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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://genes.mit.edu/GENSCAN.html
Web server for identification of complete gene structures in genomic DNA.Tool for predicting locations and exon-intron structures of genes in genomic sequences from variety of organisms. Used for prediction of complete gene structures in human genomic DNA.
Proper citation: GENSCAN (RRID:SCR_013362) Copy
http://mendel.stanford.edu/SidowLab/downloads/gerp/
Software that identifies constrained elements in multiple alignments by quantifying substitution deficits. These deficits represent substitutions that would have occurred if the element were neutral DNA, but did not occur because the element has been under functional constraint. We refer to these deficits as Rejected Substitutions. Rejected substitutions are a natural measure of constraint that reflects the strength of past purifying selection on the element. GERP estimates constraint for each alignment column; elements are identified as excess aggregations of constrained columns. A false-positive rate (which is user-settable) is calculated using "shuffled" alignments in which the order of columns is randomized., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: GERP (RRID:SCR_000563) Copy
http://mendel.stanford.edu/sidowlab/downloads/quest/
A Kernel Density Estimator-based package for analysis of massively parallel sequencing data from chromatin immunoprecipitation (ChIP-seq) experiments.
Proper citation: Quantitative Enrichment of Sequence Tags (RRID:SCR_004065) Copy
http://petrov.stanford.edu/cgi-bin/Tlex.html
Software package for fast and accurate discovery, annotation, re-annotation and population analysis of Transposable Elements using Next-Generation Sequencing data.
Proper citation: T-lex (RRID:SCR_005134) Copy
http://cs.stanford.edu/group/genovo/
Software for a novel de novo sequence assembler that discovers likely sequence reconstructions under the model.
Proper citation: Genovo (RRID:SCR_011911) Copy
http://mendel.stanford.edu/SidowLab/downloads/MAPP/
Java program that predicts the impact of all possible amino acid substitutions on the function of the protein., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: MAPP (RRID:SCR_010775) Copy
http://dna-discovery.stanford.edu/software/rvd/
Algorithm for single nucleotide variant detection using next-generation resequencing. It estimates the error rate at each base position in the reference sequence utilizing a command-line user interface through MATLAB.
Proper citation: RVD (RRID:SCR_002635) Copy
Efficient protein multiple sequence alignment program, which has demonstrated a statistically significant improvement in accuracy compared to several leading alignment tools.
Proper citation: ProbCons (RRID:SCR_011813) Copy
http://www-stat.stanford.edu/~tibs/SAM/
Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.
Proper citation: SAM (RRID:SCR_010951) Copy
http://www.stanford.edu/group/wonglab/SpliceMap/
A de novo splice junction discovery and alignment tool.
Proper citation: SpliceMap (RRID:SCR_009650) Copy
https://github.com/nolanlab/cytospade
Cytoscape plugin that provides a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events (SPADE) algorithm for tree-based analysis and visualization of high-dimensional cytometry data.
Proper citation: CytoSPADE (RRID:SCR_001457) Copy
https://cran.r-project.org/src/contrib/Archive/PoissonSeq/
Software package that implements a method for normalization, testing, and false discovery rate estimation for RNA-sequencing data.
Proper citation: PoissonSeq (RRID:SCR_001784) Copy
https://github.com/pmelsted/BFCounter
Software program for counting k-mers in DNA sequence data. It identifies all the k-mers that occur more than once in a DNA sequence data set using a Bloom filter, a probabilistic data structure that stores all the observed k-mers implicitly in memory with greatly reduced memory requirements.
Proper citation: BFCounter (RRID:SCR_001248) Copy
http://lilab.stanford.edu/SNPiR/
Software for reliable Identification of Genomic Variants Using RNA-seq Data.
Proper citation: SNPiR (RRID:SCR_000557) Copy
http://genome-www.stanford.edu/TMA/combiner/
A Simple Software Tool to Permit Analysis of Replicate Cores on Tissue Microarrays., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: TMA-Combiner (RRID:SCR_005600) Copy
http://genome-www.stanford.edu/TMA/
Software Tools for High-Throughput Analysis and Archiving of Immunohistochemistry Staining Data Obtained with Tissue Microarrays.
Proper citation: Stanford TMA Software (RRID:SCR_005598) Copy
http://bioportal.bioontology.org/annotator
A Web service that annotates textual metadata (e.g. journal abstract) with relevant ontology concepts. NCBO uses this Web service to annotate resources in the NCBO Resource Index. They also provide this Web service as a stand-alone service for users. This Web service can be accessed through BioPortal or used directly in your software. Currently, the annotation workflow is based on syntactic concept recognition (using concept names and synonyms) and on a set of semantic expansion algorithms that leverage the semantics in ontologies (e.g., is_a relations). Their service methodology leverages ontologies to create annotations of raw text and returns them using semantic web standards.
Proper citation: NCBO Annotator (RRID:SCR_005329) Copy
Database and central repository for genetic, genomic, molecular and cellular phenotype data and clinical information about people who have participated in pharmacogenomics research studies. The data includes, but is not limited to, clinical and basic pharmacokinetic and pharmacogenomic research in the cardiovascular, pulmonary, cancer, pathways, metabolic and transporter domains. PharmGKB welcomes submissions of primary data from all research into genes and genetic variation and their effects on drug and disease phenotypes. PharmGKB collects, encodes, and disseminates knowledge about the impact of human genetic variations on drug response. They curate primary genotype and phenotype data, annotate gene variants and gene-drug-disease relationships via literature review, and summarize important PGx genes and drug pathways. PharmGKB is part of the NIH Pharmacogenomics Research Network (PGRN), a nationwide collaborative research consortium. Its aim is to aid researchers in understanding how genetic variation among individuals contributes to differences in reactions to drugs. A selected subset of data from PharmGKB is accessible via a SOAP interface. Downloaded data is available for individual research purposes only. Drugs with pharmacogenomic information in the context of FDA-approved drug labels are cataloged and drugs with mounting pharmacogenomic evidence are listed.
Proper citation: PharmGKB (RRID:SCR_002689) Copy
http://igenomed.stanford.edu/~junhee/JETTA/rnaseq.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented July 6, 2017. Software to detect alternatively spliced exons between two conditions, for example, between two groups of treated and untreated patients in a typical clinical study.
Proper citation: JETTA (RRID:SCR_003091) Copy
A division of the Stanford University Libraries, which produces the online versions of journals and other scholarly content.
Proper citation: HighWire Press (RRID:SCR_000761) Copy
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