Search Results for "leaf disease detection"
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Showing 11 open source projects for "leaf disease detection"
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1
ISVASE
identification of sequence variant associated with splicing event
To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently by RNA splicing mechanism. It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data. Comparing with the existing software PVAAS, our method has several advantages such as stringent rule-depended filters and statistical filters in each step, detection sequence variants for known splicing events, identification sequence variants in two parts of splicing (junction) separately, detection junction shift events if providing known splicing annotation, evaluating splicing signal, comparing with known DNA mutation and/or RNA editing data, and short running time. -
2
MetaOpen
Metabolomics Bioinformatics Tools
...Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility. -
3
ExAM-Exome_Analysis_And_Mining
A whole exome sequencing analysis package and its graphical interface
...Here, we present an interactive and free analysis package, ExAM, dedicated to whole exome sequencing data analysis. It is accessible to non-computer scientists and provides a complete set of information, as well as decision support to prioritize candidate disease causing variants. -
4
Virmid
Virtual Microdissection for SNP calling
NEWS: 11-07-2013 A new version Virmid 1.1.0 has been uploaded. 08-29-2013 Virmid paper is now published in Genome Biology. Kim S et al, "Virmid: accurate detection of somatic mutations with sample impurity inference", Genome Biology 2013, 14:R90 http://genomebiology.com/2013/14/8/R90/abstract Virmid (Virtual Microdissection for SNP calling) is a Java based variant caller designed for disease-control matched samples. Virmid is also specialized for identifying potential within individual contamination where the disease sample cannot be purified enough. ... -
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5
HomSI
Homozygous Stretch Identifier from next-generation sequencing data
...This situation leads to the prevalence of recessive diseases among the members of these families. Homozygosity mapping is based on this observation and several recessive disease genes have been discovered with the help of this technique in consanguineous families. The researchers typically use SNP arrays to determine the homozygous regions and then search for the disease gene by sequencing the genes within this candidate disease loci. Recently, the advent of next generation sequencing enables the concurrent identification of homozygous regions and the detection of mutations relevant for diagnosis, using data from a single sequencing experiment. ... -
6
VarImpact
Extracting effects of mutations on molecular properties from text.
...Our aim is to bridge the gap between detection of genetic variants and their annotation with aforementioned observations. VarImpact extracts experimentally observed changes from the literature. This allows to annotate sequencing results with observed impacts, gather information about the mutational landscape observed in disease populations, and to study disease mechanisms. -
7
WM Hyperintensities Segmentation Toolbox
Open Source White Matter Hyperintensities Segmentation Toolbox
Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies. -
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RODS (Real-time Outbreak and Disease Surveillance) is a real-time computer-based public health surveillance system initially developed at the RODS Laboratory, University of Pittsburgh for the early detection of disease outbreaks .
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9
PathMEN
A Java tool for mining pathway mentions from literature
PathNER is a tool for the identification of specific pathway mentions from biomedical literature. PathNER is built upon the GATE embedded framework.It's based on soft dictionary matching and rules-based detection. The dictionary is generated from ConsensusPathDB and Pathway Ontology and the rules are implemented in JAPE. Using PathNER, you can identify all occurrences of informative pathway names (e.g. 'the Wnt pathway'). PathNER can be used to assist studies that aim at uncovering associations between disease and pathways. -
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10
MetCore
Metabolomics Bioinformatics Tools
...Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility. -
11
Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
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