Manuel Belmadani

发表

MotifGP: DNA Motif Discovery Using Multiobjective Evolution

Manuel Belmadani, 2016 .

A comprehensive analysis of 3′ end sequencing data sets reveals novel polyadenylation signals and the repressive role of heterogeneous ribonucleoprotein C on cleavage and polyadenylation

Ralf Schmidt, Mihaela Zavolan, Manuel Belmadani, 2015, bioRxiv.

Systematic phenomics analysis of ASD-associated genes reveals shared functions and parallel networks underlying reversible impairments in habituation learning

C. Rankin, P. Pavlidis, T. A. McDiarmid, 2019, bioRxiv.

Interactive Exploration, Analysis, and Visualization of Complex Phenome–Genome Datasets with ASPIREdb

Powell Patrick Cheng Tan, P. Pavlidis, S. Rogic, 2016, Human mutation.

Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction

Barry P. Young, Christopher J. R. Loewen, C. Rankin, 2019, Nature Communications.

Optimizations in Bioinformatics using GPU Processing on Binary Data

Manuel Belmadani, Manuel Belmadani, 2013 .

A comprehensive analysis of 3’ end sequencing data sets reveals novel polyadenylation signals and the repressive role of heterogenous ribonucleoprotein C on cleavage and polyadenylation

M. Zavolan, W. Keller, Andreas J. Gruber, 2015, bioRxiv.

VariCarta: a comprehensive database of harmonized genomic variants found in ASD sequencing studies

P. Pavlidis, S. Rogic, Manuel Belmadani, 2019, bioRxiv.

A critical assessment of single-cell transcriptomes sampled following patch-clamp electrophysiology

P. Pavlidis, S. Tripathy, Manuel Belmadani, 2018, bioRxiv.

A critical assessment of single-cell transcriptomes sampled following patch-clamp electrophysiology

P. Pavlidis, S. Tripathy, Manuel Belmadani, 2018, bioRxiv.

Whole genome sequencing and variant discovery in the ASPIRE autism spectrum disorder cohort

Powell Patrick Cheng Tan, Yingrui Li, P. Pavlidis, 2019, Clinical genetics.

Systematic phenomics analysis of autism-associated genes reveals parallel networks underlying reversible impairments in habituation

C. Rankin, P. Pavlidis, T. A. McDiarmid, 2019, Proceedings of the National Academy of Sciences.

Cataloging the potential functional diversity of Cacna1e splice variants using long-read sequencing

P. Pavlidis, T. Snutch, Manuel Belmadani, 2022, bioRxiv.

Curation of over 10 000 transcriptomic studies to enable data reuse

Paul Pavlidis, Justin Leong, Nathaniel Lim, 2020, bioRxiv.

VariCarta: A Comprehensive Database of Harmonized Genomic Variants Found in Autism Spectrum Disorder Sequencing Studies

P. Pavlidis, S. Rogic, Manuel Belmadani, 2019, Autism research : official journal of the International Society for Autism Research.

Assessing Transcriptome Quality in Patch-Seq Datasets

Shreejoy J. Tripathy, Lilah Toker, B. Ogan Mancarci, 2018, Front. Mol. Neurosci..

Whole genome sequencing and variant discovery in the ASPIRE autism spectrum disorder cohort

Powell Patrick Cheng Tan, P. Pavlidis, S. Rogic, 2019, Clinical genetics.