Search Results for "patterns"
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Showing 33 open source projects for "patterns"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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AlphaGenome
Programmatic access to the AlphaGenome model
...This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. AlphaGenome achieves state-of-the-art performance across a range of genomic prediction benchmarks, including numerous diverse variant effect prediction tasks. -
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Croizat
A software package for quantitative analysis in Panbiogeography
Croizat is a free, user-friendly, cross-platform desktop software package which biologists can use to integrate and analyze spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach. -
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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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BD-Func
Bidirectional Functional Enrichment of Gene Expression Data
BD-Func is an algorithm to predict activation or inhibition of pathways based upon gene expression patterns. If you use BD-Func, please cite: Warden C, Kanaya N, Chen S, and Yuan Y-C. (2013) BD-Func: A Streamlined Algorithm for Predicting Activation and Inhibition of Pathways. peerJ, 1:e159 -
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GelJ
GelJ is a Java program for the analysis of DNA gel fingerprints images
...Some of the outstanding features of GelJ are functionality for accurate lane- and band-detection, several methods for computing migration models and generating dendrograms, comparison of banding patterns from different experiments, and database support. Citing GelJ: J. Heras, C. Domínguez, E. Mata, and V. Pascual. GelJ – a tool for analyzing DNA fingerprint gel images. BMC Bioinformatics 2015, 16:270 http://doi.org/10.1186/s12859-015-0703-0. You can see more information about GelJ in https://sourceforge.net/p/gelj/wiki/Home/ Several videos explaining the use of GelJ are available in https://sourceforge.net/p/gelj/wiki/Videos/ Please address any question or comment to joheras at gmail.com -
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...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. MATS handles replicate RNA-Seq data from both paired and unpaired study design. More information can be found at http://rnaseq-mats.sourceforge.net.
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HyLiTE
Hybrid Lineage Transcriptome Explorer
...Allopolyploidy describes the formation of a new hybrid organism from the union of two or more different parents. Allopolyploid species carry multiple copies of each gene (homeologs), which often exhibit unusual expression patterns. Homeolog expression levels can technically be determined from next generation sequencing data (RNA-seq), but in practice, assigning reads to one homeolog over another is extremely challenging, particularly on a whole-genome scale. HyLiTE automates this process, and allows gene expression patterns to be explored even in very complex allopolyploid species. -
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A key goal for NEMO is the development of a formal logic (“ontology”) to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, different experiment paradigms, and different modalities (EEG/MEG)
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Parasoft: Automated Testing to Deliver Superior Quality SoftwareParasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
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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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CoverageAnalyzer
RNA modification detection by RT signatures in deep sequencing data
Combination of reverse transcription (RT) and deep sequencing has emerged as a powerful instrument for detection of RNA modifications, a field that has seen a recent surge in activity because of its importance in gene regulation. Recent studies yielded high-resolution RT signatures relying on both, sequence dependent mismatch patterns and RT arrests. Common alignment viewers lack in specialized functionality, such as filtering, tailored visualization, differential analysis and export. Consequently, the community will profit from a platform seamlessly connecting detailed visual inspection of RT signatures and automated screening for modification candidates. CoverageAnalyzer was developed in response to the demand for a powerful inspection tool, running on all 3 OSes. ... -
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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). -
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PromKappa 2.0 (DNA patterns in Java)
PromKappa 2.0 (Java source code and bin)
A Java adaptation of DNA patterns based on the article "Eukaryotic genomes may exhibit up to 10 generic classes of gene promoters". by Ilie Guta (Java source code for DNA patterns) -
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed to address problems in epidemiological data mining to identify complex patterns relating predictive attributes in noisy datasets to disease phenotypes of interest. ... -
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cmotif
A method for mining conditional phosphorylation motifs
Phosphorylation motifs represent position-specific amino acid patterns around the phosphorylation sites in the set of phosphopeptides. The discovery of phosphorylation motifs is a very valuable work in bioinformatics. Although several algorithms have been proposed to uncover phosphorylation motifs, the problem of efficiently discovering a set of significant motifs with sufficiently high coverage and non-redundancy still remains unsolved. -
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PolyCTLDesigner
Python scripts for designing polyepitope T-cell immunogens
Given the peptides (T-cell epitopes) PolyCTLDesigner selects flanking sequences to optimize TAP-binding and joins resulting oligopeptides into a polyepitope in a way providing efficient liberation of potential epitopes by proteasomal and/or immunoproteasomal processing and minimizing the number of junctional epitopes. For constructing polyepitopes PolyCTLDesigner utilizes known amino acid patterns of proteasome cleavage and TAP-binding specificity. PolyCTLDesigner is also able to choose antigenic peptides covering selected HLA repertoire with desired redundancy rate. Given the antigen sequences PolyCTLDesigner is also able to select T-helper epitopes. For predicting T-cell epitopes it uses TEpredict. -
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PARSEC - PAtteRn SEarch / Context
PARSEC - PAtteRn SEarch and Contextualization
...Most genomic sites are represented by short, degenerated motifs with a scattered distribution and sometimes with biological function (ex: regulation of gene expression, splicing patterns or epigenetics signals). These motifs are associated with a huge amount of noise and thus, the development of a computational platform for accurate detection of genomic sites requires the integration of various large-scale biological data in order to filter out false positives. PARSEC represents an intuitive, modular (easily extensible) and all-in-one solution for the efficient integration of lots of diverse genomic information in order to perform nonlinear localization and characterization of biological sites in a user-friendly environment. ... -
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Application to create 'electronic fluorescent pictographic' representations of gene expression patterns. Created at the Provart lab of the department of Cell & Systems Biology, University of Toronto.
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TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
...The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem exists, it will be found. In experiments with real-life data, the algorithms were shown to be able to construct complete non-redundant sets of patterns for chemical datasets involving several thousands of molecules as well as for comparably large datasets from genomics or proteomics. ... -
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Ontology Design Patterns (ODPs) are well known and efficient modeling solutions for ontologies. This public catalog offers a collection of well documented and tested ODPs, including examples from the biological knowledge domain, implemented in OWL.
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KGP is a program that reveals the KIR (Killer-cell Immunoglobulin-like Receptors (KIR)) genotypic diversity within a dataset using binary coded KIR genotypic patterns generated by the presence and absence of 16 KIR genes on a diploid chromosome.
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The SPELL gene expression explorer searches multiple datasets for related gene expression patterns. Hibbs MA, et al. Exploring the functional landscape of gene expression: Directed search of large microarray compendia. Bioinformatics, 2007.
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This tool is designed to solve generalized pattern matching problem, by which we only find a set of sub-patterns, ignoring the gaps in between the sub-patterns. This tool is extremely fast and also has good tolerance to errors.
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Whole-genome scale multiple genome local alignment search program. Supports unlimited length gapped-seed patterns, parallelization through distributed hashing, and unique a TF-IDF based repeat filtering method.
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PhyloPattern is a Java/Prolog API, helpful to simulate human reading of phylogenetic trees. Bioinformatician can: annotate trees, apply complex patterns to a tree to search specific architectures or extract information, compare trees with dynamically gen
