Search Results for "malware-samples"
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Showing 58 open source projects for "malware-samples"
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BioEmu
Inference code for scalable emulation of protein equilibrium ensembles
Biomolecular Emulator (BioEmu for short) is a model that samples from the approximated equilibrium distribution of structures for a protein monomer, given its amino acid sequence. By default, unphysical structures (steric clashes or chain discontinuities) will be filtered out, so you will typically get fewer samples in the output than requested. The difference can be very large if your protein has large disordered regions, which are very likely to produce clashes. -
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In addition to RPKM (Reads Per Kbp per Million reads) values, RACKJ computes read counts for exons and splicing events. In so doing, it is feasible to compare two samples and identify genes with most significant difference in exon(splicing)-level.
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MPIGeneNet
Parallel tool to construct gene co-expression networks
MPIGeneNet is a parallel tool to construct gene co-expression networks using Pearson’s correlation and Random Matrix Theory (RMT). This tool takes as input a matrix with the expression values (a float value) for different genes observed from several samples. It is a parallelization of RMTGenNet tool (https://github.com/spficklin/RMTGeneNet). MPIGeneNet integrates the whole procedure of creating the in one program, which makes the tool easier to work with (the users only have to launch the application once) and avoids writing/reading from intermediate files among the modules. -
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sRNAWorkbench
The UEA sRNA Workbench
A suite of tools for analysing small RNA (sRNA) data from Next Generation Sequencing devices. Including expression profiling of known mirco RNA (miRNA), identification of novel miRNA in deep-sequencing data and identification of other interesting landmarks within high-throughput genetic data -
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Fusion Detection Pipeline
Fusion gene detection pipeline bundled into a Singularity container.
...Further filtering is realized by a custom blacklist, our Promiscuity Score (PS) and Robustness Score (RS). Identified fusion genes are reported with evidence levels based on our filtering. This pipeline has been developed and optimized in a study of 806 AML patient samples (https://doi.org/10.3324/haematol.2021.278436). -
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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 guarantee that all files are the version used in the analysis. Also, please be aware that these were very much developed with expediency in mind - that is, the process was expected to be performed in its final form once; little care was given to optimising runtime or chaining scripts together, and sometimes external resources are accessed manually. -
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We provided a normal method to fit 2/3D open or closed curves. With fitting results, we can make morphometric analyses of some samples. If you have any questions, please contact Shengmin Zhou(email: 2495077522@qq.com or 220180304@seu.edu.cn). If you want to download this project and use it, please cite the paper: Zhou, S., Li, B. & Nie, H. Parametric fitting and morphometric analysis of 3D open curves based on discrete cosine transform. Zoomorphology (2021). https://doi.org/10.1007/s00435-021-00520-w
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FusionCatcher
Somatic fusion-genes finder for RNA-seq data
FusionCatcher searches for novel/known somatic fusion genes, translocations, and chimeras in RNA-seq data (paired-end reads from Illumina NGS platforms like Solexa and HiSeq) from diseased samples. The aims of FusionCatcher are: - very good detection rate for finding candidate fusion genes, - very easy to use (i.e. no a priori knowledge of databases and bioinformatics is needed in order to run FusionCatcher), - very good detection of challenging fusion genes, like for example IGH fusions, CIC fusions, DUX4 fusions, CRLF2 fusions, TCF3 fusions, etc... -
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Calis-p
Estimates delta13C of species in a microbiome from proteome data
Calis-p (The CALgary approach to ISotopes in proteomics) is a java application to estimate isotopic composition (e.g. delta13C or delta15N) of individual species in a microbial community from a proteomic dataset. Calis-p 2.0 handles both natural isotope abundances and data from labelling experiments such as stable isotope probing (SIP). It requires a mzIdent (or target spectrum match) and mzML files as the input and requires about 1 min per mzML file with 10 threads and needs <10 Gb of RAM.... -
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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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MoPAC
The Modular Pipeline for the Analysis of CRISPR screens
To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page. -
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MetaErg
Metagenome Annotation Pipeline
MetaErg is a stand-alone and fully automated metagenome and metaproteome annotation pipeline published at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00999/full. If you are using this pipeline for your work, please cite: Dong X and Strous M (2019) An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs. Front. Genet. 10:999. doi: 10.3389/fgene.2019.00999 The instructions on configuring and running the MetaErg pipeline is available at GitHub... -
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The Elvira project is a suite of tools to perform high-throughput genomic assemblies of repetitive, structured samples such as viruses or targeted regions of larger genomes.
