Showing 20 open source projects for "algorithm"

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  • 1

    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
    Downloads: 1 This Week
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  • 2
    Interactome  Transcriptome Integration
    The Interactome-Transcriptome Integration (ITI) algorithm allows the analysis of gene expression data by superimposition of a large scale protein-protein interaction data (human interactome) over several gene expression datasets. 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.
    Downloads: 0 This Week
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  • 3

    ModST

    A tool to search post-translational modifications in a blind mode

    ModST (pronounced as modest) is a tool to search post-translational modifications (PTMs) in mass spectrometry data in an unrestrictive manner. It can search for hundreds of modification without any user provided information for variable modifications. Due to data level parallelization implemented through perl it is fast, portable and easy to use to identify and analyse PTMs in MS/MS data.
    Downloads: 1 This Week
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  • 4

    COHCAP

    City of Hope CpG Island Analysis Pipeline

    COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub...
    Downloads: 2 This Week
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  • 5

    MaxBin

    An automatic tool for binning metagenomics sequences

    MaxBin is a software for binning assembled metagenomic sequences based on an Expectation-Maximization algorithm. Users could understand the underlying bins (genomes) of the microbes in their metagenomes by simply providing assembled metagenomic sequences and the reads coverage information or sequencing reads. For users' convenience MaxBin will report genome-related statistics, including estimated completeness, GC content and genome size in the binning summary page. Users could use MEGAN...
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    Downloads: 3 This Week
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  • 6
    CABBaGe

    CABBaGe

    Classification Algorithm Based on a Bayesian method for Genomics

    Downloads: 0 This Week
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  • 7

    iCAS - An Illumina Clone Assembly System

    An Illumina clone assembly system using SOAPdenovo and ABySS

    Clone-by-clone sequencing, as a means of achieving high quality assemblies for large and complex genomes, continues to be of great relevance in the era of high throughput sequencing. However, assemblies obtained using current whole genome assemblers are often fragmented and sometimes have issues of genome completeness owing to different data characteristics introduced by multiplexed sequencing. With iCAS the data filtering process is based on a novel kmer frequency algorithm, resulting...
    Downloads: 1 This Week
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  • 8

    CNVision

    CNV prediction from Illumina genotyping data

    CNVision is a Perl script that runs Illumina genotyping data (all chips from 300k to latest Omni) through PennCNV, QuantiSNPv2.3 and GNOSIS (an in-built algorithm). It merges the results and assesses the quality of the raw data. CNVision can also identify de novo CNVs in family-based data using a highly accurate algorithm that considers the possibility of CNVs in either parent based on the raw genotyping data. The script is optimized to work in a UNIX-based environment; it should work...
    Downloads: 0 This Week
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  • 9

    mCarts

    A hidden Markov model to predict clustered RNA motif sites

    Many RBPs recognize very short and degenerate sequences, with targeting specificity achieved by mechanisms such as synergistic binding to multiple clustered sites and modulation of site accessibility through different RNA-secondary structures. mCarts integrates the number and spacing of individual motif sites, their accessibility and conservation, which substantially improves signal to noise ratio. This algorithm learns and quantifies rules of these features, taking advantage of a large number...
    Downloads: 0 This Week
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  • 10

    Digital Expression on the Web

    DEW is a platform that allows users to explore RNA-Seq data

    DEW is a platform that allows users to explore RNA-Seq data. A web-based Graphical User Interface is included. The analysis proceeds as such: gapped alignments are performed and corrected for length, PCR and fragment bias so that a Fragment Per (effective) Kilobase per Million of reads (FPKM) is estimated as well as the simpler Reads Per Kb per Million of reads (RPKM). When provided with multiple isoforms and in the ‘contextual’ mode, corrections include a expectation maximization algorithm...
    Downloads: 0 This Week
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  • 11
    FSA is a probabilistic multiple sequence alignment algorithm which uses a "distance-based" approach to aligning homologous protein, RNA or DNA sequences.
    Downloads: 4 This Week
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  • 12

    hrefinder

    Detection of homologous recombination events from SNP data

    This software detects homologous recombination events (HREs) from SNP data. Based on SNP alleles calls and locations, it breaks the genomes into locally colinear blocks, and looks for cases where SNPs do not agree with the vertical pattern of inheritance in a phylogeny. It applies a dynamic programming algorithm to model whether changes within a block are likely a result of mutations, sequencing errors, or HRE. We use information from the nearby SNPs, so that if 1-2 alleles in a series of SNPs...
    Downloads: 0 This Week
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  • 13

    segment

    Solve the Viterbi algorithm in a data stream

    It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data.
    Downloads: 1 This Week
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  • 14

    smooth

    Wavelet smoothing in a data stream

    It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm. This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington. http://noble.gs.washington.edu/proj/hmmseg...
    Downloads: 1 This Week
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  • 15
    Algorithm Based Automatic Contiguation of Assembled sequences (ABACAS) is an integrated platform for quickly contiguating reference based assemblies.
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    Downloads: 5 This Week
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  • 16
    CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74
    Downloads: 1 This Week
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  • 17
    ChIPOTle is a peak-finding algorithm used to analyze ChIP-chip microarray data
    Downloads: 0 This Week
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  • 18
    A novel algorithm to layout the contigs with more than one reference genomes at a time using global searches
    Downloads: 1 This Week
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  • 19
    Basic implementation of K-nearest neighbour Algorithm and the application of KNN to classify protein sequences as transmembrane beta barrel or non-transmembrane beta barrel on the basis of whole sequence amino acid composition given as input.
    Downloads: 0 This Week
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  • 20

    biojazz

    In silico evolution of biochemical networks.

    In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model.
    Downloads: 0 This Week
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