Search Results for "bio sample"
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Showing 57 open source projects for "bio sample"
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dataMAPPs
R based pipeline for MHC-associated peptide proteomics (MAPPs) data
dataMAPPs allows routine and efficient processing of data from immunogenicity studies applying the MAPPs peptidomics technology to detect potential MHCI- or MHC-II epitopes as presented by dendritic cells (DC). It features quality control of the raw data, across-sample/across-donor normalization and visualization of results in a heatmap style (heatMAPPs). dataMAPPs' core is a generic R library that can be tailored to specific projects via dedicated control scripts which also allow... -
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misc genomics tools
Various scripts used in sequencing, annotation and RNAseq analysis
This is a collection of various programs developed in the course of a genomics project, involving the Pseudomonas strain NCIMB10586 These include * identifying and correcting errors in an (eg) pacbio genome sequence using illumina reads * prokaryotic sequence/genome annotation * RNAseq analysis - normalisation and collation of multiple samples as a group * RNAseq visualisation All scripts are provided on a 'best efforts' basis, however due to various system changes I do not... -
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ANDTool
Analysis Nuclei DAB (AND) Tool
... the sample in three regions according to the FastRed channel: a dark-red ROI, a light-pink ROI and a white ROI. ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. USER MANUAL: see the specific PDF available in the Files section. REQUIREMENTS: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. MAIN CONTACT: Filippo Piccinini (E-mail: filippo.piccinini85@gmail.com) -
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DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types... -
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bspipe
An End-to-End Analysis Pipeline for BS-seq
BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files... -
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MAT-MECAS
Cell impedance analysis software.
MAT-MECAS is used for calculation of impedance parameters of a cell from recorded current responses elicited by bipolar voltage stimuli in a whole-cell patch-clamp experiment. The calculations are based on a FFT deconvolution procedure and on approximation of the reconstructed currents with a theoretical function. The impulse response of the signal path is necessary for the calculations. Read manual first! For testing MAT-MECAS we provide a sample data along with sample stimulation... -
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datasw
datasw, a tool for rapid processing of HPLC-SAXS data.
Small-angle X-ray scattering (SAXS) in solution is a common low-resolution method which can efficiently complement high-resolution information obtained by crystallography or NMR. Sample monodispersity is key to reliable SAXS data interpretation and model building. Beamline setups with inline high-performance liquid chromatography (HPLC) are particularly useful for accurate profiling of heterogeneous samples. The program DATASW performs averaging of individual data frames from HPLC-SAXS... -
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MOIRAI
Simple Scientific Workflow System for CAGE Analysis
Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5’ ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project. MOIRAI is a compact yet flexible workflow system designed to carry out the main steps in data processing and analysis of CAGE data... -
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SUPERmerge
ChIP-seq coverage island analysis algorithm for broad histone marks
... is especially useful for investigating low sample size ChIP-seq experiments in which epigenetic histone modifications (e.g., H3K9me1, H3K27me3) result in inherently broad peaks with a diffuse range of signal enrichment spanning multiple consecutive genomic loci and annotated features. -
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CorNetMap
A tool for Gene Expression Correlation Network
.../Documentation_corNetMap.pdf Sample data for testing: https://sourceforge.net/projects/cornetmap/files/Test%20Data/ Citation: Cite CornetMap as " Khaund, A. Bose, B. CorNetMap. https://sourceforge.net/projects/cornetmap " Credit: Abhigyan Khaund, Biplab Bose, IIT Guwahati -
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PB-sQF_BacterialTyping
Bacterial Typing from either assembled or raw short reads file
Probability Binning - signature Quadratic Form, PB-sQF, types unknown sequence to one of the 628 bacterial library genomes which gives the smallest test statistics thus most similar library strain. The input file is the k-mer counts of the unknown assembled genome sequence or raw short reads file in decimal format generated by KAnalyze developed by P. Audano et al. (https://sourceforge.net/projects/kanalyze/). The download included the library index, the library name and sample unknowns. -
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We... -
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runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax... -
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Sample Tracking
