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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://microarrays.curie.fr/publications/U900-RPPA_PLT/Normacurve/
Analysis methodology that allows simultaneous quantification and normalization of reverse phase protein array (RPPA) data.
Proper citation: NormaCurve (RRID:SCR_001995) Copy
https://github.com/xflouris/gapmis
A software tool for pairwise sequence alignment with a single gap.
Proper citation: GapMis (RRID:SCR_001999) Copy
A software program for functional annotation of genomic single nucleotide polymorphisms (SNPs) which is available to download as a single file executable for WINDOWS users with limited computational experience and as a Python script for Mac OS and Linux users. It needs only a tab delimited text file containing SNP locations, reference nucleotide and SNPs in different strains along with a reference genome sequence in standard GenBank or EMBL format. It annotates SNPs as synonymous, non-synonymous or nonsense. Non-synonymous SNPs in start and stop codons are separated as non-start and non-stop SNPs, respectively. SNPs in overlapping features are annotated separately for each feature and multiple nucleotide polymorphisms (MNPs) within a codon are combined prior to annotation. A workflow has also been developed for use in Galaxy to map short reads to a reference genome and extract and annotate the SNPs.
Proper citation: TRAMS (RRID:SCR_002003) Copy
http://drpowell.github.io/vennt/
A web-tool to generate dynamic Venn diagrams for differential gene expression.
Proper citation: Vennt (RRID:SCR_002083) Copy
http://www.bioconductor.org/packages/release/bioc/html/TEQC.html
An R/Bioconductor package for quality assessment of target enrichment experiments. This package provides functionalities for assessing and visualizing the quality of the target enrichment process, like specificity and sensitivity of the capture, per-target read coverage and so on.
Proper citation: TEQC (RRID:SCR_001943) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowViz.html
Software that provides visualization tools for flow cytometry data.
Proper citation: flowViz (RRID:SCR_002075) Copy
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://www.cancergenomics.org/
Consortium promoting communication and collaboration among cancer cytogenomics laboratories, who are interested in applying microarray technologies to cancer diagnosis and cancer research. Their oals are to (1) establish platform-neutral and cancer specific microarray designs for diagnostic purposes, (2) share cancer microarray data between participating institutions for education purposes, (3) create a public cancer array database, and (4) carry out multicenter cancer genome translational research. Collaboration amongst the different laboratories and researchers will not only provide validation for the microarray design(s) but ultimately provide more comprehensive molecular information and more accurate interpretation to better serve cancer patients and further cancer research. The CGC was officially incorporated in June 2010 as a not-for-profit organization.
Proper citation: Cancer Genomics Consortium (RRID:SCR_002384) Copy
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