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://cran.r-project.org/web/packages/MultiPhen/
Software package that performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).
Proper citation: MultiPhen (RRID:SCR_003498) Copy
http://www.biostat.wisc.edu/~kendzior/EBSEQ/
Software R package for RNA-Seq Differential Expression Analysis.
Proper citation: EBSeq (RRID:SCR_003526) Copy
https://code.google.com/p/mztab/
A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.
Proper citation: jmzTab (RRID:SCR_003481) Copy
http://www.compgen.org/tools/metagen
Software program providing a method for meta-analysis of case-control genetic association studies using random-effects logistic regression.
Proper citation: metagen (RRID:SCR_003443) Copy
http://genome.sph.umich.edu/wiki/RAREMETAL
A software program that facilitates the meta-analysis of rare variants from genotype arrays or sequencing.
Proper citation: RAREMETAL (RRID:SCR_003573) Copy
http://bioconductor.org/packages/release/bioc/html/sapFinder.html
An R software package, for detection of the variant peptides based on tandem mass spectrometry (MS/MS)-based proteomics data. It automates (1) variation-associated database construction, (2) database searching, (3) post-processing, (4) HTML-based report generation in shotgun proteomics.
Proper citation: sapFinder (RRID:SCR_002685) Copy
https://github.com/grenaud/leeHom
Software program for the Bayesian reconstruction of ancient DNA fragments. The algorithm removes the adaptors and reconstructs the original DNA sequences using a Bayesian maximum a posteriori probability approach.
Proper citation: leeHom (RRID:SCR_002710) Copy
http://www.bioconductor.org/packages/release/bioc/html/pathview.html
A tool set for pathway-based data integration and visualization. It maps and renders a wide variety of biological data on relevant pathway graphs. All users need is to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps user data to the pathway, and render pathway graph with the mapped data. In addition, Pathview also seamlessly integrates with pathway and gene set (enrichment) analysis tools for large-scale and fully automated analysis.
Proper citation: Pathview (RRID:SCR_002732) Copy
http://www.bioconductor.org/packages/release/bioc/html/rBiopaxParser.html
A software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. At the moment BioPAX level 2 and level 3 are supported.
Proper citation: rBiopaxParser (RRID:SCR_002744) Copy
https://github.com/itojal/hot_scan
A free software to detect genomic regions unusually rich in translocation breakpoints. More generally, it may be used to detect a region that is unusually rich in a given character of a binary sequence.
Proper citation: hot scan (RRID:SCR_002840) Copy
http://bioconductor.org/packages/release/bioc/html/tweeDEseq.html
Software for differential expression analysis of RNA-seq using the Poisson-Tweedie family of distributions.
Proper citation: tweeDEseq (RRID:SCR_003038) Copy
http://bioconductor.org/packages/release/bioc/html/BRAIN.html
Software package for calculating aggregated isotopic distribution and exact center-masses for chemical substances (in this version composed of C, H, N, O and S).
Proper citation: BRAIN (RRID:SCR_003018) Copy
http://sourceforge.net/projects/salt1/
Software that can accurately and sensitivity classify short reads of next-generation sequencing (NGS) into protein domain families. It is based on profile HMM and a supervised graph contribution algorithm. Compared to existing tools, it has high sensitivity and specificity in classifying short reads into their native domain families.
Proper citation: SALT (RRID:SCR_003187) Copy
http://compbio.cs.sfu.ca/software-novelseq
Software pipeline to detect novel sequence insertions using high throughput paired-end whole genome sequencing data.
Proper citation: NovelSeq (RRID:SCR_003136) Copy
http://mrcanavar.sourceforge.net/
Copy number caller that analyzes the whole-genome next-generation sequence mapping read depth to discover large segmental duplications and deletions. It also has the capability of predicting absolute copy numbers of genomic intervals.
Proper citation: mrCaNaVaR (RRID:SCR_003135) Copy
https://github.com/brunonevado/Pipeliner
Software for evaluating the performance of bioinformatics pipelines for Next Generation re-Sequencing.
Proper citation: Pipeliner (RRID:SCR_003171) Copy
http://bioinformatics.rutgers.edu/Software/SLiQ/
Software for simple linear inequalities based Mate-Pair reads filtering and scaffolding. A set of simple linear inequalities (SLIQ) derived from the geometry of contigs on the line that can be used to predict the relative positions and orientations of contigs from individual mate pair reads and thus produce a contig digraph. The SLIQ inequalities can also filter out unreliable mate pairs and can be used as a pre-processing step for any scaffolding algorithm. This tool filters mate pairs and then produces a Directed Contig Graph (contig diGraph). Also provided is a Naive scaffolder that can then produce scaffolds out of the contig diGraph.
Proper citation: SLIQ (RRID:SCR_005003) Copy
http://www.physics.rutgers.edu/~anirvans/SOPRA/
Software tool to exploit the mate pair/paired-end information for assembly of short reads from high throughput sequencing platforms, e.g. Illumina and SOLiD.
Proper citation: SOPRA (RRID:SCR_005035) Copy
http://www.baseclear.com/landingpages/basetools-a-wide-range-of-bioinformatics-solutions/sspacev12/
A stand-alone software program for scaffolding pre-assembled contigs using paired-read data. Main features are: a short runtime, multiple library input of paired-end and/or mate pair datasets and possible contig extension with unmapped sequence reads.
Proper citation: SSPACE (RRID:SCR_005056) Copy
http://cran.r-project.org/web/packages/MBCluster.Seq/index.html
Software to cluster genes based on Poisson or Negative-Binomial model for RNA-Seq or other digital gene expression (DGE) data.
Proper citation: MBCluster.Seq (RRID:SCR_005079) 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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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 NIF 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.