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://sourceforge.net/projects/dmeas/
A user-friendly DNA methylation analysis tool for DNA methylation pattern extraction, DNA methylation level estimation, DNA methylation entropy analysis and multi-sample comparison. It was developed in order to assess the DNA methylation variations for a given genomic locus or genome-wide methylation data.
Proper citation: DMEAS (RRID:SCR_006679) Copy
http://sourceforge.net/projects/hiahia/
A sequence alignment tool to align both short and long reads to a reference genome. HIA has two indexes, a hash table index and a suffix array index. The hash table is capable of the direct lookup of a q-gram and the suffix array is very fast in the lookup of a variable length q-gram. Our experiments show that the hybrid of hash table and suffix array is useful at the perspective of speed to map NGS sequencing reads to a reference genome sequence.
Proper citation: HIA (RRID:SCR_006865) Copy
http://sourceforge.net/projects/fitgcp/
Software providing a framework for fitting mixtures of probability distributions to genome coverage profiles.
Proper citation: fitGCP (RRID:SCR_006741) Copy
http://sourceforge.net/projects/gasic/
A method to correct read alignment results for the ambiguities imposed by similarities of genomes.
Proper citation: GASiC (RRID:SCR_006765) Copy
http://sourceforge.net/projects/atlas-link/
Software that implements a greedy algorithm and uses graph theory to link and orient assembled existing contigs quickly and accurately using mate pair information.
Proper citation: Next-gen Sequencing Scaffolding Tool (RRID:SCR_006762) Copy
http://sourceforge.net/projects/quasr/
A lightweight software pipeline written to process and analyse next-generation sequencing (NGS) data from Illumina, 454, and Ion Torrent platforms. Although originally written for viral data, it is generic enough to work on any NGS dataset. Functions include: duplicate removal, demultiplexing, primer-removal, quality-assurance (QA) graphing, quality control (QC), consensus-generation, minority-variant determination, minority-variant graphing.
Proper citation: QUASR (RRID:SCR_006820) Copy
http://sourceforge.net/projects/simhtsd/
Software that given a reference sequence, will create a large set of short nucleotide reads, simulating the output from today''s high-throughput DNA sequencers, such as the Illumina Genome Analyzer II.
Proper citation: simhtsd (RRID:SCR_006822) Copy
http://bionerds.sourceforge.net/
A named entity recognizer for the recovery of bioinformatics databases and software from primary literature. The entity recognizer achieved an F-measure of between 63% and 91% on different datasets (63%78% at the document level). Results from full-text literature analysis for both Genome Biology and BMC Bioinformatics journals are available as well as a full list of references and links for the various major resources mentioned. Data generated data can be used for exploration of bioinformatics database and software usage. This tool makes heavy use of GATE (version 6.1). It can be run in sandbox mode, which means a installation of GATE is not a prerequisite, but you will instead need to point the config to a unzipped gate_plugins directory instead (located in the bin/BMC_Files directory).
Proper citation: bioNerDS (RRID:SCR_006784) Copy
http://sourceforge.net/projects/virmid/
A Java based variant caller designed for disease-control matched samples. Virmid is also specialized for identifying potential within individual contamination where the disease sample cannot be purified enough. While the SNP calling rate is severely compromised with this heterogeneity, Virmid can uncover SNPs with low allele frequency by considering the level of contamination (alpha). The important features of Virmid are: * Estimation of accurate proporation of control sample in a (mixed) disease sample * Improved SNP and somatic mutation calling with regard to the estimated proportion
Proper citation: Virmid (RRID:SCR_006780) Copy
http://sourceforge.net/projects/bigpre/
A quality assessment software package for next-genomics sequencing data.
Proper citation: BIGpre (RRID:SCR_006781) Copy
http://sourceforge.net/projects/taxoassignement/
Software tool for the taxonomic assignment of Next Generation Sequencing reads using multiple reference taxonomy.
Proper citation: TaxoAssignement (RRID:SCR_006814) Copy
http://crossmap.sourceforge.net/
A software program for convenient conversion of genome coordinates (or annotation files) between different assemblies. It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF. It is designed to liftover genome coordinates between assemblies. It?s not a program for aligning sequences to reference genome. CrossMap is not recommend for converting genome coordinates between species.
Proper citation: CrossMap (RRID:SCR_001173) Copy
http://sourceforge.net/apps/mediawiki/breakway/index.php
A suite of software programs that take aligned genomic data and report structural variation breakpoints. Features include: * Takes in BAM formatted input, the current standard for genomic alignments. * Compatible with standard output from major alignment algorithms such as BFAST, BWA, MAQ, et cetera. * Capable of analyzing data from any major platform--Solexa, SOLiD, 454, et cetera. * Empirically identifies structural variation breakpoints. * Highly specific analysis generates very few false positives. * Includes a suite of downstream tools for annotating identified breakpoints and reducing false positives.
Proper citation: Breakway (RRID:SCR_001180) Copy
https://gitlab.sib.swiss/EPD/chipseq
Set of software modules for performing common ChIP-seq data analysis tasks across the whole genome, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. The tools are designed to be simple, fast and highly modular. Each program carries out a well-defined data processing procedure that can potentially fit into a pipeline framework. ChIP-Seq is also freely available on a Web interface.
Proper citation: ChIP-seq (RRID:SCR_001237) Copy
http://sourceforge.net/projects/ngsrich/
Software for target enrichment performance for next-generation sequencing.
Proper citation: NGSrich (RRID:SCR_001333) Copy
http://dti-tk.sourceforge.net/pmwiki/pmwiki.php
A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation
Proper citation: Diffusion Tensor Imaging ToolKit (RRID:SCR_001642) Copy
http://sourceforge.net/projects/pennseq/
Software for isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution. Instead of making parametric assumptions, they give adequate weight to the underlying data by the use of a non-parametric approach. The rationale is that regardless what factors lead to non-uniformity, whether it is due to hexamer priming bias, local sequence bias, positional bias, RNA degradation, mapping bias or other unknown reasons, the probability that a fragment is sampled from a particular region will be reflected in the aligned data. This empirical approach thus maximally reflects the true underlying non-uniform read distribution.
Proper citation: PennSeq (RRID:SCR_001763) Copy
http://sourceforge.net/projects/pasha/
A parallel short read assembler for large genomes using de Bruijn graphs.
Proper citation: PASHA (RRID:SCR_004455) Copy
http://mged.sourceforge.net/ontologies/MGEDontology.php
An ontology including concepts, definitions, terms, and resources for a standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1. These terms will enable structure queries of elements of the experiments. Furthermore, the terms will also enable unambiguous descriptions of how the experiment was performed.
Proper citation: MGED Ontology (RRID:SCR_004484) Copy
http://snoopcgh.sourceforge.net/
A java desktop application for visualising and exploring comparative genomic hybridization (CGH) data.
Proper citation: SnoopCGH (RRID:SCR_004420) 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 ASWG Resources search. From here you can search through a compilation of resources used by ASWG and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that ASWG 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 ASWG then you can log in from here to get additional features in ASWG 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 ASWG 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 ASWG 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.