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https://www.malvernpanalytical.com/en/products/product-range/omnisec/accessories/omnisec-software

Software for OMNISEC instrument control, data acquisition, analysis and reporting. Used for advanced analysis of proteins and polymers by GPC/SEC, and is specifically designed for control of OMNISEC RESOLVE and OMNISEC REVEAL.

Proper citation: OMNISEC (RRID:SCR_024485) Copy   

•   Source: SciCrunch Registry

http://pbil.univ-lyon1.fr/software/phyldog/

Software tool to simultaneously build gene and species trees when gene families have undergone duplications and losses. Can analyze thousands of gene families in dozens of genomes simultaneously.

Proper citation: PHYLDOG (RRID:SCR_024487) Copy   

•   Source: SciCrunch Registry

https://github.com/chaoszhang/A-pro

Software tool for species tree reconstruction from multi-copy gene family trees.Used for estimating unrooted species tree given set of unrooted gene trees and is statistically consistent under the multi-species coalescent model. ASTRAL-pro extends ASTRAL to allow multi-copy genes. ASTRAL-Pro 2, ultrafast and memory efficient version of ASTRAL-Pro that adopts placement based optimization algorithm for significantly better scalability without sacrificing accuracy.

Proper citation: ASTRAL-Pro (RRID:SCR_024520) Copy   

•   Source: SciCrunch Registry

https://kmplot.com/analysis/

Web based survival analysis tool tailored for medical research. Used to assess correlation between expression of all genes (mRNA, miRNA, protein) and survival in samples from tumor types including breast, ovarian, lung, gastric, colon cancer, AML, and myeloma.

Proper citation: Kaplan Meier Plotter (RRID:SCR_024521) Copy   

•   Source: SciCrunch Registry

https://www.jenoptik.com/products/cameras-and-imaging-modules/microscope-cameras/progres-usb-20-firewire/software-download-progres

Software tool for image acquisition.Supports ProgRes microscope cameras and delivers optimal image quality and reproducible results.Included with all of Jenoptik ProgRes microscope cameras.

Proper citation: ProgRes Capture Pro (RRID:SCR_024489) Copy   

•   Source: SciCrunch Registry

http://madoka.denglab.org/

Web server as ultra fast approach for large scale protein structure similarity searching.The upload protein structure file should be in PDB format. Used for searching similar protein structures by aligning input structure with the whole PDB library.

Proper citation: MADOKA (RRID:SCR_024522) Copy   

•   Source: SciCrunch Registry

https://cab.spbu.ru/software/spades/

Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SPAdes (RRID:SCR_000131) Copy   

•   Source: SciCrunch Registry

https://www.iconplc.com/innovation/nonmem/

Software tool for nonlinear mixed effects modelling. Used for population pharmacokinetic and pharmacodynamic analysis and to simulate data and to fit data. Used in the development of new drugs. NONMEM versions up through 6 are the property of the Regents of the University of California, San Francisco, but ICON Development Solutions has exclusive rights to license their use. NONMEM 7 up to the current version is the property of ICON Development Solutions.

Proper citation: NONMEM (RRID:SCR_016986) Copy   

•   Source: SciCrunch Registry

http://www.cbs.dtu.dk/services/SignalP/

Web application for prediction of the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms. The method incorporates a prediction of cleavage sites and a signal peptide/non-signal peptide prediction based on a combination of several artificial neural networks.

Proper citation: SignalP (RRID:SCR_015644) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/resources/software/alien_hunter/

Alien_hunter is an application for the prediction of putative Horizontal Gene Transfer (HGT) events with the implementation of Interpolated Variable Order Motifs (IVOMs). This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. An IVOM approach exploits compositional biases using variable order motif distributions and captures more reliably the local composition of a sequence compared to fixed-order methods. Optionally the predictions can be parsed into a 2-state 2nd order Hidden Markov Model (HMM), in a change-point detection framework, to optimize the localization of the boundaries of the predicted regions. The predictions (embl format) can be automatically loaded into the freely available Artemis genome viewer.

