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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.

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  • RRID:SCR_016139

    This resource has 100+ mentions.

https://github.com/sdparekh/zUMIs

Software pipeline to process RNA-seq data with UMIs. The input to this pipeline is paired-end fastq files, where one read contains the cDNA sequence and the other read contains UMI and Cell Barcode information.

Proper citation: zUMIs (RRID:SCR_016139) Copy   


  • RRID:SCR_015060

    This resource has 100+ mentions.

https://dogma.ccbb.utexas.edu/

Web-based annotation tool for plant chloroplasts and animal mitochondrial genomes. DOGMA allows the use of BLAST searches against a custom database, and conservation of basepairing in the secondary structure of animal mitochondrial tRNAs to identify and annotate genes.

Proper citation: DOGMA (RRID:SCR_015060) Copy   


  • RRID:SCR_013122

    This resource has 1+ mentions.

http://cuke.hort.ncsu.edu/cucurbit/wehner/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. SAS software program to estimate genetic effects and heritabilities of quantitative traits in breeding populations consisting of six related generations (entry from Genetic Analysis Software)

Proper citation: SASQUANT (RRID:SCR_013122) Copy   


  • RRID:SCR_013123

    This resource has 50+ mentions.

http://www.aps.uoguelph.ca/~msargol/qmsim/

Software application designed to simulate a wide range of genetic architectures and population structures in livestock. Large scale genotyping data and complex pedigrees can be efficiently simulated. QMSim is a family based simulator, which can also take into account predefined evolutionary features, such as LD, mutation, bottlenecks and expansions. The simulation is basically carried out in two steps: In the first step, a historical population is simulated to establish mutation-drift equilibrium and, in the second step, recent population structures are generated, which can be complex. QMSim allows for a wide range of parameters to be incorporated in the simulation models in order to produce appropriate simulated data. (entry from Genetic Analysis Software)

Proper citation: QMSIM (RRID:SCR_013123) Copy   


  • RRID:SCR_014609

    This resource has 5000+ mentions.

http://huttenhower.sph.harvard.edu/galaxy

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Algorithm for high-dimensional biomarker discovery and explanation that identifies genes, pathways, or taxa characterizing the differences between two or more biological conditions. The algorithm identifies features that are statistically different among biological classes, then performs additional tests to assess whether these differences are consistent with respect to expected biological behavior. Statistical significance and biological relevance are emphasized., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: LEfSe (RRID:SCR_014609) Copy   


  • RRID:SCR_016090

    This resource has 1+ mentions.

https://github.com/ekg/fastahack

Software application for indexing and extracting sequences and subsequences from FASTA files. It will only generate indexes for FASTA files in which the sequences have self-consistent line lengths.

Proper citation: Fastahack (RRID:SCR_016090) Copy   


  • RRID:SCR_017960

    This resource has 1+ mentions.

https://github.com/HMPNK/CSA2.6

Software pipeline for high-throughput chromosome level vertebrate genome assembly. Pipeline, which after contig assembly performs post assembly improvements by ordering assembly and closing gaps, as well as splitting of low supported regions.

Proper citation: Chromosome Scale Assembler (RRID:SCR_017960) Copy   


  • RRID:SCR_017547

    This resource has 10+ mentions.

https://github.com/dmis-lab/biobert

Pre-trained biomedical language representation model for biomedical text mining. This repository provides fine-tuning codes of BioBERT, language representation model for biomedical domain, especially designed for biomedical text mining tasks such as biomedical named entity recognition, relation extraction, question answering, etc.

Proper citation: BioBERT (RRID:SCR_017547) Copy   


  • RRID:SCR_018292

    This resource has 1+ mentions.

https://github.com/OpenMendel/MendelIHT.jl

Software Julia package that implements iterative hard thresholding as multiple regression model for GWAS. Built-in support for handling PLINK and VCF files, parallel computing, fits a variety of GLM models, and handles grouping/weighting SNPs.

Proper citation: MendelIHT.jl (RRID:SCR_018292) Copy   


  • RRID:SCR_018316

    This resource has 50+ mentions.

https://bioconda.github.io/

Software distribution management for life sciences. Channel for Conda package manager specializing in bioinformatics software. Consists of repository of recipes hosted on GitHub, build system turning these recipes into conda packages, repository of packages containing bioinformatics packages ready to use with conda install.

Proper citation: BioConda (RRID:SCR_018316) Copy   


  • RRID:SCR_018962

    This resource has 1+ mentions.

https://github.com/mridulaprasad/CorrDrugTumorMSI

Software R pipeline to correlate drug distribution with tumor tissue types in mass spectrometry imaging data.

Proper citation: CorrDrugTumorMSI (RRID:SCR_018962) Copy   


  • RRID:SCR_018877

    This resource has 1+ mentions.

https://github.com/cobilab/geco3/

Software tool as DNA compressor that uses neural network to do mixing of experts.

Proper citation: GeCo3 (RRID:SCR_018877) Copy   


  • RRID:SCR_019291

    This resource has 1+ mentions.

https://github.com/liqiwei2000/BayesEpiModels

Software tool for accessing performance of different epidemiological models, including both growth and compartmental models, in Bayesian framework.

Proper citation: BayesEpiModels (RRID:SCR_019291) Copy   


  • RRID:SCR_015501

    This resource has 5000+ mentions.

http://www.microbesonline.org/fasttree/

Source code that infers approximately-maximum-likelihood phylogenetic trees from alignments of nucleotide or protein sequences. It uses the Jukes-Cantor or generalized time-reversible (GTR) models of nucleotide evolution and the JTT, WAG, or LG models of amino acid evolution.

Proper citation: FastTree (RRID:SCR_015501) Copy   


  • RRID:SCR_015502

    This resource has 500+ mentions.

https://cran.r-project.org/web/packages/phytools/index.html

Software R package for phylogenetic comparative biology. The package contains various functions for phylogenetic analysis of comparative data from species.

Proper citation: phytools (RRID:SCR_015502) Copy   


  • RRID:SCR_015654

    This resource has 100+ mentions.

https://cran.r-project.org/web/packages/lme4/index.html

Software R package. Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue."

Proper citation: lme4 (RRID:SCR_015654) Copy   


  • RRID:SCR_007381

    This resource has 10+ mentions.

http://www.e-cell.org/

Software platform, general technologies and theoretical supports for computational biology with the grand aim to make precise whole cell simulation at the molecular level possible.Technologies include formalisms and techniques, including technologies to predict, obtain or estimate parameters such as reaction rates and concentrations of molecules in the cell. The E-Cell System is a software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale system like the cell. The E-Cell Project is open to anyone who shares the view with u that development of cell simulation technology, and, even if such ultimate goal might not be within ten years of reach yet, solving various conceptual, computational and experimental problems that will continue to arise in the course of pursuing it, may have a multitude of eminent scientific, medical and engineering impacts on our society.

Proper citation: Electronic Cell Project (RRID:SCR_007381) Copy   


  • RRID:SCR_007973

    This resource has 100+ mentions.

http://enhancer.lbl.gov/

Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth.

Proper citation: VISTA Enhancer Browser (RRID:SCR_007973) Copy   


  • RRID:SCR_008132

    This resource has 100+ mentions.

https://www.ncbi.nlm.nih.gov/genbank/dbest/

Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms.

Proper citation: dbEST (RRID:SCR_008132) Copy   


  • RRID:SCR_007959

    This resource has 100+ mentions.

http://t1dbase.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data.

Proper citation: T1DBase (RRID:SCR_007959) Copy   



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