Search Results for "level set methods"
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Showing 21 open source projects for "level set methods"
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In addition to computing co-expression clusters, Maccu fishes potential co-expressed genes for a given bait set. All results can be further processed via graph-level operations so that we can compare graphs based on different reference data.
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Amplicon_Sequencing_Worfklow
Analyzing amplicon data from sequences to stats
This is a collection of scripts and instructions on how to analyzing amplicon sequence data (i.e., 16S, ITS2, & other marker genes). I created this workflow to create a consistent set of methods for analyzing amplicon sequence data, from when you first receive the sequence data to statistical analyses & data visualization. All you need is to have the latest version of R installed, some experience with the command line & shell, and enough memory to run all of the programs. There are also instructions provided in case you are running these analyses via a computing cluster/Slurm workload manager. ... -
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VMS Draw
user-friendly access to the latest computational spectroscopy tools
...Finally, it permits effective interactions with other electronic structure codes [e.g., nuclear magnetic resonance (NMR), microwave] even if Gaussian 16 offers the widest set of methods for computational spectroscopy. -
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CBMPy
PySCeS Constraint Based Modelling
...Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently translating these into the underlying mathematical structures. . CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services -
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AKtoolbox
Matlab Toolbox for coevolution analysis of multiple sequence alignment
AK Toolbox is a Matlab Toolbox for co-evolution analysis for protein Multiple Sequence Alignment (MSA) distributed under Simplified BSD License. The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. ... -
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Mass Difference Calculator
Mass Difference Calculator with a Graph for MassLynx data
A Mass Difference Calculator with a graph for MassLynx. Bring in a text file with reference masses and then paste in or browse in another file with a list of mass/intensity pairs. Then look at the best matching points and see what the difference between reference and data comes out as. This is a companion app to ResCalc3 -
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bio-cargo
CARGO - Compressed ARchival for GenOmics
CARGO is a high-level framework that can semi-automatically generate software systems optimized for the compressed storage of arbitrary types of large genomic data collections. Straightforward applications of CARGO methods to compress FASTQ and SAM format archives require only a few lines of code, produce solutions that match and sometimes outperform specialized format-tailored compressors, and scale well to multi-TB datasets. -
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GASiC
Genome Abundance Similarity Correction
One goal of sequencing based metagenomic analysis is the quantitative taxonomic assessment of microbial community compositions. However, the majority of approaches either quantify at low resolution (e.g. at phylum level) or have severe problems discerning highly similar species. Yet, accurate quantification on species level is desirable in applications such as metagenomic diagnostics or community comparison. GASiC is a method to correct read alignment results for the ambiguities imposed by similarities of genomes. It has superior performance over existing methods. ... -
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MSL
http://dx.doi.org/10.1002/jcc.22968
MSL is a C++ library that enables the computational study of macromolecules. The MSL library is not a program (although some applications are distributed) but a tool for scientist to code their own molecular modeling methods. Philosophy The main goal is to create a set of tools that enable the computational study of macromolecules with relative ease at all levels, from simple operations (for example, load a PDB and measure a distance or edit a dihedral) to complex applications (protein modeling or design). MSL is developed in the Senes Lab at the University of Wisconsin-Madison and by a team of developers/users from other research laboratories. ... -
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nail_systems_biology
NAIL is a toolset for network analysis in the life sciences
The NAIL (Network Analysis and Inference Library) project is a set of tools for solving problems in the life sciences using network (graph) approaches. NAIL includes methods for creating networks, analysing and comparing networks, and for visualising or presenting the results. These methods are designed as self-contained platform-independent components which can be called either from another program, or from a command line. -
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GENESIS (GEneral NEural SImulation System) is a software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes.
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CDSbank
multi-sequence extraction, filtering & formatting
...CDSbank also stores Genbank feature annotation, a flag to indicate incomplete 5’ and 3’ ends, full taxonomic data, and a heuristic to rank the scientific interest of a species. This rich information allows fully automated data set preparation with a level of sophistication that meets or exceeds manual processing. Defaults ensure ease of use for typical scenarios while allowing great flexibility when needed. Access is via a free web service at http://hazeslab.med.ualberta.ca/CDSbank/. SourceForge code can be used to build a local installation. -
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Fylogenetica
Constructing level-1-networks consistent with a set of quartets
This project is an implementation of an algorithm by J. Keijsper and R. Pendavingh. The goal of the algorithm is to construct a phylogenetic level-1-network that is consistent with a given set of quartets. -
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GEPETTO - Gene Prioritization in Java
GEPETTO (GEne Prioritization ExTended TOol)
...We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com -
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LiverSegm has been developed with the processing of liver images in mind. This software implements a level set based variational approach that incorporates shape priors and appearance models. It uses ITK Snap as interface.
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).
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Cis-Regulatory analysis modules. Includes frequenc/weight matrices scanning at genome level, annotation by using DB access to ensembl, genekeydb, etc. and visualization (through Bioperl or as custom UCSC tracks). May include gene set analysis in future.
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trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. ...
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