Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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://www.bioconductor.org/packages/release/bioc/html/affy.html
Software R package of functions and classes for the analysis of oligonucleotide arrays manufactured by Affymetrix. Used to process probe level data and for exploratory oligonucleotide array analysis.
Proper citation: affy (RRID:SCR_012835) Copy
http://www.bioconductor.org/packages/release/bioc/html/sva.html
Contains functions for removing batch effects and other unwanted variation in high-throughput experiment.
Proper citation: sva package (RRID:SCR_012836) Copy
http://www.bioconductor.org/packages/devel/bioc/html/TargetScore.html
Software to infer the posterior distributions of microRNA targets by probabilistically modelling the likelihood microRNA-overexpression fold-changes and sequence-based scores.
Proper citation: TargetScore (RRID:SCR_012933) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/RLMM.html
A Genotype Calling Algorithm for Affymetrix SNP Arrays.
Proper citation: RLMM (RRID:SCR_012984) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/charm.html
Software package that implements analysis tools for DNA methylation data generated using Nimblegen microarrays and the McrBC protocol.
Proper citation: charm (RRID:SCR_012992) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/BiSeq.html
Software package that provides useful classes and functions to handle and analyze targeted bisulfite sequencing (BS) data such as reduced-representation bisulfite sequencing (RRBS) data.
Proper citation: BiSeq (RRID:SCR_012993) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/MEDME.html
Software that allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments.
Proper citation: MEDME (RRID:SCR_012995) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/Rolexa.html
Software that provides probabilistic base calling, quality checks and diagnostic plots for Solexa sequencing data.
Proper citation: Rolexa (RRID:SCR_013017) Copy
http://bioconductor.org/packages/2.12/bioc/html/cn.mops.html
A data processing pipeline for copy number variations and aberrations (CNVs and CNAs) from next generation sequencing (NGS) data.
Proper citation: cn.mops (RRID:SCR_013036) Copy
http://www.bioconductor.org/packages//2.10/bioc/html/HiTC.html
Software package to explore high-throughput ''C'' data such as 5C or Hi-C.
Proper citation: HiTC (RRID:SCR_013175) Copy
http://www.bioconductor.org/packages/2.9/bioc/html/Repitools.html
Software tools for the analysis of enrichment-based epigenomic data.
Proper citation: Repitools (RRID:SCR_013242) Copy
http://www.bioconductor.org/packages//2.10/bioc/html/CancerMutationAnalysis.html
Software package that implements gene and gene-set level analysis methods for somatic mutation studies of cancer.
Proper citation: CancerMutationAnalysis (RRID:SCR_013181) Copy
A package for statistical relative quantification of proteins and peptides in global, targeted, and data-independent proteomics. It handles shotgun, label-free, and label-based Selected Reaction Monitoring, as well as SWATH/DIA (Data Independent Acquisition) experiments. MSStats provide functionality for data processing and visualization, model-based statistical analysis, and model-based sample size calculations.
Proper citation: MSstats (RRID:SCR_014353) Copy
https://bioconductor.org/packages/scTHI/
Software R package to identify active pairs of ligand receptors from single cells in order to study,among others, tumor host interactions. Contains set of signatures to classify cells from tumor microenvironment.
Proper citation: scTHI (RRID:SCR_018918) Copy
https://bioconductor.org/packages/variancePartition/
Software R package to quantify and interpret divers of variation in multilevel gene expression experiments.Provides statistical and visualization framework for studying drivers of variation in RNA-seq datasets in many types of high throughput genomic assays including RNA-seq gene-, exon- and isoform-level quantification, splicing efficiency, protein quantification, metabolite quantification, metagenomic assays, methylation arrays and epigenomic sequencing assays.
Proper citation: variancePartition (RRID:SCR_019204) Copy
https://bioconductor.org/packages/synergyfinder/
Software R package as efficient implementations for all popular synergy scoring models for drug combinations, including HSA, Loewe, Bliss and ZIP and visualization of synergy scores as either two dimensional or three dimensional interaction surface over dose matrix. Used to calculate and visualize synergy scores for drug combinations.
Proper citation: SynergyFinder (RRID:SCR_019318) Copy
https://sydneybiox.github.io/CiteFuse/
Software R package consisting of suite of tools for doublet detection, modality integration, clustering, differential RNA and protein expression analysis, antibody-derived tag evaluation, ligand-receptor interaction analysis and interactive web-based visualization of CITE-seq data.
Proper citation: CiteFuse (RRID:SCR_019321) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/DNAcopy.html
Software that segments DNA copy number data using circular binary segmentation to detect regions with abnormal copy number.
Proper citation: DNAcopy (RRID:SCR_012560) Copy
http://bioconductor.org/packages/release/bioc/html/MetaCyto.html
Software tool for automated meta-analysis of mass and flow cytometry data. Provides functions for preprocessing, automated gating and meta-analysis of cytometry data and collection of cytometry data from the ImmPort database.
Proper citation: MetaCyto (RRID:SCR_016415) Copy
https://bioconductor.org/packages/ggtree/
Software R package for visualization and annotation of phylogenetic trees with their covariates and other tree like structures with their annotation data. Can import evolutionary data from different tree file formats and analysis programs as well as other associated data from experiments so that various sources and types of data can be displayed on tree for comparison and further analyses.
Proper citation: ggtree (RRID:SCR_018560) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.