Search Results for "profiles"
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Showing 13 open source projects for "profiles"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis (EFA) or the regularized alternating least squares (REGALS) methods. ... -
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MToolBox
A bioinformatics pipeline to analyze mtDNA from NGS data
...MToolBox includes an updated computational strategy to assemble mitochondrial genomes from Whole Exome and/or Genome Sequencing (PMID: 22669646) and an improved fragment-classify tool (PMID:22139932) for haplogroup assignment, functional and prioritization analysis of mitochondrial variants. MToolBox provides pathogenicity scores, profiles of genome variability and disease-associations for mitochondrial variants. MToolBox provides also a Variant Call Format file (version 4.0) featuring, for the first time, allele-specific heteroplasmy. Please, check out the most recent updates of the source code with the Github repository of MToolBox: https://github.com/mitoNGS/MToolBox or visit the Web version of MToolBox @ MSeqDR: https://mseqdr.org/mtoolbox.php -
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GCB_package
Stand-alone version of the Genome Complexity Browser
This application allows observing genome rearrangements in prokaryotic genomes. It provides rearrangements frequencies profiles and genomes graph representation. -
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OncoIMPACT
Cancer driver prediction via integrative omics
OncoIMPACT is a model-driven approach to integrate omics profiles (genomics, transcriptomics etc.) and provides patient-specific cancer driver gene predictions. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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riboFR-seq
A novel approach to linking 16S rRNA amplicon profiles to metagenomes
16S rRNA amplicon analysis and shotgun metagenome sequencing are two main culture-independent strategies to explore the genetic landscape of various microbial communities. Recently, numerous studies have employed these two approaches together, but downstream data analyses were performed separately, which always generated incongruent or conflict signals on both taxonomic and functional classifications. Here we propose a novel approach, RiboFR-Seq (Ribosomal RNA gene Flanking Region... -
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FASTQSim
NGS data characterization and in silico read generation
...FASTQSim is sequencing platform-independent, and computes distributions of read length, quality scores, indel rates, single point mutation rates, indel size, and similar statistics for any sequencing platform. To create training or testing datasets, FASTQSim has the ability to convert target sequences into in silico reads with matching error profiles. FASTQsim allows the user to simulate individual read datasets that can be used as standardized test scenarios for planning sequencing projects or for benchmarking metagenomic software. In this regard, in silico datasets generated with the FASTQsim tool hold several advantages over natural datasets: they are sequencing platform independent, extremely well characterized, and less expensive to generate. -
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fitGCP
Fitting genome coverage distributions with mixture models
Genome coverage, the number of sequencing reads mapped to a position in a genome, is an insightful indicator of irregularities within sequencing experiments. While the average genome coverage is frequently used within algorithms in computational genomics, the complete information available in coverage profiles (i.e. histograms over all coverages) is currently not exploited to its full extent. Thus, biases such as fragmented or erroneous reference genomes often remain unaccounted for. Making this information accessible can improve the quality of sequencing experiments and quantitative analyses. fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. ... -
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Digital Expression on the Web
DEW is a platform that allows users to explore RNA-Seq data
...The analysis proceeds as such: gapped alignments are performed and corrected for length, PCR and fragment bias so that a Fragment Per (effective) Kilobase per Million of reads (FPKM) is estimated as well as the simpler Reads Per Kb per Million of reads (RPKM). When provided with multiple isoforms and in the ‘contextual’ mode, corrections include a expectation maximization algorithm estimates effective expression profiles and a corrected alignment is produced. For each gene the user provides, DEW computes coverage descriptive statistics (RPKM, FKMP and total, mean and median corrected counts), expression profiles (normalized as R/FPKM and trimmed mean of fold change). DEW allows users to explore the data by providing interactive graphs. -
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AlignMe
Alignment of membrane proteins
AlignMe is a C++ program to align distantly related membrane proteins by including several input parameters. Alignments based on substitution matrices, Position Specific Matrices (PSSMs), hydrophobicity scales and any kind of profiles (membrane predictions, secondary structure predictions etc.). -
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JFlux is a java library and graphical user interface to work with flow cytometry data. In particular, it is adapted to the COPAS biosorter and can analyze expression profiles.
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C++ library for protein sequence profile to profile alignment. Implementing numerous known alignment variants in a flexible and manageable architecture.
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Testing tools source code of the Integrating the Healthcare Enterprise (IHE) PIX and PDQ v3 Integration Profiles
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EPTable is a simple web-based tool to analyze microarray gene expression profiles with additional gene profiles.
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