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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://code.google.com/p/snavi/
Desktop application for analysis and visualization of large-scale cell signaling networks.
Proper citation: SNAVI (RRID:SCR_000091) Copy
https://code.google.com/p/ibm-cbc-genomic-tools/
A flexible computational platform, comprising both a command-line set of tools and a C++ API, for the analysis and manipulation of high-throughput sequencing data such as DNA-seq, RNA-seq, ChIP-seq and MethylC-seq. It implements a variety of mathematical operations between sets of genomic regions thereby enabling the prototyping of computational pipelines that can address tasks from preprocessing and quality control to meta-analyses. The user can create average read profiles across transcriptional start sites or enhancer sites, quickly prototype customized peak discovery methods for ChIP-seq experiments, perform genome-wide statistical tests such as enrichment analyses, design controls via appropriate randomization schemes, among other applications. In addition to enabling rapid prototyping, the platform is designed to analyze large-datasets in a single-pass fashion in order to minimize memory and intermediate file requirements. The platform supports the widely used BED format to facilitate visualization as well as integration with existing platforms and pipelines such as Galaxy or BioConductor.
Proper citation: GenomicTools (RRID:SCR_001205) Copy
https://code.google.com/p/simrare/
A stand-alone executable software with user-friendly graphical interface implemented in Python/C++ for rare variant association studies. It is designed as a unified simulation framework to provide an unbiased and easy manner to evaluate association methods, including novel methods, under a broad range of choice of biological contexts. It consists of three modules, variant data simulator, genotype/phenotype generator and association method evaluator. SimRare generates variant data for gene regions using forward-time simulation which incorporates realistic population demographic and evolutionary scenarios. For phenotype data it is capable of generating both case-control and quantitative traits. The phenotypic effects of variants can be detrimental, protective or non-causal. SimRare has a graphical user interface which allows for easy entry of genetic and phenotypic parameters. Simulated data can be written into external files in a standard format. For novel association method implemented in R it can be imported into SimRare, which has been equipped built in functions to evaluate performance of new method and visually compare it with currently available ones in an unbiased manner.
Proper citation: SimRare (RRID:SCR_005226) Copy
https://code.google.com/p/phantompeakqualtools/
Software package that computes quick but highly informative enrichment and quality measures for ChIP-seq/DNase-seq/FAIRE-seq/MNase-seq data. It can also be used to obtain robust estimates of the predominant fragment length or characteristic tag shift values in these assays.
Proper citation: phantompeakqualtools (RRID:SCR_005331) Copy
https://code.google.com/p/edmr/
Comprehensive differentially methylated regions (DMR) analysis based on bimodal normal distribution model and weighted cost function for regional methylation analysis optimization.
Proper citation: eDMR (RRID:SCR_006960) Copy
https://code.google.com/p/ampliconnoise/
A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal.
Proper citation: AmpliconNoise (RRID:SCR_007814) Copy
https://code.google.com/p/prorata/
A quantitative proteomics software program for accurate protein abundance ratio estimation with confidence interval evaluation.
Proper citation: ProRata (RRID:SCR_002988) 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
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
https://code.google.com/p/compomics-utilities/
A software library containing code shared by many research projects, amongst others containing panels for visualizing spectra and chromatograms and objects for representing peptides and proteins etc. This library can be of use to other research groups doing computational proteomics.
Proper citation: compomics-utilities (RRID:SCR_012073) Copy
https://code.google.com/p/pride-converter-2/
Suite of software tools that allows users to convert search result files into PRIDE XML, generate mzTab skeleton files that can be used as a basis to submit quantitative and gel-based MS data, and post-process PRIDE XML files by filtering out contaminants and empty spectra.
Proper citation: PRIDE Converter 2 (RRID:SCR_012051) Copy
https://code.google.com/p/allim/
A user-friendly software tool to estimate allele-specific gene expression.
