Article

Analysis of Mutations in Precision Oncology using The Automated, Accurate, and User-Friendly Web Tool PredictONCO

2024-06-11

Abstract excerpt

Next-generation sequencing technology has created many new opportunities for clinical diagnostics, but it faces the challenge of functional annotation of identified mutations. Various algorithms have been developed to predict the impact of missense variants that influence oncogenic drivers. However, computational pipelines that handle biological data must integrate multiple software tools, which can add complexity...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b6026ac5-43f3-575b-8908-d498090a4cc2
DOI: 10.1101/2024.06.08.598056

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Analysis of Mutations in Precision Oncology using The Automated, Accurate, and User-Friendly Web Tool PredictONCODOI 10.1101/2024.06.08.598056Read

PredictONCO: a web tool supporting decision-making in precision oncology by extending the bioinformatics predictions with advanced computing and machine learning.Semantic proximity Read

Swiss-PO 2025: Advancing Cancer Mutation and Structural Analysis for Precision Oncology With the Latest Release.Semantic proximity Read

Comprehensive assessment of computational algorithms in predicting cancer driver mutations.Semantic proximity Read

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers.Semantic proximity Read

predatoR: an R package for network-based mutation impact predictionSemantic proximity Read

Precise interpretation and prioritization of sequence variants with Onkopus for supporting molecular tumor boardsSemantic proximity Read

Mut-Map: Comprehensive Computational Pipeline for Structural Mapping and Analysis of Cancer-Associated Mutations.Semantic proximity Read

Predictive Modeling of Novel Somatic Mutation Impacts on Cancer Prognosis: A Machine Learning Approach Using the COSMIC DatabaseSemantic proximity Read

An interpretable molecular framework for predicting cancer driver missense mutationsSemantic proximity Read

Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer TreatmentSemantic proximity Read

OpenOncology: An Open-Source Framework for Evidence-Based Drug Matching and De Novo Custom Drug Discovery in Precision OncologySemantic proximity Read

ButterflyVI: enabling high-throughput variant interpretation and biomarker discovery with functional genomicsSemantic proximity Read