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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.
Original SAMTOOLS package has been split into three separate repositories including Samtools, BCFtools and HTSlib. Samtools for manipulating next generation sequencing data used for reading, writing, editing, indexing,viewing nucleotide alignments in SAM,BAM,CRAM format. BCFtools used for reading, writing BCF2,VCF, gVCF files and calling, filtering, summarising SNP and short indel sequence variants. HTSlib used for reading, writing high throughput sequencing data.
Proper citation: SAMTOOLS (RRID:SCR_002105) Copy
https://www.bioconductor.org/packages//2.11/bioc/html/flowQB.html
A fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.
Proper citation: flowQB (RRID:SCR_002144) Copy
http://amigo.geneontology.org/
Web tool to search, sort, analyze, visualize and download data of interest. Along with providing details of the ontologies, gene products and annotations, features a BLAST search, Term Enrichment and GO Slimmer tools, the GO Online SQL Environment and a user help guide.Used at the Gene Ontology (GO) website to access the data provided by the GO Consortium. Developed and maintained by the GO Consortium.
Proper citation: AmiGO (RRID:SCR_002143) Copy
Online database for finding and analyzing syntenic regions across multiple genomes and measuring the extent of genome rearrangement using reversal distance as a measure.
Proper citation: Cinteny (RRID:SCR_002147) Copy
https://github.com/TGAC/miso-lims
Open source software for a Laboratory Information Management System (LIMS) for NGS sequencing centres.
Proper citation: miso-lims (RRID:SCR_002259) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowFit.html
A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.
Proper citation: flowFit (RRID:SCR_002286) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/spliceR.html
An easy-to-use R package for classification of alternative splicing and prediction of coding potential from RNA-seq data.
Proper citation: spliceR (RRID:SCR_002280) Copy
A comprehensive collection of experimentally determined and computationally predicted CCCTC-binding factor (CTCF) binding sites (CTCFBS) from the literature. The database is designed to facilitate the studies on insulators and their roles in demarcating functional genomic domains. The CTCFBS Prediction Tool allows users to scan sequences for the single best match to CTCF position weight matrices. Currently (March 2014), the database contains almost 15 million experimentally determined CTCF binding sites across several species. CTCF binding sites were collected from published papers containing CTCF binding sites identified using ChIPSeq or similar methods, data from the ENCODE project, and a set of approximately 100 manually curated binding sites identified by low-throughput experiments. Users can browse insulator sequence features, function annotations, genomic contexts including histone methylation profiles, flanking gene expression patterns and orthologous regions in other mammalian genomes. Users can also retrieve data by text search, sequence search and genomic range search.
Proper citation: CTCFBSDB (RRID:SCR_002279) Copy
http://code.google.com/p/frhit/
An efficient fragment recruitment software program for next generation sequences against microbial reference genomes. It produces similar sensitivity of BLASTN, but runs at a 100 times higher speed. The algorithm adopts a seeding heuristic strategy with overlapping k-mer hashing to locate candidate matching blocks on the reference sequences, and then apply an effective filtering within the candidate blocks to filter out blocks that do not meet the minimum criteria for containing an alignment with specified parameters. For each candidate block that passed the filter, the best matching sub-regions between a candidate block and a read are determined, and used subsequently by the banded Smith-Waterman algorithm to carry out the actual alignment efficiently, which will finally verify if this can be a valid recruitment hit.
Proper citation: FR-HIT (RRID:SCR_002181) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowPlots.html
Software for analysis plots and data class for gated flow cytometry data.
Proper citation: flowPlots (RRID:SCR_002177) Copy
http://cran.r-project.org/web/packages/metaRNASeq/
Software package for meta-analysis of RNA-seq data. This package implements two p-value combination techniques (inverse normal and Fisher methods). It also provides a vignette explaining how to combine data from multiple RNA-seq experiments.
Proper citation: metaRNASeq (RRID:SCR_002174) Copy
https://cran.r-project.org/src/contrib/Archive/demi/
R package for estimating differential expression from multiple indicators that capitalizes on the high number of concurrent measurements. It extends to various experimental designs and target categories (transcripts, genes, genomic regions) as well as small sample sizes.
Proper citation: DEMI (RRID:SCR_002291) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowCore.html
A Bioconductor software package for high throughput flow cytometry that provides S4 data structures and basic functions.
Proper citation: flowCore (RRID:SCR_002205) Copy
http://pfind.ict.ac.cn/se/plink/
Software dedicated for the analysis of chemically cross-linked proteins or protein complexes using mass spectrometry., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: pFind Studio: pLink (RRID:SCR_000084) Copy
http://www.tm4.org/spotfinder.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software designed for the rapid, reproducible and computer-aided analysis of microarray images and the quantification of gene expression.
Proper citation: Spotfinder (RRID:SCR_000085) Copy
http://www.computationalbioenergy.org/parallel-meta.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Open source pipeline for metagenomic data analysis, which enables efficient and parallel analysis of multiple metagenomic datasets and visualization of results for multiple samples. Can perform rapid data mining among microbial community data for comparative taxonomic and functional analysis.
Proper citation: Parallel-META (RRID:SCR_000121) Copy
http://biolemmatizer.sourceforge.net/
A domain-specific lemmatization software tool for the morphological analysis of biomedical literature.
Proper citation: BioLemmatizer (RRID:SCR_000117) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.
Proper citation: Orphelia (RRID:SCR_000119) Copy
http://www.bioconductor.org/packages/release/bioc/html/ReQON.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for recalibrating the base quality scores for aligned sequencing data in BAM format.
Proper citation: ReQON (RRID:SCR_000075) Copy
http://www.iro.umontreal.ca/~csuros/quadgt/
Software package for calling single-nucleotide variants in four sequenced genomes comprising a normal-tumor pair and the two parents. Genotypes are inferred using a joint model of parental variant frequencies, de novo germline mutations, and somatic mutations. The model quantifies the descent-by-modification relationships between the unknown genotypes by using a set of parameters in a Bayesian inference setting. Note that you can use it on any subset of the four related genomes, including parent-offspring trios, and normal-tumor pairs without parental samples.
Proper citation: QuadGT (RRID:SCR_000073) Copy
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