Tools   Select Another Resource Report Type

http://astridbio.com/genominer-genome-analyzer/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A next generation sequencing data analysis computer for biologists with or without IT background. It has an easy to-use graphical interface to analyze sequencing data in with only 15 clicks. A range of standard, add-on and custom applications help analyze and visualize data generated by Next Generation Sequencing machines. These are installed on each GenoMiner by default: * Reference assembly * De novo assembly * ChiP-Seq * BLAST * Hybrid de novo assembly * Hybrid reference assembly Add-on applications: * Quality assesment * RNA-Seq * Copy Number Variation (CNV) * Multiple Sequence Alignment * miRNA-Seq * Variant Calling

Proper citation: GenoMiner (RRID:SCR_001202) Copy   

•   Source: SciCrunch Registry

http://yiplab.cse.cuhk.edu.hk/probrna/

Software for computational identification of protein binding sites on RNAs using high-throughput RNA structure-probing data.

Proper citation: ProbRNA (RRID:SCR_001288) Copy   

•   Source: SciCrunch Registry

http://cbcb.umd.edu/~hcorrada/secgen/

Software for ultra-fast base-calling of second-generation sequencing data by blind deconvolution.

Proper citation: BlindCall (RRID:SCR_001280) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/science/programs/genome-biology/computational-rd/somaticcall-manual

Software program that finds single-base differences (substitutions) between sequence data from tumor and matched normal samples. It is designed to be highly stringent, so as to achieve a low false positive rate. It takes as input a BAM file for each sample, and produces as output a list of differences (somatic mutations). Note: This software package is no longer supported and information on this page is provided for archival purposes only.

Proper citation: SomaticCall (RRID:SCR_001196) Copy   

•   Source: SciCrunch Registry

https://vcftools.github.io/index.html

Software package for working with VCF files. Used to provide easily accessible methods for working with complex genetic variation data in the form of VCF files.Implements various utilities for processing Variant Call Format files, including validation, merging, comparing. Provides general Perl API.

Proper citation: VCFtools (RRID:SCR_001235) Copy   

•   Source: SciCrunch Registry

http://tron-mainz.de/tron-facilities/computational-medicine/seq2hla/

Software for obtaining an individualXs HLA class I and II type and expression using standard NGS (Next-generation sequencing) RNA-Seq data. It comprises mapping RNA-Seq reads against a reference database of HLA alleles, determining and reporting HLA type, confidence score and locus-specific expression level.

Proper citation: seq2HLA (RRID:SCR_001199) Copy   

•   Source: SciCrunch Registry

http://sequedex.lanl.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025.Software to classify the function and phylogeny of reads as short as 30 bp. It is flexible, which can utilize multiple data modules and downstream analysis scripts. It is fast, reading in signature lists of 5-500 million peptide signatures in 1-15 minutes, and subsequently processes genomic fragments at the rate of 6 Gbp/hr. It parallelizes without significant increase in memory requirements until I/O bound on multiple input files; parallelization works well on 64 processors.

Proper citation: Sequedex (RRID:SCR_001233) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.org/peakanalyzer/wiki/

A set of standalone software programs for the automated processing of any genomic loci, with an emphasis on datasets consisting of ChIP-derived signal peaks. The software is able to identify individual binding / modification sites from enrichment loci, retrieve peak region sequences for motif discovery, and integrate experimental data with different classes of annotated elements throughout the genome. PeakAnalyzer requires a peak file and a feature annotation file in BED or GTF format. Complete annotation files for the current builds of the human (HG19) and mouse (MM9) genomes are provided with the software distribution.

Proper citation: PeakAnalyzer (RRID:SCR_001194) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/metahdep.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Software tools for meta-analysis in the presence of hierarchical (and/or sampling) dependence, including with gene expression studies.

Proper citation: metahdep (RRID:SCR_001225) Copy   

•   Source: SciCrunch Registry

http://sv.gersteinlab.org/breakseq/

Software for scanning reads from short-read sequenced genomes against a human breakpoint library to accurately identify structural variants (SVs). The library of breakpoints at nucleotide resolution were assembled from collating and standardizing ~2,000 published structural variants (SVs). For each breakpoint, its ancestral state (through comparison to primate genomes) was inferred and its mechanism of formation (e.g., nonallelic homologous recombination, NAHR).