Proper citation: Alien hunter (RRID:SCR_004575) Copy   

•   Source: SciCrunch Registry

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https://reich.hms.harvard.edu/software

EIGENSOFT package combines functionality from our population genetics methods (Patterson et al. 2006) and our EIGENSTRAT stratification method (Price et al. 2006). The EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls along continuous axes of variation; the resulting correction is specific to a candidate marker''s variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. The EIGENSOFT package has a built-in plotting script and supports multiple file formats and quantitative phenotypes. Source code, documentation and executables for using EIGENSOFT 3.0 on a Linux platform can be downloaded. New features of EIGENSOFT 3.0 include supporting either 32-bit or 64-bit Linux machines, a utility to merge different data sets, a utility to identify related samples (accounting for population structure), and supporting multiple file formats for EIGENSTRAT stratification correction.

Proper citation: Eigensoft (RRID:SCR_004965) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

Proper citation: Bioconductor (RRID:SCR_006442) Copy   

•   Source: SciCrunch Registry

http://www.helsinki.fi/~tsjuntun/linkage/analyze/

A set of useful accessory programs to the LINKAGE package. It simplifies the performance of a large array of parametric and nonparametric tests for linkage and association on data entered in LINKAGE format pedigree and parameter files. (entry from Genetic Analysis Software)

Proper citation: ANALYZE (RRID:SCR_009120) Copy   

•   Source: SciCrunch Registry

http://hydra.usc.edu/GxE

Software program that computes sample size or power for association studies of genes, environmental factors, gene-environment interaction, or gene-gene interaction. Available study designs for a disease (binary) outcome include the unmatched case-control, matched case-control, case-sibling, case-parent, and case-only designs. Study designs for a quantitative tra it include independent individuals and case parent designs. Quanto is a 32-bit Windows application requiring Windows 95, 98, NT, 2000, ME or XP to run. The graphical user interface allows th e user to easily change the model and view the results without having to edit an input file and rerun the program for every model. The results of a session are stored to a log file. This log can be printed or saved to a file for reviewing at a later date. An option is included to create a text file of the log that can be imported into other documents. (entry from Genetic Analysis Software)

Proper citation: QUANTO (RRID:SCR_009084) Copy   

•   Source: SciCrunch Registry

https://mathgen.stats.ox.ac.uk/impute/impute.html

Software application for estimating (imputing) unobserved genotypes in SNP association studies. The program is designed to work seamlessly with the output of the genotype calling program CHIAMO and the population genetic simulator HAPGEN, and it produces output that can be analyzed using the program SNPTEST. (entry from Genetic Analysis Software)

Proper citation: IMPUTE (RRID:SCR_009245) Copy   

•   Source: SciCrunch Registry

http://www.chibi.ubc.ca/Gemma

Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results.

Proper citation: Gemma (RRID:SCR_008007) Copy   

•   Source: SciCrunch Registry

http://www.ingenuity.com/

A horizontally and vertically structured database that pulls scientific and medical information and describes it consistently using the Ingenuity Ontology. The Knowledge Base pulls information from journals, public molecular content databases, and textbooks. Data is curated and and integrated into the Knowledge Base .

Proper citation: Ingenuity Pathways Knowledge Base (RRID:SCR_008117) Copy   

•   Source: SciCrunch Registry

http://www.mutationtaster.org/

Evaluates disease-causing potential of sequence alterations.

Proper citation: MutationTaster (RRID:SCR_010777) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/sss/wublast/

Tool to find regions of sequence similarity within selected protein databases quickly, with minimum loss of sensitivity.

Proper citation: WU-BLAST (RRID:SCR_011824) Copy   

•   Source: SciCrunch Registry

http://bioapps.rit.albany.edu/MITOPRED/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It predicts nuclear-encoded mitochondrial proteins from all eukaryotic species including plants. Prediction is based on the occurrence patterns of Pfam domains (version 16.0) in different cellular locations, amino acid composition and pI value differences between mitochondrial and non-mitochondrial locations. Additionally, you may download MITOPRED predictions for complete proteomes. Re-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. The Mitopred algorithm works based on the differences in the Pfam domain occurrence patters and amino acid composition differences in different cellular compartments. Location specific Pfam domains have been determined from the entire eukaryotic set of Swissprot database. Similarly, differences in the amino acid composition between mitochondrial and non-mitochondrial sequences were pre-calculated. This information is used to calculate location-specific amino acid weights that are used to calculate amino acid score. Similarly, pI average values of the N-terminal 25 residues in different cellular location were also determined. This knowledge-base is accessed by the program during execution.

Proper citation: mitopred (RRID:SCR_006135) Copy   

•   Source: SciCrunch Registry