Search Results for "detect"
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Showing 35 open source projects for "detect"
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janda
structural variant detector
Janda is a tool to detect structural variants in whole-genome DNA sequence data. It identifies structural variants (deletions, duplications, translocations, and inversions) using anomalously mapped pair reads and realigning potential junction reads. -
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ntx
Neutrality tests using the SNP site frequency spectrum
Tests on "neutrality" are designed to detect systematic deviations from chance patterns in genetic data. This tool computes for a given SNP site frequency spectrum some standard test statistics like Tajima's D, Fay & Wu's H, etc. Additionally, the user may adapt the tests to specific demographies by specifying non-standard first and secondary moments. These can be obtained e.g. from simulations. -
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ESTScan is a program that can detect coding regions in DNA/RNA sequences, even if they are of low quality (e.g. EST sequences). ESTScan will also detect and correct sequencing errors that lead to frameshifts.
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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 reproducible recalculation of results. ... -
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DAMIAN
Identification of pathogenic microorganisms in diagnostic samples
DAMIAN provides capabilities to detect known and novel pathogens in RNA and DNA samples of various sources. It integrates all required processing steps, ranging from the quality control of sequencing reads to the generation of comprehensive reports. The method works for any host organism. -
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MATS is a computational tool to detect differential alternative splicing events from RNA-Seq data. The statistical model of MATS calculates the P-value and false discovery rate that the difference in the isoform ratio of a gene between two conditions exceeds a given user-defined threshold. From the RNA-Seq data, MATS can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns.
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bwfinder
Exogenous feature extractor from brainwaves
...Brainwave segments of 1 s are Fourier transformed, thresholded and merged if contiguous. Selected segments are drawn in time domain, frequency domain and a narrow-band analysis at 75 Hz is attempted. This program should detect strong external signals in brainwave recordings. Weak signals are not detected. This program requires the "edf2ascii" utility, a set of EDF files with brainwave recordings in the "EDF/" directory and two empty destination directories named "founds/" and "losts/". This is my first Matlab/Scilab program, apologies for the poor style but Scilab lacks and bugs prevent the writing of a pure code. ... -
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rMATS-ISO
rMATS-Iso is a generalization of rMATS for complex splicing patterns.
rMATS-Iso is a generalization of the rMATS statistical framework, to detect differential splicing modules with complex splicing patterns using replicate RNA-seq data. -
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BisSNP
Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller
...It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. Google group for help: http://goo.gl/zL7Nj -
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10
scalpel
Genetic variants discovery tool
Bioinformatics pipeline for discovery of genetic variants from NGS reads. -
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GNAT
GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/. -
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CNVMM
CNVMM performs copy number variations detection
CNVMM specializes in identifying copy number variations (CNVs) when there are repeated sequences in the reference genome. The input file is a single short read mapping result from any short read aligners. However, NNmapper or Bowtie2, which detect all mapping results for multi-reads, are recommended. To use the code, MATLAB installation is required. Mac or Linus system is required. -
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...Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them. EigenMS eliminates effects from known and unknown factors and can be utilized for any -omic platform. We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". ...
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14
detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
... [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectMITE? Ye C, Ji G, Liang C (2016) detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Sci. Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?... -
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Saguaro Genome-Wide is a program to detect signatures of selection within populations, strains, or species. It takes SNPs or nucleotides as input, and creates statistical local phylogenies for each region in the genome.
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REDO
REDO - RNA Editing Detection in Organelle
...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 multiple samples simultaneously and identify differential proportion of RNA editing events in different samples. Moreover, the genome variation can be easily removed by a subprogram fish.pl in our package. -
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MULTOVL
Multiple overlaps of genomic regions
The MULTOVL suite of programs finds multiple overlaps among genomic regions. The MULTOVL algorithm can detect several kinds of region overlaps. In addition to the N-fold overlaps you can detect solitary regions which are the input regions that do not overlap with any other region in the input data set, and union overlaps that is the union of the input regions that overlap at least once somewhere. IMPORTANT NOTICE: MULTOVL has been migrated to BitBucket. -
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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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riboFR-seq
A novel approach to linking 16S rRNA amplicon profiles to metagenomes
...Here we propose a novel approach, RiboFR-Seq (Ribosomal RNA gene Flanking Region Sequencing), for capturing both ribosomal RNA variable regions and their flanking protein-coding genes simultaneously. We demonstrated that RiboFR-Seq could detect the vast majority of bacteria not only in well-studied microbiomes but also in novel communities with limited reference genomes. Combined with classical amplicon sequencing and shotgun metagenome sequencing, RiboFR-Seq can link the annotations of 16S rRNA and metagenomic contigs to make a consensus classification. -
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SAMSVM
A tool for misalignment filtration on SAM-format sequences with SVM
Applying the LIBSVM, a package of support vector machine, SAMSVM was developed to correctly detect and filter the misaligned reads of SAM format. Such filtration can reduce false positives in alignment and the following variant analysis. -
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CIMS
Crosslinking induced mutation site analysis
This package includes the scripts to detect statistically reproducible crosslinking induced mutation sites (CIMS) and cross linking induced truncation sites (CITS) from HITS-CLIP data. References: Moore, M.*, Zhang, C.*, Gantman, E.C., Mele, A., Darnell, J.C., Darnell, R.B. 2014. Mapping Argonaute and conventional RNA-binding protein interactions with RNA at single-nucleotide resolution using HITS-CLIP and CIMS analysis. -
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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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...MGEScan-LTR is a software that can identify new LTR retrotransposons without relying on a library of known elements. It uses approximate string matching technique and protein domain analysis to detect intact LTR retrotransposons. In addition, it identifies partially deleted or solo LTRs using profile Hidden Markov Models (pHMMs). MGEScan-non-LTR is a software for the identification of non-LTR retrotransposons in genomic sequences, following a computational approach inspired by a generalized hidden Markov model (GHMM). References: 1. ...
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GraFIX is a software and a method to detect fixations in low and high quality data, consisting of a two-step process in which eye-tracking data is initially parsed by using adaptive velocity-based algorithms, before it is hand-coded using the graphical interface, allowing accurate and rapid adjustments of the algorithms' outcome. GraFIX is released under the GPLv3 public license (http://www.gnu.org/licenses/).
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The DeconSeq tool can be used to automatically detect and efficiently remove sequence contamination from genomic and metagenomic datasets. It is easily configurable and provides a user-friendly interface. More at http://deconseq.sourceforge.net
