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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://bioconductor.org/packages/devel/bioc/html/SeqGSEA.html
Software package that provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene''s differential expression and splicing, respectively.
Proper citation: SeqGSEA (RRID:SCR_005724) Copy
http://estscan.sourceforge.net/
ESTScan is a program that can detect coding regions in DNA sequences, even if they are of low quality. ESTScan will also detect and correct sequencing errors that lead to frameshifts. ESTScan is not a gene prediction program , nor is it an open reading frame detector. In fact, its strength lies in the fact that it does not require an open reading frame to detect a coding region. As a result, the program may miss a few translated amino acids at either the N or the C terminus, but will detect coding regions with high selectivity and sensitivity. ESTScan takes advantages of the bias in hexanucleotide usage found in coding regions relative to non-coding regions. This bias is formalized as an inhomogeneous 3-periodic fifth-order Hidden Markov Model (HMM). Additionally, the HMM of ESTScan has been extended to allows insertions and deletions when these improve the coding region statistics.
Proper citation: ESTScan (RRID:SCR_005742) Copy
http://ntap.cbi.pku.edu.cn/usage.php
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software for tiling array data analysis to survey the genome-wide binding sites of transcription factor HY5 in Arabidopsis and the genome-wide histone modifications/DNA methylation level in rice. It was developed in the process of generating NimbleGen analysis. Written in R and Perl.
Proper citation: NTAP (RRID:SCR_001488) Copy
https://www.biodiscovery.com/search/node?keys=Imagene
Software tool as convolutional neural network to quantify natural selection from genomic data.Supervised machine learning algorithm to predict natural selection and estimate selection coefficients from population genomic data. Can be used to estimate any parameter of interest from evolutionary population genetics model., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ImaGene (RRID:SCR_002178) Copy
Modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for the analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM) and it supports a lot of SPM data formats. However, it can be used for general height field and (greyscale) image processing, for instance for the analysis of profilometry data or thickness maps from imaging spectrophotometry.
Proper citation: Gwyddion (RRID:SCR_015583) Copy
https://www.bioconductor.org/packages/release/bioc/html/MetaNeighbor.html
Software package to assess cell type identity using both functional and random gene sets. Used for single cell replicability analysis to quantify cell type replicability across datasets using neighbor voting.
Proper citation: MetaNeighbor (RRID:SCR_016727) Copy
Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. It is a distributed collaborative effort to develop Python libraries and applications which address the needs of current and future work in bioinformatics. The source code is made available under the Biopython License, which is extremely liberal and compatible with almost every license in the world. It works along with the Open Bioinformatics Foundation, who generously host it''s website, bug tracker, and mailing lists. Sponsor: This resource is supported by the Open Bioinformatics Foundation. Keywords: Tool, Software, Python, Biological, Computation, Bioinformatics,
Proper citation: Biopython (RRID:SCR_007173) Copy
http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml
Software programs for segregation and linkage analysis, using a variety of Markov chain Monte Carlo (MCMC) methods. Includes MCMC methods for multilocus gene identity by descent (including homozygosity mapping) and Monte Carlo Lod scores. Also, other programs for EM analysis of quantitative traits.
Proper citation: MORGAN (RRID:SCR_006906) Copy
Software program for mapping quantitative trait loci in experimental crosses. (entry from Genetic Analysis Software)
Proper citation: R/QTL (RRID:SCR_009085) Copy
http://www.ncbi.nlm.nih.gov/CBBresearch/Schaffer/fastlink.html
Software application (entry from Genetic Analysis Software)
Proper citation: FASTLINK (RRID:SCR_009177) Copy
http://evolution.genetics.washington.edu/lamarc/lamarc_prog.html
Software application that estimates effective population sizes, exponential population growth rates, and past migration rates between two or n populations, and simultaneously estimates the per-nucleotide recombination rate. Currently Lamarc can use DNA or RNA sequence data, SNP data, and microsatellite data. (entry from Genetic Analysis Software)
Proper citation: LAMARC (RRID:SCR_009252) Copy
http://genome.sph.umich.edu/wiki/Minimac
Software application that is a low memory, computationally efficient implementation of the MaCH algorithm for genotype imputation. It is designed to work on phased genotypes and can handle very large reference panels with hundreds or thousands of haplotypes. The name has two parts. The first, mini, refers to the modest amount of computational resources it requires. The second, mac, is short hand for MaCH, our widely used algorithm for genotype imputation. (entry from Genetic Analysis Software)
Proper citation: MINIMAC (RRID:SCR_009292) Copy
http://www.sanger.ac.uk/resources/software/peer/
Software collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods. Applications of PEER have * detected batch effects and experimental confounders * increased the number of expression QTL findings by threefold * allowed inference of intermediate cellular traits, such as transcription factor or pathway activations This project offers an efficient and versatile C++ implementation of the underlying algorithms with user-friendly interfaces to R and python.
Proper citation: PEER (RRID:SCR_009326) Copy
http://www.openbioinformatics.org/annovar/
An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform: 1. gene-based annotation. 2. region-based annotation. 3. filter-based annotation. 4. other functionalities. (entry from Genetic Analysis Software)
Proper citation: ANNOVAR (RRID:SCR_012821) Copy
http://perlprimer.sourceforge.net/
A free, open-source GUI software application written in Perl that designs primers for standard PCR, bisulphite PCR, real-time PCR (QPCR) and sequencing.
Proper citation: PerlPrimer (RRID:SCR_012038) Copy
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
http://cran.r-project.org/web/packages/CpGassoc/index.html
Software R package to test association between methylation at CpG sites across genome and phenotype of interest, adjusting for any relevant covariates. Can perform standard analyses of large datasets without need to manually input data. Can handle mixed effects models with chip or batch entering model as random intercept. Includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.
Proper citation: CpGassoc (RRID:SCR_000320) Copy
Division of NCI that takes prospective cancer detection and treatment leads, facilitates their paths to clinical application, and expedites the initial and subsequent large-scale testing of new agents, biomarkers, imaging tests, and other therapeutic interventions (radiation, surgery, immunotherapy) in patients. DCTD, like all of NCI, supports many programs that could not be done without government funding - investigators supported by the division engage in scientifically sound, high-risk research that may yield great benefits for patients with cancer, but are too difficult or risky for industry or academia to pursue. This includes a particular emphasis on the development of distinct molecular signatures for cancer, refined molecular assays, and state-of-the-art imaging techniques that will guide oncologic therapy in the future. The division has eight major programs that work together to bring unique molecules, diagnostic tests, and therapeutic interventions from the laboratory bench to the patient bedside: * Cancer Diagnosis Program * Cancer Imaging Program * Cancer Therapy Evaluation Program * Developmental Therapeutics Program * Radiation Research Program * Translational Research Program * Biometrics Research Branch * Office of Cancer Complementary and Alternative Medicine
Proper citation: DCTD (RRID:SCR_004196) Copy
http://nucleobytes.com/index.php/4peaks
Software application for viewing and editing sequence trace files.
Proper citation: 4Peaks (RRID:SCR_000015) Copy
http://apps.cytoscape.org/apps/pepper
A Cytoscape app designed to identify protein pathways / complexes as densely connected subnetworks from seed lists of proteins derived from pull-down assays (i.e AP-MS...).
Proper citation: PEPPER (RRID:SCR_000431) Copy
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