Search Results for "classification"
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Showing 47 open source projects for "classification"
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...Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007 Aug;73(16):5261-7. 2. Wang Q, Cole JR. Updated RDP taxonomy and RDP Classifier for more accurate taxonomic classification. Microbiol Resour Announc. 2024 Apr 11;13(4):e0106323.
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Mathematical Modelling Ontology
Ontology of types of mathematical models, and their properties
The Mathematical Modelling Ontology (MAMO) is a classification of the types of mathematical models used mostly in the life sciences, their variables, relationships and other relevant features. -
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...ITI extracts regions in the interactome with differentiating expression over two conditions. These subnetworks can that be used to build a generalizable and stable genomic signature for genomic/cancer classification.
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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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Marine Mammal Acoustic DCL
Advanced acoustic detection, classification and localization
Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats. -
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Root Phenotyping Suite
Three different software tools for phenotyping plant root images
...RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and produces statistics about the morphological properties of the root cells and tissues. RTipC is a system for the fully automated detection and classification of root tips in root images obtained either by 2d flat bed scanning or by 3D digital camera imaging. The software provides a robust, efficient and accurate means of phenotyping of roots, by detecting individual root tips and classifying them as belonging to a primary or lateral root. RootGraph is a novel, fully automated and robust approach for the detailed characterization of root traits, based on a graph optimization process. ... -
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PyTom
http://www.sciencedirect.com/science/article/pii/S1047847711003492
PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions. -
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JSiteDescriptor
Binding site descriptor generation for SVM based classification.
A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too). -
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CABBaGe
Classification Algorithm Based on a Bayesian method for Genomics
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...The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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Kinannote
Protein Kinase Identification and Classification
Kinannote identifies and classifies protein kinases in a user-provided fasta file using an HMM derived from serine/threonine protein kinases, a position specific scoring matrix derived from the HMM, and comparison with a local version of the curated kinase database from kinase.com. If the user inputs a complete proteome, additional modules evaluate the completeness of the kinome and place it in context with reference kinomes. Kinannote runs on a unix command line and depends on local hmmer 2... -
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A machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
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MCCCS
Multi Channel Classification and Clustering
Here we present an image-based Multi Channel Classification and Clustering System (MCCCS). It is an generalized, script-based classification system for processing various kinds of image data. Due to the modular design, individual processing-components can be easily adapted, extended or exchanged by own extensions. See project website for installation instructions. -
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MORPHE
MORphological PHenotype Extraction
MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony. -
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riboFR-seq
A novel approach to linking 16S rRNA amplicon profiles to metagenomes
...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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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. -
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Sequencia
Protein Primary Sequnece Analysis
...SEQUENCIA Tool is an offline Tool of Primary Sequence Analysis, which is quite prevalent Topic for Researchers all over the world. Sequence Name, Sequence Length, Absorbance, Net charge, Iso electric charge, Amino acid composition, Amino acid classification, Aliphatic Index, Instability Index, Average Hydropathy etc are the Primary Sequence Analysis related Attributes for which this Tool exist. This work includes all the Physiochemical Properties- related to Primary Sequence Analysis under a common platform. JAVA, BIOJAVA were used under Platform Independent architecture. The Tool includes Properties of being offline where result can be stored in Text Format, here we can paste more than one sequence and also upload FASTA file to compute Parameters. -
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TUIT
Taxonomic Unit Identification Tool
...Read our paper in Biotechniques: http://www.ncbi.nlm.nih.gov/pubmed/24502797 Taxonomic Unit Identification Tool (TUIT) is a free open source platform-independent software, designed specifically to facilitate taxonomic annotation of nucleotide sequences via BLAST homology search against the NCBI databases. TUIT is immediately applicable for both to 16S microboime studies as well as for taxonomic classification of the nucleotide reads. Please see the project's Wiki page. -
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CS Miner
A tool for Navigating in Chemical Space
CS-Miner stands for Chemical Space Miner and is a software tool for navigating in chemical space of compound databases. It helps for deriving appropriate classification models and performing virtual screening. Download it via: http://csminer.com/csm/?p=7 A quick tutorial is available through: http://csminer.com/csm/?p=8 -
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MetaDomain
Protein domain classification for short sequences
MetaDomain is a protein domain classification tool designed for very short next-generation sequencing reads. It achieves better sensitivity and low false positive rate compared with the state-of-the-art profile hidden Markov model (profile HMM) alignment tool in identifying encoded domains from short sequences. -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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...Rho et al., "De novo identification of LTR retrotransposons in eukaryotic genomes", BMC Genomics (2007) 8:90. 2. M. Rho and H. Tang, "MGEScan-non-LTR: computational identification and classification of autonomous non-LTR retrotransposons in eukaryotic genomes", Nucleic Acids Research (2009) 37:21.
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Protdraw
Create portable, flexible domain drawings of protein sequences
...ProtDraw is accompanied by makeProtDraw, a helper program which runs hmmer3 on a specified set of hidden Markov models and formats results for ProtDraw. Highest-scoring domains are selected in cases of overlap. Domain drawings may be organized by sequence classification. -
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CAPE RNA
Classification based Analysis of Paired Expression data of RNA
CAPE RNA is package of command-line tools for integrated analysis of miRNA-mRNA expression data. miRNA-mRNA interaction states are assigned for each sample independent of a priori known experimental groups. Using these interaction classifications Jaccard-indexes are calculated to evaluate the quality of a predicted interaction based on the distribution of assigned interaction states compared to experimental groups. In addition, negative correlation between miRNA and mRNA expression can be analyzed. -
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SecStAnT
Secondary Structure Analysis Tool for data selection and statistics
SecStAnT is a tool for the automatic creation of data-sets of structures from Protein Data Bank (PDB) with user-defined structural composition, and for the calculation of their internal variables distributions. SecStAnT is able to 1. Select from PDB data sets of structures based on user specified secondary structures (defined based on internal PDB classification or on DSSP) and/or sequence motives. 2. Build Data-sets at different levels of resolution (all atoms, only backbone, only Cα, ...) 3. Evaluate statistical distributions of internal variables: a. single variable distributions (including the most relevant in the atomistic representation, e.g. PHI and PSI and a number of those for the Cα based representation) b. two variables correlations (including the PHI-PSI Ramachandran map and its equivalent in the Cα based representation) c. three variables correlations
