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://samstat.sourceforge.net/
C software program for displaying sequence statistics for next generation sequencing. Works with large fasta, fastq and SAM/BAM files.
Proper citation: SAMStat (RRID:SCR_005432) Copy
http://dna.leeds.ac.uk/methylviewer/
A simple integrated software tool for handling MAP (methyltransferase accessibility protocol) and MAP-IT (MAP individual templates) footprinting projects. It can process sequence data (*.txt, *.ab1 and *.scf) derived from the use of up to four different DNA methyltransferases.
Proper citation: MethylViewer (RRID:SCR_005448) Copy
http://epigenome.usc.edu/publicationdata/bissnp2011/
A software package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping and accurate DNA methylation calling in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq, RRBS and any other bisulfite treated sequencing) with Illumina directional library protocol. It contains the following key features: * Call and summarize methylation of any cytosine context provided (CpG, CHH, CHG, GCH et.al.); * Work for single end and paired-end data; * Accurtae variant detection. Enable base quality recalibration and indel calling in bisulfite sequencing; * Based on Java map-reduce framework, allow multi-thread computing. Cross-platform; * Allow multiple output format, detailed VCF files, CpG haplotype reads file for mono-allelic methylation analysis, simplified bedGraph, wig and bed format for visualization in UCSC genome broswer and IGV browser. BisSNP uses bayesian inference with locus specific methylation probabilities and bisulfite conversion rate of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Bis-SNP (RRID:SCR_005439) Copy
http://code.google.com/p/distmap/
A user-friendly software pipeline designed to map short reads in a MapReduce framework on a local Hadoop cluster. It is designed to be easily implemented by researchers who do not have expert knowledge of bioinformatics. As it does not have any dependencies, it provides full flexibility and control to the user. The user can use any version of a compatible mapper and any reference genome assembly. There is no need to maintain the mapper, reference or DistMap source code on each of the slaves (nodes) in the Hadoop cluster, making maintenance extremely easy.
Proper citation: DistMap (RRID:SCR_005473) Copy
http://www.well.ox.ac.uk/project-stampy
A software package for the mapping of short reads from illumina sequencing machines onto a reference genome. It''s recommended for most workflows, including those for genomic resequencing, RNA-Seq and Chip-seq. Stampy excels in the mapping of reads containing that contain sequence variation relative to the reference, in particular for those containing insertions or deletions. It can map reads from a highly divergent species to a reference genome for instance. Stampy achieves high sensitivity and speed by using a fast hashing algorithm and a detailed statistical model. Stampy has the following features: * Maps single, paired-end and mate pair Illumina reads to a reference genome * Fast: about 20 Gbase per hour in hybrid mode (using BWA) * Low memory footprint: 2.7 Gb shared memory for a 3Gbase genome * High sensitivity for indels and divergent reads, up to 10-15% * Low mapping bias for reads with SNPs * Well calibrated mapping quality scores * Input: Fastq and Fasta; gzipped or plain * Output: SAM, Maq''s map file * Optionally calculates per-base alignment posteriors * Optionally processes part of the input * Handles reads of up to 4500 bases
Proper citation: Stampy (RRID:SCR_005504) Copy
http://ngsview.sourceforge.net/
A generally applicable, flexible and extensible next-generation sequence alignment editor. The software allows for visualization and manipulation of millions of sequences simultaneously on a desktop computer, through a graphical interface.
Proper citation: NGSView (RRID:SCR_005637) Copy
http://www.bioinformatics.babraham.ac.uk/projects/hicup/
A tool for mapping and performing quality control on Hi-C data.
Proper citation: HiCUP (RRID:SCR_005569) Copy
http://zhanglab.c2b2.columbia.edu/index.php/OLego
A program specifically designed for de novo spliced mapping of mRNA-seq reads. It adopts a multiple-seed-and-extend scheme, and does not rely on a separate external mapper.
Proper citation: OLego (RRID:SCR_005811) Copy
https://code.google.com/p/pepr-chip-seq/
A ChIP-Seq peak calling or differential binding analysis tool that is primarily designed for data with biological replicates. It uses a negative binomial distribution to model the read counts among the samples in the same group, and look for consistent differences between ChIP and control group or two ChIP groups run under different conditions.
Proper citation: PePr (RRID:SCR_005759) Copy
http://www.bioinf.uni-freiburg.de/Software/GraphProt/
Software for modeling binding preferences of RNA-binding proteins from high-throughput experiments such as CLIP-seq and RNAcompete.
Proper citation: GraphProt (RRID:SCR_005842) Copy
http://www-math.u-strasbg.fr/genpred/spip.php?article3
R software package to study, predict and simulate the diffusion of a signal through a temporal gene network. It predicts changes in gene expressions after a biological perturbation in the network and provides graphical outputs that allow monitoring the spread of a signal through the network., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Cascade (RRID:SCR_005861) Copy
http://www.psb.ugent.be/cbd/papers/BiNGO/Home.html
The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional themes of the tested gene set on the GO hierarchy, and takes advantage of Cytoscape''''s versatile visualization environment to produce an intuitive and customizable visual representation of the results. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: BiNGO: A Biological Networks Gene Ontology tool (RRID:SCR_005736) Copy
http://www.ebi.ac.uk/Tools/msa/kalign/
A fast and accurate multiple sequence alignment algorithm.
Proper citation: Kalign (RRID:SCR_011810) Copy
http://wishart.biology.ualberta.ca/cgview/
A Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CGView (RRID:SCR_011779) Copy
http://bioen-compbio.bioen.illinois.edu/PSAR-Align/
Software for improving multiple sequence alignment using probabilistic sampling.
Proper citation: PSAR-Align (RRID:SCR_011814) Copy
http://gaggle.systemsbiology.net/docs/geese/genomebrowser/
An open source software tool for visualizing high-density data plotted against coordinates on the genome.
Proper citation: Gaggle (RRID:SCR_011780) Copy
https://bioinf.eva.mpg.de/patman/
Software that searches for short patterns in large DNA databases, allowing for approximate matches., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PatMaN (RRID:SCR_011821) Copy
http://utgenome.org/index.html
An open-source software for developing personalized genome browsers that work in web browsers.
Proper citation: UTGB Toolkit (RRID:SCR_011797) Copy
http://graphics.med.yale.edu/trim/
A fast and lightweight software to trim adapters and low quality regions in reads from ultra high-throughput next-generation sequencing machines.
Proper citation: Btrim (RRID:SCR_011836) Copy
http://code.google.com/p/cutadapt/
Software tool that removes adapter sequences from DNA sequencing reads., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: cutadapt (RRID:SCR_011841) 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.