The Bioinformatics Program at Mayo Clinic has created several software packages to analyze, visualize and interpret genomic data. We welcome feedback and comments.
These applications are freely available to academics. Scientific acknowledgment and authorship information can be found in the section describing each application.
A toolkit and set of catalogs to retrieve genomic annotation for variants, genes, diseases, conditions, genetic tests, and drugs.
miRNAs play a key role in normal physiology and various diseases such as cancer. However, analyzing miRNA sequencing data is challenging due to the requirement of significant computational resources and bioinformatics expertise. To address this, we present a comprehensive analysis pipeline for deep microRNA sequencing (CAP-miRSeq) that integrates read preprocessing, alignment, mature/precursor/novel miRNA qualification, variant detection in miRNA coding region, and flexible differential expression between experimental conditions. Using well characterized data, we demonstrated the pipeline’s superior performances, flexibilities, and practical use in research and biomarker discovery.
ChIP-RNA-seqPRO is a resource motivated by this current need and provides a strategy that enables the user to profile regulatory associations between epigenomic modifications and co/post-transcriptional processes.
GeneSetScan is a pre-compiled binary for 64-bit linux systems. It offers a general approach to scan genome-wide SNP data for gene-set association analyses.
GenomeSmasher is a set of tools used to create diploid FASTA files with containing snps, indels, duplications, deletions and translocations.
HiChIP: A high-throughput pipeline for integrative analysis of ChIP-Seq data HiChIP pipeline is designed for performing comprehensive analysis of chromatin immunoprecipitation and sequencing (ChIP-Seq) data. It can be used to analyze profiles from transcription factor binding, histone modifications, histone variants, and chromatin regulators. Paired-end and single-end NexGen sequencing data from ChIP experiment with different antibodies, […]
ICQ-lincRNA (Identification, Characterization, and Quantification of Long Intergenic Non-Coding RNAs), offers an end-to-end solution to identify and annotate expressed lincRNAs in next generation RNA sequencing data. Specifically, ICQ-lincRNA: Conducts ab-initio genome-wide transcript assembly by both Cufflinks and Scripture using Binary Alignment/Map (BAM) files Conducts downstream quantitative analyses including gene count, exon count, overlap with known […]
The MAP-RSeq workflow integrates a suite of open source bioinformatics tools along with in-house developed methods to analyze paired-end RNA-Seq data.
The PANDA (Pathway AND Annotation) Explorer is a data visualization tool capable of annotating genes with any data type and graphically displaying the result within the context of pathways.
A versatile tool for detecting copy number changes from exome sequencing data.
RVboost v0.1: RNA-seq variant prioritization approach for Illumina next-generation sequencing data.
The Streamlined Analysis and Annotation Pipeline for RRBS data (SAAP-RRBS) integrates read quality assessment/clean-up, alignment, methylation data extraction, annotation, reporting, and visualization. With this package, bioinformaticians or investigators can submit sequencing reads and quickly receive a fully annotated CpG methylation report.
SnowShoe-FTD is a bioinformatics tool to identify fusion transcripts from paired-end transcriptome sequencing data.
A post-processor to optimize the selection of tag SNPs from common bin-tagging programs. SNPPicker uses a multi-step search strategy in combination with a statistical model to produce optimal genotyping panels.
SoftSearch is a sensitive structural variant (SV) detection tool for Illumina paired-end next-generation sequencing data.
trace-rrbs v0.1: Targeted Alignment and Artificial Cytosine Elimination for RRBS for Illumina next-generation sequencing data.
TREAT is a Targeted RE-sequencing Annotation Tool that offers a comprehensive, open framework, end-to-end solution for analyzing and interpreting targeted re-sequencing data.