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CompleXChange
differential analysis of combinatorial protein complexes
The increasing wealth of transcriptomic data and current computational tools enable to infer how protein interactomes and complexomes may be assembled in specific samples. With CompleXChange this information can be exploited to conduct differential analyses of the dynamic protein complexome in a quantitative manner. The corresponding publication can be found on https://doi.org/10.1186/s12859-019-2852-z. -
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ParBiBit
Parallel tool to search biclusters on binary datasets
ParBiBit is a parallel tool to accelerate the search of biclusters on binary datasets, especially useful for gene expression data. This tool receives as input the expression values of n genes and m samples in a file with ARFF extension and returns a file with the biclustering information. -
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MPICorMat
Parallel tool to construct correlation similarity matrices
MPICorMat is a parallel tool to construct correlation similarity matrices as part of the procedure to generate gene co-expression networks. This tool takes as input a matrix with the expression values (a float value) for different genes observed from several samples. It is a parallelization of the first module of the RMTGenNet tool (https://github.com/spficklin/RMTGeneNet). RMTGeneNet users can exchange this CCM module by MPICorMat, benefit from its fast computation to generate the similarity matrix, and then use the similarity matrix as input for the second module (RMM) to construct the final gene co-expression network. -
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datasw
datasw, a tool for rapid processing of HPLC-SAXS data.
...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 experiment using a sliding window of a user-specified size, calculates overall parameters (I(0), Rg, Dmax and MW) and predicts the folding state (folded/unfolded) of the sample. Applications of DATASW are illustrated for several proteins with various oligomerization behaviors recorded at different beamlines. ... -
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MOIRAI
Simple Scientific Workflow System for CAGE Analysis
...Embedded within the workflows are graphical quality control indicators allowing users assess data quality and to quickly spot potential problems. MOIRAI package comes with three main workflows allowing users to map, annotate and perform an expression analysis over multiple samples. -
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metasort
A metagenome assembler by reducing microbial community
...However, novel microbial communities extend far beyond the coverage of reference databases and de novo metagenome assembly from complex microbial communities still remains a great challenge. Here we present a novel experimental and bioinformatic framework, metaSort, for effective construction of bacterial genomes from metagenomic samples. MetaSort provides a sorted mini-metagenome approach based on flow cytometry and single-cell sequencing methodologies, and employs new computational algorithms to efficiently recover high-quality genomes from the sorted mini-metagenome by the complementary of the original metagenome. Through extensive evaluations on simulated dataset, salivary and gut microbiomes, we demonstrated that metaSort has an excellent and unbiased performance on genome recovery and assembly. -
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Ionwinze
Spot the differences between samples, groups and classes
To download please go to Browse All Files for the complete pack! In mass spectrometry the detector responses are not always directly proportional to the quantity of compounds. Large peaks in LCMS traces are not equal to major components but their ionizability. The effectiveness of a medicinal plant, poisons in a mushroom, resistance and susceptibility to pest and diseases are not necessarily because of the compounds that give large peaks. These traits are determined by the different... -
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VCF Explorer
A desktop application for analyzing whole genome VCF files
...Efficient memory management of the program and the elimination of preliminary parsing step enable to carry out the analysis at ordinary computers. VCF-Explorer presents an easy to use environment where various types of queries for the annotation and the samples can be defined. VCF-Explorer can be run at different environments and computational platforms ranging from a standard laptop to an advanced server. -
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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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GNomEx
A Genomic LIMS and Data Repository
Our source code is now on GitHub: https://github.com/hci-gnomex/gnomex. Please refer to GitHub for the latest code. GNomEx is Genomic LIMS and Data Repository. It holds annotated experiments and downstream analysis and serves data tracks to popular genome browsers such as IGB, IGV, and UCSC genome browser. The LIMS handles all aspects of the experiment from order through results delivery. Experiment platforms supported include Illumina HiSeq, MiSeq, iScan, ABI Sanger sequencing,... -
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Corbata
CORe microBiome Analysis Tools
Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples. -
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CoNet
Find relationships between repeatedly observed items
CoNet is a Cytoscape plugin that detects significant non-random patterns of co-occurrence (copresence and mutual exclusion) in incidence and abundance data. It has been designed with (microbial) ecological data in mind, but can be applied in general to infer relationships between objects observed in different samples (for example between genes present or absent across organisms).
