Search Results for "error"
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Showing 42 open source projects for "error"
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BBMap
BBMap short read aligner, and other bioinformatic tools.
...Capable of handling arbitrarily large genomes with millions of scaffolds. Handles Illumina, PacBio, 454, and other reads; very high sensitivity and tolerant of errors and numerous large indels. Very fast. BBNorm: Kmer-based error-correction and normalization tool. Dedupe: Simplifies assemblies by removing duplicate or contained subsequences that share a target percent identity. Reformat: Reformats reads between fasta/fastq/scarf/fasta+qual/sam, interleaved/paired, and ASCII-33/64, at over 500 MB/s. BBDuk: Filters, trims, or masks reads with kmer matches to an artifact/contaminant file. ...and more! -
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A header file (cexcept.h) that provides Try/Throw/Catch macros similar to those available in C++ for error handling.
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PUMA Repository
Pascal Units for Medical Applications
The PUMA Repository is a collection of Pascal units for medical informatics. It contains reusable source code for a wide field of health-care application development. The code includes a support engine for the European Data Format (EDF and EDF+), converting functions for units of measurement and an HL7 engine. PUMA is compatible with Lazarus and Free Pascal. Some of the units also support other Pascal implementations including Delphi, winsoft Pocket Studio and other compilers. -
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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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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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...MIRA - Sequence assembler and sequence mapping for whole genome shotgun and EST / RNASeq sequencing data. Can use Sanger, 454, Illumina and IonTorrent data. PacBio: CCS and error corrected data usable, uncorrected not yet.
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NNmapper
Perform short reads mapping
...NNmapper can map a query read (1) to the library read that gives the smallest distance (most similar), (2) to the library read that gives the smallest distance while the distance is smaller than a threshold, or (3) all library reads that have distances smaller than threshold. NNmapper has high error-tolerant and is suitable for any read lengths. NN reports all mapping locations for multi-reads. MATLAB installation required. Mac or Linux system required. -
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MuffinEC
Multi-technology, INDEL aware error correction for NGS data
MuffinEC is an error correction software capable of handling all types of errors (insertion deletions, mismatches and unknown bases). It officially supports four technologies (Illumina, 454, ion Torrent and PacBio - experimental) and it also has a generic setup for others (old and/or new). It is released under LGPL version 3.0. MuffinEC can use multicore systems, thanks to its OpenMP implementation. -
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Trowel - Sequencing Error Corrector
Error Correction Module for Illumina Sequencing Reads
Trowel is an error correction module for Illumina sequencing reads, which is based on the k-mer spectrum approach. This tool is the first tool that uses a quality threshold instead of a coverage cutoff in order to extract trusted k-mers. This tool guarantees high accuracy and speed. This tool has been developed since 21. Jan. 2013 by Euncheon Lim in Prof. -
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The Genome Mappability Analysis suite is used for measuring how well NGS reads can be mapped to reference genomes, especially for discovering variations
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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, sequence variation, and expression datasets is now available. Please visit the Cloudomics, project for cloud-based resources: https://sourceforge.net/projects/cloudomics-for-aws/ -
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...Perform evaluation on alignment quality reals that CUSHAW3 consistently outperforms CUSHAW2, BWA-MEM, Bowtie2 and GEM in terms of single-end and paired-end alignment. Furthermore, our aligner has demonstrated better paired-end alignment performance than Novalign3 for short-reads with high error rates.
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MDA
Molecular Dynamics Analyzer (MDA)
MDA is a 3D single-particle tracking software that explicitly addresses fluorescence microscopy experiments deep in living specimens. It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced 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. ... -
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BLESS: NGS Error Correction Tool
Bloom-filter-based Error Correction Tool for NGS reads
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Virus QSP Modeling
C++ and Python code for simulating RNA virus replication
Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files. -
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IsoSearcher
Sistema de visualización de isosuperficies en imágenes médicas 3D
...Implementa algoritmos que permiten realizar mallas no-estructuradas, de las isosuperficies, compuestas de elementos triangulares; con una densidad uniforme elegida por el usuario, de acuerdo a su criterio y la cota de error admisible para las aproximaciones del cálculo numérico. Permite visualizar isosuperficies variables y utilizar un plano de corte y dos isosuperficies fijas como guía para el recorte de la estructura de interés. Además provee herramientas para guardar y cargar mallas almacenadas en el disco duro. -
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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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LiDSiM
LImits of Detection SImulation for Microbes
LiDSiM is a tool to estimate the possible influence of error-tolerant database searches and proteogenomic approaches on the amount of unidentified spectra and the ratios of taxonomic relationship of identified spectra in MS/MS studies of microbial proteomes. For more details about LiDSiM and its functioning, please see "Estimating the Computational Limits of Detection of Microbial Non-Model Organisms" Mathias Kuhring and Bernhard Y. -
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MethylExtract
High-Quality methylation maps and SNV calling from BS-Seq experiments
MethylExtract is a user friendly tool to generate i) high quality, whole genome methylation maps and ii) to detect sequence variation within the same sample preparation. The program is implemented into a single script and takes into account all major error sources: sequencing errors, bisulfite failure, clonal reads and single nucleotide variants. MethylExtract detects variation (SNVs – Single Nucleotide Variation) in a similar way than VarScan, a very sensitive method extensively used in SNP and genotype calling based on non-bisulfite treated reads. -
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SInC simulator
An accurate & fast error-model based simulator for SNPs, Indel & CNVs
SInC is an accurate and fast error-model based simulator for SNPs, Indels and CNVs coupled with a read generator for short-read sequence data. BMC Bioinformatics 2014, 15:40 doi:10.1186/1471-2105-15-40 -
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HBSAnalyzer
Aligner and methylation caller for hairpin bisulfite sequencing data
...Given the double stranded nature of the data that is used, HBS analyzer can identify errors caused by PCR and sequencing along with identifying hemi-methylated sites. This error information is also considered while making the methylation call and hence methylation sites introduced by SNPs are also identified along with the known methylation sites in the genome. -
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HBSAnalyzer
Aligner and methylation caller for hairpin bisulfite sequencing data
...Given the double stranded nature of the data that is used, HBS analyzer can identify errors caused by PCR and sequencing along with identifying hemi-methylated sites. This error information is also considered while making the methylation call and hence methylation sites introduced by SNPs are also identified along with the known methylation sites in the genome. -
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leave-kojack
Leave-k-out-Jackknife Pearson correlation
In general, Pearson correlation coefficients can be quite error-prone to outliers, thus Jackknifing may be helpful. I could not find any useful implementation for calculating more than leave-1-out Jackknife Pearson correlation coefficients. 'leave-kojack' offers an implementation for Jackknife Pearson correlation with dynamic values of k, i.e. leave-k-out Pearson correlation. -
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Athus
Manage, merge, filter and convert population genetics data
This project assists you in performing population genetic analyses by taking over the ugly, boring and error-prone data manipulation steps. Starting from well specified input formats VCF, BED and FASTA and a unique configuration file describing data (f.e. from SNP-arrays or sequencing) as well as filtering one can create standard POPGEN formats like Eigenstrat, PEDMAP (PLINK), Treemix ... In addition there are several utilities for * generating VCF from SNPArray data (NCBI - GEO, Illumina call files) * work with genetic maps ... -
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q pipeline manager
q: integrated platform for pipeline configuration and management
...Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently assembled and managed, including dependency tracking, parallelization, and pipeline-level monitoring, error recovery, and data protection. Pipelines are constructed from modular script files, with job definitions and results stored in easily retrieved job files. A web interface facilitates job submission and monitoring, with the complete pipeline exportable for full transparency.
