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.
https://bioconductor.org/packages/org.Hs.eg.db/
Software R package as object for simple mapping of Entrez Gene identifiers https://www.ncbi.nlm.nih.gov/ entrez/query.fcgi?db=gene to all possible GenBank accession numbers.
Proper citation: org.Hs.eg.db (RRID:SCR_024739) Copy
http://www.bioconductor.org/packages/release/bioc/html/triplex.html
Software package that provides functions for identification and visualization of potential intramolecular triplex patterns in DNA sequence. The main functionality is to detect the positions of subsequences capable of folding into an intramolecular triplex (H-DNA) in a much larger sequence. The potential H-DNA (triplexes) should be made of as many canonical nucleotide triplets as possible. The package includes visualization showing the exact base-pairing in 1D, 2D or 3D.
Proper citation: Triplex (RRID:SCR_003061) Copy
http://www.bioconductor.org/packages/release/bioc/html/NormqPCR.html
Software package providing functions for the selection of optimal reference genes and the normalization of real-time quantitative PCR data.
Proper citation: NormqPCR (RRID:SCR_003388) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/minfi.html
Software that improves the results from the Illumina infinium HumanMethylation450 BeadChips by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.
Proper citation: SWAN (RRID:SCR_003455) Copy
http://www.bioconductor.org/packages//2.10/bioc/html/aCGH.html
Software functions for reading aCGH data from image analysis output files and clone information files, creation of aCGH S3 objects for storing these data. Basic methods for accessing/replacing, subsetting, printing and plotting aCGH objects.
Proper citation: aCGH (RRID:SCR_013232) Copy
http://www.bioconductor.org/packages/release/bioc/html/LVSmiRNA.html
Software for normalization of Agilent miRNA arrays.
Proper citation: LVSmiRNA (RRID:SCR_012752) Copy
http://bioconductor.org/packages/release/bioc/html/MMDiff.html
Software package that detects statistically significant difference between read enrichment profiles in different ChIP-Seq samples.
Proper citation: MMDiff (RRID:SCR_012692) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/crlmm.html
Genotype Calling and Copy Number Analysis tool for Affymetrix SNP 5.0 and 6.0 and Illumina arrays.
Proper citation: CRLMM (RRID:SCR_012580) Copy
http://www.bioconductor.org/packages/release/bioc/html/baySeq.html
Software package that identifies differential expression in high-throughput ''count'' data, such as that derived from next-generation sequencing machines.
Proper citation: baySeq (RRID:SCR_012795) Copy
http://bioconductor.org/packages/devel/bioc/html/RPA.html
A fully scalable online pre-processing algorithm for short oligonucleotide microarray atlases.
Proper citation: RPA (RRID:SCR_012768) Copy
http://bioconductor.org/packages/release/bioc/html/lumi.html
Software that provides an integrated solution for the Illumina microarray data analysis.
Proper citation: lumi (RRID:SCR_012781) Copy
http://www.bioconductor.org/packages/release/bioc/html/rqubic.html
This software package implements the QUBIC algorithm for the qualitative biclustering with gene expression data.
Proper citation: rqubic (RRID:SCR_012869) Copy
http://bioconductor.org/packages/release/bioc/html/DiffBind.html
Compute differentially bound sites from multiple ChIP-seq experiments using affinity (quantitative) data. Also enables occupancy (overlap) analysis and plotting functions.
Proper citation: DiffBind (RRID:SCR_012918) Copy
http://www.bioconductor.org/packages/release/bioc/html/iBBiG.html
A bi-clustering algorithm which is optimizes for binary data analysis.
Proper citation: iBBiG (RRID:SCR_012882) Copy
http://www.bioconductor.org/packages/release/bioc/html/eisa.html
A biclustering method; it finds correlated blocks (transcription modules) in gene expression (or other tabular) data.
Proper citation: eisa (RRID:SCR_012883) Copy
http://www.bioconductor.org/packages/release/bioc/html/methylumi.html
Software package that provides classes for holding and manipulating Illumina methylation data.
Proper citation: Methylumi (RRID:SCR_012831) Copy
http://www.bioconductor.org/packages/release/bioc/html/iChip.html
Software package that uses hidden Ising models to identify enriched genomic regions in ChIP-chip data.
Proper citation: iChip (RRID:SCR_012958) Copy
http://www.bioconductor.org/packages/release/bioc/html/NarrowPeaks.html
Software package for post-processing of peaks and differential binding in ChIP-seq based on standard wiggle visualization files. The double aim of the package is to apply a functional version of principal component analysis (FPCA) to: (1) Process data in wiggle track format (WIG) commonly produced by ChIP-seq peak finders by applying FPCA over a set of selected candidate enriched regions. This is done in order to shorten the genomic locations accounting for a given proportion of variation among the enrichment-score profiles. The function ''narrowpeaks'' allows the user to discriminate between binding regions in close proximity to each other and to narrow down the length of the putative transcription factor binding sites while preserving the information present in the variability of the dataset and capturing major sources of variation. (2) Analyze differential variation when multiple ChIP-seq samples need to compared. The function ''narrowpeaksDiff'' quantifies differences between the tag-enrichment, and uses non-parametric tests on the FPC scores for testing differences between conditions.
Proper citation: NarrowPeaks (RRID:SCR_012924) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/ChAMP.html
Software package that includes quality control metrics, a selection of normalization methods and novel methods to identify differentially methylated regions and to highlight copy number aberrations.
Proper citation: ChAMP (RRID:SCR_012891) Copy
http://bioconductor.org/packages/release/bioc/html/CSAR.html
Statistical tools for the analysis of ChIP-seq data.
Proper citation: CSAR (RRID:SCR_012930) 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 nidm-terms Resources search. From here you can search through a compilation of resources used by nidm-terms and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that nidm-terms 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 nidm-terms then you can log in from here to get additional features in nidm-terms 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 nidm-terms 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 nidm-terms 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.