46 skills found · Page 1 of 2
ncbi / AmrAMRFinderPlus - Identify AMR genes and point mutations, and virulence and stress resistance genes in assembled bacterial nucleotide and protein sequence.
griffithlab / RegtoolsIntegrate DNA-seq and RNA-seq data to identify mutations that are associated with regulatory effects on gene expression.
xuwd11 / Coursera BioinformaticsMy solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)
arpcard / Amr CurationA public repository for collective curation of antimicrobial resistance (AMR) genes and mutations. Submit, discuss, and resolve AMR curation issues.
CVI-SZU / StyleGene[CVPR 2023 Highlight] StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis
NCICCGPO / Gdan Tmp ModelsContainerized cancer subtype prediction tools for gene expression, miRNA, DNA methylation, somatic mutations and copy number variation.
huiqu18 / GeneMutationFromHEGene mutation and pathway activity prediction from H&E slides
oncojs / LolliplotChart to aid in understanding mutations and their location on a gene.
santa-dev / Santa SimA forward-time simulator for gene sequences modeling a variety of mutation and selection processes.
AmirhosseinHonardoust / Token GenomeA research-grade framework for extracting, classifying, and analyzing the “genetic” behavior of smart contract tokens. Identifies economic traits, supply mutations, fee patterns, permission risks, upgradeability vectors, and scam species using a structured gene taxonomy with risk scoring, HTML reports, and token comparison tools.
insitro / AllelicSeriesImplementation of gene-level rare coding variant association tests targeting allelic series: cases where increasingly deleterious mutations have increasingly large phenotypic effects.
gerstung-lab / MDS ExpressionR code for Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes
nagornovys / Cancer Cell EvolutiontugHall: a simulator of cancer cell evolution based on the hallmarks of cancer, linked to the mutational states of tumor-related genes. This is a script in R to simulate the cancer cell evolution in the framework of Hallmarks model proposed by prof. Mamoru Kato.
stilingue-inteligencia-artificial / Vuex Generic MutationsThis is a plugin for adding generic mutations on Vuex modules.
matthewmain / EvolveJSEvolveJS is a robust genetics library modeled on Mendelian inheritance and Darwinian selection. When implemented into any self-replicating JavaScript object instance, the library can be used to produce descendant instances whose quantifiable variables are handled as heritable genes. Sequential replication iterations are then subject to the laws of Mendelian inheritance, gene mutation, and, when Darwinian environmental selection pressures are applied, in time, evolution.
CamaraLab / TDA TCGAR package for the identification of cancer-associated mutated genes using gene expression and mutation data.
TekExplorer / Riverpod Mutations GeneratorNo description available
tonygeorge1984 / Python Sars Cov 2 Mutation AnalysisAnalysis of Sars Cov-2 Gene Mutations using Python Numpy and Matplotlib
KarchinLab / Probabilistic2020Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test
shaoli86 / DiscoverSLA computational pipeline to predict synthetic lethality in cancers from multi-omic cancer data from The Cancer Genome Atlas (TCGA). Features derived from mutation, copy number alteration and gene expression data are combined to develop a multi-parametric Random Forest classifier for prediction of synthetic lethal interaction in cancers.