Proper citation: Allim (RRID:SCR_012114) Copy
https://code.google.com/p/localali/
A fast and scalable local network alignment software tool for the identification of functionally conserved modules in multiple networks. LocalAli outperforms all existing algorithms in terms of coverage, consistency and scalability, meanwhile retains a high precision in the identification of functionally coherent subnetworks.
Proper citation: LocalAli (RRID:SCR_012147) Copy
http://code.google.com/p/popoolation/
A collection of tools to facilitate population genetic studies of next generation sequencing data from pooled individuals. It builds upon open source tools (bwa, samtools) and uses standard file formats (gtf, sam, pileup) to ensure a wide compatibility. PoPoolation allows to calculate Tajima's Pi, Watterson's Theta and Tajima's D for reference sequences using a sliding window approach. Alternatively these population genetic estimators may be calculated for a set of genes (provided as gtf). One of the main challenges in population genomics is to identify regions of intererest on a genome wide scale. PoPoolation will greatly aid this task by allowing a fast and user friendly analysis of NGS data from DNA pools.
Proper citation: PoPoolation (RRID:SCR_003495) Copy
https://code.google.com/p/ms-lims/
Software that provides a lightweight, portable yet production-grade solution for managing mass spectrometry based proteomics data.
Proper citation: ms lims (RRID:SCR_002974) Copy
http://code.google.com/p/seqtrace/
A software application for viewing and processing DNA sequencing chromatograms (trace files) that makes it easy to quickly generate high-quality finished sequences from a large number of trace files. SeqTrace can automatically identify, align, and compute consensus sequences from matching forward and reverse traces, filter low-quality base calls, and perform end trimming of finished sequences. The finished DNA sequences can then be exported to common sequence file formats, such as FASTA. SeqTrace also includes a full-featured trace file viewer and editor. You can view your sequencing chromatograms at a variety of scales and zoom levels, simultaneously view matching forward and reverse traces, edit the called bases, and export individual DNA sequences as well as forward/reverse alignments. SeqTrace supports popular trace file formats, including ABIF, SCF, and ZTR.
Proper citation: SeqTrace (RRID:SCR_005580) Copy
https://code.google.com/p/guardd/
MATLAB software designed to organize, automate, and enhance the analytical procedures which operate on CPMG RD NMR data.
Proper citation: GUARDD (RRID:SCR_000040) Copy
https://code.google.com/p/knime4bio/
A set of custom nodes for the KNIME (The Konstanz Information Miner) graphical workbench, for analysing next-generation sequencing (NGS) data without the requirement of programming skills.
Proper citation: Knime4Bio (RRID:SCR_005376) Copy
https://code.google.com/p/phenoman/
An interactive software program that integrates phenotypic data exploration, selection, management and quality control using a unified platform for association studies of rare and common variants.
Proper citation: PhenoMan (RRID:SCR_005249) Copy
http://code.google.com/p/mosaik-aligner/
A reference-guided assembler comprising of two main modular programs: MosaikBuild and MosaikAligner. MosaikBuild converts various sequence formats into Mosaik?s native read format. MosaikAligner pairwise aligns each read to a specified series of reference sequences and produces BAMs as outputs. At this time, the workflow consists of supplying sequences in FASTA, FASTQ, Illumina Bustard & Gerald, or SRF file formats and producing results in the BAM format. Unlike many current read aligners, MOSAIK produces gapped alignments using the Smith-Waterman algorithm. MOSAIK is written in highly portable C++ and currently targetted for the following platforms: Microsoft Windows, Apple Mac OS X, FreeBSD, and Linux operating systems. Other platforms can easily be supported upon request. MOSAIK is multithreaded. If you have a machine with 8 processors, you can use all 8 processors to align reads faster while using the same memory footprint as when using one processor. MOSAIK supports multiple sequencing technologies. In addition to legacy technologies such as Sanger capillary sequencing, our program supports next generation technologies such as Roche 454, Illumina, AB SOLiD, and experimental support for the Helicos Heliscope.
Proper citation: MOSAIK (RRID:SCR_005486) Copy
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