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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.
Software toolkit for biological sequence analysis and -presentation combined into a single binary. It is used for genome analysis, efficient processing of structured genome annotations and contains binaries for sequence and annotation handling, sequence compression, index structure generation and access, annotation visualization.
Proper citation: GenomeTools (RRID:SCR_016120) Copy
Software for syntax highlighting for computational biology.
Proper citation: bioSyntax (RRID:SCR_016207) Copy
IDEPI is a domain-specific and extensible software library for supervised learning of models that relate genotype to phenotype for HIV-1 and other organisms. IDEPI makes use of open source libraries for machine learning (scikit- learn, scikit-learn.org/), sequence alignment (HMMER, hmmer.janelia.org/), sequence manipulation (BioPython, biopython.org), and parallelization (joblib, pythonhosted.org/joblib), and provides a programming interface to allow the users to engineer sequence features and select machine learning algorithms appropriate for their application.
Proper citation: IDEPI - IDentify EPItopes (RRID:SCR_016171) Copy
https://odmltables.readthedocs.io
Software that facilitates the handling of metadata collections stored in the odML format. Some supported operations include reduction, merging of odml structures, and the conversion from the hierarchical odML format to tabular formats.
Proper citation: odMLtables (RRID:SCR_016228) Copy
https://github.com/sorgerlab/ashlar
Software for image processing of cyclic immunofluorescence data. It performs alignment by simultaneous harmonization of layer/adjacency registration.
Proper citation: ASHLAR (RRID:SCR_016266) Copy
Software as an open source machine learning framework for everyone. Library for high performance numerical computation. Allows deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
Proper citation: tensorflow (RRID:SCR_016345) Copy
https://www.ebi.ac.uk/metagenomics/
Portal for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. Provides functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets held within the European Nucleotide Archive (ENA).Microbiome analysis resource in 2020.
Proper citation: MGnify (RRID:SCR_016429) Copy
https://www.ncbi.nlm.nih.gov/geo/info/geo2r.html
Software as an interactive web tool to compare two or more groups of samples in a Gene Expression Omnibus (GEO) series regardless of data type and quality. Used to identify genes that are differentially expressed across experimental conditions. Results are presented as a table of genes ordered by significance.
Proper citation: GEO2R (RRID:SCR_016569) Copy
https://omictools.com/splicing-express-tool
Software suite for Alternative Splicing Events (ASEs) analysis from transcriptome sequencing data in any transcriptome. Used for identification, annotation and visualization. Written in Perl and suitable to run only in UNIX-like systems.
Proper citation: Splicing Express (RRID:SCR_016498) Copy
https://github.com/PF2-pasteur-fr/SARTools
Software package as a DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data.
Proper citation: SARTools (RRID:SCR_016533) Copy
http://saclab.tamu.edu/essentiality/transit/
Software tool Python based and open source for statistical analysis of TnSeq data. Provides a graphical interface to three different statistical methods for analyzing TnSeq data capable of identifying essential genes in individual datasets as well as comparative analysis between conditions.
Proper citation: TRANSIT (RRID:SCR_016492) Copy
http://research-pub.gene.com/gmap/
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. A software program for mapping and aligning cDNA sequences to a genome. The program maps and aligns a single sequence with minimal startup time and memory requirements, and provides fast batch processing of large sequence sets. The program generates accurate gene structures, even in the presence of substantial polymorphisms and sequence errors, without using probabilistic splice site models. Methodology underlying the program includes a minimal sampling strategy for genomic mapping, oligomer chaining for approximate alignment, sandwich DP for splice site detection, and microexon identification with statistical significance testing.
Proper citation: GMAP (RRID:SCR_008992) Copy
http://bioinfo.au.tsinghua.edu.cn/software/seqsaw/
A package for mapping of spliced reads and unbiased detection of novel splice junctions from RNA-seq data.
Proper citation: SeqSaw (RRID:SCR_009185) Copy
http://wpicr.wpic.pitt.edu/WPICCompGen/bars.htm
Software application that is a statistical method that bridges the gap between single-locus and haplotype-based tests of association. It is based on the non-parametric regression techniques embodied by Bayesian Adaptive Regression Splines. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: BARS (RRID:SCR_009123) Copy
http://www.cbs.dtu.dk/services/NetOGlyc/
Server that produces predictions of mucin-type GalNAc O-glycosylation sites in mammalian proteins.
Proper citation: NetOGlyc (RRID:SCR_009026) Copy
https://github.com/SuperElastix/elastix
Software toolbox for rigid and nonrigid registration of images. Software, based on Insight Segmentation and Registration Toolkit (ITK). The software consists of a collection of algorithms that are commonly used to solve (medical) image registration problems. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. A command-line interface enables automated processing of large numbers of data sets, by means of scripting.
Proper citation: elastix (RRID:SCR_009619) Copy
An application for discovering potential splice junctions in high throughput sequencing (HTS) data.
Proper citation: Supersplat (RRID:SCR_009826) Copy
http://bioinf.cs.ucl.ac.uk/psipred/
Web tool as secondary structure prediction method, incorporating two feed forward neural networks which perform analysis on output obtained from PSI-BLAST. Web server offering analyses of protein sequences.
Proper citation: PSIPRED (RRID:SCR_010246) Copy
http://purl.bioontology.org/ontology/IMGT-ONTOLOGY
Ontology for immunogenetics and immunoinformatics. Provides semantic specification of terms to be used in immunogenetics and immunoinformatics and manages related knowledge, thus allowing standardization for immunogenetics data from genome, proteome, genetics, two-dimensional (2D) and three-dimensional (3D) structures. Manages the knowledge through diverse facets relying on seven axioms, IDENTIFICATION, CLASSIFICATION, DESCRIPTION, NUMEROTATION, LOCALIZATION, ORIENTATION and OBTENTION. These axioms postulate that any object, any process and any relation can be identified, classified, described, numbered, localized and orientated, and the way it is obtained can be characterized. The axioms constitute the Formal IMGT-ONTOLOGY, also designated as IMGT-Kaleidoscope. As the same axioms can be used to generate concepts for multi-scale level approaches, the Formal IMGT-ONTOLOGY represents a paradigm for system biology ontologies, which need to identify, to classify, to describe, to number, to localize and to orientate objects, processes and relations at the molecule, cell, tissue, organ, organism or population levels. IMGT, the international ImMunoGeneTics information system, has been built on IMGT-ONTOLOGY. The version 1.0.2 of IMGT-ONTOLOGY includes the concepts of IDENTIFICATION and the concepts of CLASSIFICATION.
Proper citation: IMGT-ONTOLOGY (RRID:SCR_010342) Copy
http://soap.genomics.org.cn/soapsnp.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software providng a method based on Bayes? theorem (the reverse probability model) to call consensus genotype by carefully considering the data quality, alignment, and recurring experimental errors., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SOAPsnp (RRID:SCR_010602) Copy
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