 of A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events

Andrea Cappozzo, Cathal McCrory, Oliver Robinson, Anna Freni Sterrantino, Carlotta Sacerdote, Vittorio Krogh, Salvatore Panico, Rosario Tumino, Licia Iacoviello, Fulvio Ricceri, Sabina Sieri, Paolo Chiodini, Gareth J. McKay, Amy Jayne McKnight, Frank Kee, Ian S. Young, Bernadette McGuinness, Eileen M. Crimmins, Thalida Em Arpawong, Rose Anne Kenny, Aisling O’Halloran, Silvia Polidoro, Giuliana Solinas, Paolo Vineis, Francesca Ieva … & Giovanni Fiorito
Additional file 2. Supplementary Tables S1, S2, and S3.

Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model

Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin & Agustín Mayo-Iscar
The Cluster Weighted Robust Model (CWRM) is a recently introduced methodology to robustly estimate mixtures of regressions with random covariates. The CWRM allows users to flexibly perform regression clustering, safeguarding it against data contamination and spurious solutions. Nonetheless, the resulting solution depends on the chosen number of components in the mixture, the percentage of impartial trimming, the degree of heteroscedasticity of the errors around the regression lines and of the clusters in the explanatory variables....

Graphical and computational tools to guide parameter choice for the cluster weighted robust model

Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin & Agustín Mayo-Iscar
The Cluster Weighted Robust Model (CWRM) is a recently introduced methodology to robustly estimate mixtures of regressions with random covariates. The CWRM allows users to flexibly perform regression clustering, safeguarding it against data contamination and spurious solutions. Nonetheless, the resulting solution depends on the chosen number of components in the mixture, the percentage of impartial trimming, the degree of heteroscedasticity of the errors around the regression lines and of the clusters in the explanatory variables....

Additional file 1 of Genomic data integration and user-defined sample-set extraction for population variant analysis

Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Additional file 1. Example of translation from VCF into GDM format for genomic region data: This .xlsx (MS Excel) spreadsheet exemplifies the transformation of the original 1KGP mutations—expressed in VCF format—into GDM genomic regions. As a demonstrative example, some variants about chromosome X have been selected from the source data (in VCF format) and listed in the first table at the top of the file. The values of columns #CHROM, POS, REF and ALT appear...

Registration Year

  • 2022
    10

Resource Types

  • Dataset
    10

Affiliations

  • Politecnico di Milano
    9
  • Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico
    4
  • Istituto Neurologico Mediterraneo
    2
  • Queen's University Belfast
    2
  • University of Insubria
    2
  • University of Sassari
    2
  • Human Technopole
    2
  • University of Campania "Luigi Vanvitelli"
    2
  • Trinity College Dublin
    2
  • The Alan Turing Institute
    2