Proper citation: BreakSeq (RRID:SCR_001186) Copy   

•   Source: SciCrunch Registry

http://www-genepi.med.utah.edu/suppl/SLOPE/index.html

Software that consists of two command-line utilities, slope_align (which finds the best split-read alignments to the reference genome) and slope_cluster (which clusters and outputs the alignments)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SLOPE (RRID:SCR_001185) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/categoryCompare.html

A software package for meta-analysis of high-throughput experiments using feature annotations. It calculates significant annotations (categories) in each of two (or more) feature (i.e. gene) lists, determines the overlap between the annotations, and returns graphical and tabular data about the significant annotations and which combinations of feature lists the annotations were found to be significant. Interactive exploration is facilitated through the use of RCytoscape (heavily suggested).

Proper citation: categoryCompare (RRID:SCR_001223) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/MergeMaid.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. R extension whose functions are intended for cross-study comparison of gene expression array data. Required from the user is gene expression matrices, their corresponding gene-id vectors and other useful information, and they could be "list", "matrix", or "ExpressionSet". The main function is "mergeExprs" which transforms the input objects into data in the merged format, such that common genes in different datasets can be easily found. And the function "intcor" calculate the correlation coefficients. Other functions use the output from "modelOutcome" to graphically display the results and cross-validate associations of gene expression data with survival.

Proper citation: MergeMaid (RRID:SCR_001221) Copy   

•   Source: SciCrunch Registry

http://catch.cmbi.ru.nl/

Software tool for exploring patterns in Chromatin Immuno Precipitation (ChIP) profiling data. The CATCH algorithm performs a hierachical clustering of the profile patterns with an exhaustive alignment at each step. The algorithm has a user-friendly graphical interface that makes it easy to browse results.

Proper citation: CATCHprofiles (RRID:SCR_001182) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/apps/mediawiki/breakway/index.php

A suite of software programs that take aligned genomic data and report structural variation breakpoints. Features include: * Takes in BAM formatted input, the current standard for genomic alignments. * Compatible with standard output from major alignment algorithms such as BFAST, BWA, MAQ, et cetera. * Capable of analyzing data from any major platform--Solexa, SOLiD, 454, et cetera. * Empirically identifies structural variation breakpoints. * Highly specific analysis generates very few false positives. * Includes a suite of downstream tools for annotating identified breakpoints and reducing false positives.

Proper citation: Breakway (RRID:SCR_001180) Copy   

•   Source: SciCrunch Registry

http://genomics1.mh-hannover.de/genometa/index.php?Site=Home

A Java based bioinformatics program which allows rapid analysis of metagenomic short read datasets. Millions of short reads can be accurately analysed within minutes and visualised in the browser component. A large database of diverse bacteria and archaea has been constructed as a reference sequence. The approach is based upon the established open source visualisation tool IGB and supported by the rapid alignment program bowtie. The Picard toolset for SAM files is also made use of.

Proper citation: Genometa (RRID:SCR_001181) Copy   

•   Source: SciCrunch Registry

http://www.tm4.org/madam.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022.Data management software implemented in Java that facilitates the entry of data into a relational database. It guides users through the microarray process from RNA procurement to data analysis, offering intelligent forms to simplify the tracking of experimental parameters and results that are essential for the interpretation of expression results in downstream analyses. Canned reports provide information on RNA samples, studies, slide maps and other pertinent data and a general SQL query window allows freeform access to the underlying database. MADAM also serves as a platform for launching other data entry and management tools. Through the use of these integrated modules, users can view and score PCR plates, design experiments and studies, and track laboratory materials.

Proper citation: MADAM (RRID:SCR_001216) Copy   

•   Source: SciCrunch Registry

http://www.webcitation.org/getfile?fileid=05c70eb653a3b267453212d27dd8ac8c211c0f96

Application that provides users an interface to design analysis protocols combining one or more normalization and filtering steps. In this way, data from many individual hybridizations can be treated in a uniform and reproducible manner.

Proper citation: Microarray Data Analysis System (RRID:SCR_001218) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/globaltest.html

A software package that tests groups of covariates (or features) for association with a response variable. The package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.

Proper citation: globaltest (RRID:SCR_001256) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/iterativeBMAsurv.html

Software package providing a variable selection method for applying survival analysis to microarray data.

Proper citation: iterativeBMAsurv (RRID:SCR_001254) Copy   

•   Source: SciCrunch Registry