Rediscover the Simplicity http://www.atgclabs.com/
... a organized and time effective means of keeping inventory and tracking samples on a large scale, while integrating sample storage and data storage on one easy-to-use format, minimizing confusion and increasing overall efficiency. With FWA, storage of samples is simple and systematic by entering them into the program according to their physical arrangements we create virtual containers matching these configurations and dimensions. -
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REDO
REDO - RNA Editing Detection in Organelle
REDO is a comprehensive application tool for identifying RNA editing events in organelles based on variant call results (VCF files). It is a suite of Perl scripts and can work easily and directly in any operating system installed Perl and R Environment. The stringent rule depended filters and statistical filters are used in REDO for reducing false positive rate. It can provide detailed annotations, statistics and figures for RNA editing sites. REDO also can detect RNA editing events in... -
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MetaOpen
Metabolomics Bioinformatics Tools
...-mass spectrometry (LC-MS), and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS). Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility. -
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NGS-TOOLBOX
Handy tools to process/analyze next generation sequencing (NGS) data
... purposes you can cite the following methods paper: Rosenkranz D, Han CT, Roovers EF, Zischler H, Ketting RF. Piwi proteins and piRNAs in mammalian oocytes and early embryos: From sample to sequence. Genomics Data 2015 5:309-313. -
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Lab Management
Rediscover the Simplicity http://www.atgclabs.com/
Located in biotech-rich state of Maryland, ATGC Labs serves the need for ever-increasing demand of quality information technology solutions, consulting, software development and programming of commercial bioinformatics systems. Our innovative approach to leveraging technology to advance your scientific objectives enables a more streamlined workflow. Through the combination of technology and scientific knowledge, ATGC Labs provides solutions that are catalysts to integration efforts resulting... -
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Lab Storage
Rediscover the Simplicity http://www.atgclabs.com/
... a organized and time effective means of keeping inventory and tracking samples on a large scale, while integrating sample storage and data storage on one easy-to-use format, minimizing confusion and increasing overall efficiency. With FWA, storage of samples is simple and systematic by entering them into the program according to their physical arrangements we create virtual containers matching these configurations and dimensions. -
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic,... -
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PanCoreGen1
A comprehensive tool to profile, detect & annotate microbial genomes.
PanCoreGen is a Windows-based standalone tool offering 4-in-1 functionalities – (i) pan-/core-genomic profiles across the entire sample set; (ii) similar profiles within user-defined strain-groups; (iii) annotations of user-provided draft genomes; and (iv) detection of unidentified genes in annotated genomes. -
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VarScan
Variant detection in next-generation sequencing data
Variant detection in massively parallel sequencing. For one sample, calls SNPs, indels, and consensus genotypes. For tumor-normal pairs, further classifies each variant as Germline, Somatic, or LOH, and also detects somatic copy number changes. THE LATEST VERSION IS AVAILABLE ON GITHUB -
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MDA
Molecular Dynamics Analyzer (MDA)
... by the astigmatism. It does not require additional experimental effort for the user and imaging can directly be started once interesting regions in the sample have been identified. MDA is written in MATLAB and comes with a graphical user interface. The particle fitting routine is provided by an external library written in C. The results can be exported into the Matlab Workspace or the trackID, frameID and xyz coordinates are saved into files. -
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OpenCryobank is an attempt to develop a simple, free and open database system for frozen samples inventory in biological laboratories. It is mainly aimed at semen and embryo cryobanks, but it can be used for any kind of biological sample. Visit us: http://reprobio.unileon.es/services/analisis-cromatina-espermatica/
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PRIMUS
Pedigree Reconstruction and Identification of a Maximum Unrelated Set
NEW: Download new version with Pedigree Reconstruction at primus.gs.washington.edu This versions is outdated and incomplete. Please visit the new website for the complete version of PRIMUS. We present a method adapted from graph theory that always identifies the maximum set of unrelated individuals in any dataset, and allows weighting parameters to be utilized in unrelated sample selection. PRIMUS reads in user-generated IBD estimates and outputs the maximum possible set of unrelated...