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EasyFuse
EasyFuse is a pipeline for accurate fusion gene detection from RNA-seq data.seq2HLA
In-silico method written in Python and R to determine HLA genotypes of a sample. seq2HLA takes standard RNA-Seq sequence reads in fastq format as input, uses a bowtie index comprising all HLA alleles and outputs the most likely HLA class I and class II genotypes (in 4 digit resolution), a p-value for each call, and the expression of each class.neofox
Annotation of mutated peptide sequences with published or novel potential neoantigen descriptorstronflow-mutect2
Nextflow pipeline for Mutect2 somatic variant calling best practicescovigator-ngs-pipeline
A Nextflow pipeline for NGS variant calling on SARS-CoV-2. From FASTQ files to normalized and annotated VCF files from GATK, BCFtools, LoFreq and iVar.splice2neo
R package to analyze aberrant splicing junctions in tumor samples to identify neoepitopestronflow-alignment
Nextflow pipeline for BWA, BWA2 and STAR alignmentscovigator
CoVigator - Monitoring SARS-CoV-2 mutationsvafator
Annotate variants in a VCF file with technical annotations from one or more BAMsTCLP
an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expressiontronflow-hla-hd
A Nextflow workflow for HLA typing using HLA-HDtronflow-vcf-postprocessing
A Nextflow variant normalization pipeline based on vt and bcftoolstronflow-bam-preprocessing
Nextflow pipeline for the preprocessing of BAM files based on GATK best practices. Marking duplicates, realignment around indels, base quality score recalibration (BQSR) and reporting of metrics are optional to maintain flexibility for different use cases.easyquant
Quantification of reads at defined positions to verify custom input sequences.ArtiFusion
ArtiFusion is a tool to simulate artificial fusion events by modifying a given reference genome. The tool copies parts of the exonic sequence of gene A within the reference genome FASTA sequence into the downstream region of gene B and replaces the copied regions of gene A with Ns. The breakpoints are defined by using a size ratio between gene A and gene B and are always placed on exon-exon junctions. Intronic and intergenic regions remain unchanged. The approach can be used to benchmark fusion detection tools with realistic biological data. In contrast to simulating NGS reads (ART package, https://www.niehs.nih.gov/research/resources/software/biostatistics/art/index.cfm), we do not lose the biological relevance of sequencing data.SV-LRvsSR
A study to compare structural variation (SV) predictions from 10X Genomics linked-reads sequencing (10XWGS) and conventional Illumina short-reads sequencing (cWGS).omicron-analysis
Analysis code, data and figures on the omicron MHC binding papervariantmedium
tronflow-strelka2
Strelka2 nextflow pipelinetronflow
TronFlow documentationtronflow-lofreq
LoFreq nextflow pipelinetronflow-haplotype-caller
A nextflow pipeline implementing GATK's HaplotypeCaller best practicesmilneo_analysis
Code related to the manuscript "Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates"splicing_manuscript_scripts
Scripts related to the manuscript "Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates"tronflow-test-data
A collection of test data for our TronFlow pipelinestronflow-copy-number-calling
A nextflow workflow for copy number callingLove Open Source and this site? Check out how you can help us