Showing 268 open source projects for "genes"

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  • 1

    locusvu

    Tool for genomics;automates data retrieval from db;enables workflows

    LocusVu is a novel Java based software tool that accepts a list of genomic loci (positions on the chromosome) as input and automates fetching of related information (cytogenetic band, gene name, OMIM data etc.) from public databases such as the UCSC genome browser database. It then enables multiple workflows on the retrieved results, like comparing multiple datasets (comparative genomics), viewing neighboring genes for a loci from within the tool itself, or graphically representing...
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  • 2
    ScreenSifter

    ScreenSifter

    ScreenSifter is a unique tool for RNAi Screen analysis and management

    ScreenSifter can help you in managing all your RNAi screens related projects in organized fashion. ScreenSifter, to perform the sequential, user friendly, guided, and advanced statistical analyses of RNAi screening results. User can upload their raw signal intensities and will avail complete quality control of screen, hit selection, plotting of hit genes with gene ontology, comparing of replicates or comparing of channels. In addition, ScreenSifter has visualization tools to plot specific genes...
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  • 3

    MMAD

    Microarray Microdissection with Analysis of Differences (MMAD)

    We have developed a new computational tool called MMAD, which is capable of performing robust tissue micro-dissection in silico, and which can improve the detection of differentially expressed genes. MMAD software is implemented in MATLAB. The MMAD.zip file contains a brief user guide and MATLAB source code for implementation of MMAD. Developers: David A Liebner, MD Kun Huang, PhD Jeffrey D Parvin, MD, PhD
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  • 4

    Webapp

    A web interface to the SnowyOwl gene prediction pipeline

    Downloads: 1 This Week
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  • 5
    Transpositions are large-scale mutational events that occur when a block of genes moves from a region of a chromosome to another region within the same chromosome. The transposition distance problem is the minimum number of transpositions required to transform one genome into another. Recently, Bulteau, Fertin and Rusu proved that finding the transposition distance is a NP-Hard problem. Some approximation algorithm for this problem have been presented to date. Here we focus on developing...
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  • 6

    BIRF

    A Balanced Iterative Random Forest For Gene Selection From Microarray

    A balanced iterative random forest algorithm is proposed to select the most relevant genes to the disease and can be used in the classification and prediction process. Balanced iterative random forest is an embedded feature selector that follows a backward elimination approach. The base learning algorithm is random forest which is involved in the process of determining which features are removed at each step. The algorithm starts with the entire set of features in the dataset. At every...
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  • 7
    DAWGPAWS
    DAWGPAWS is a suite of command line programs written in Perl that accelerates annotation of genes and transposable elements in plant genomes by automating the process of running annotation programs and facilitating combined evidence annotation curation.
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  • 8
    DJDarwin

    DJDarwin

    A Genetic algorithm approach to creating beats.

    ... (including inactive genes, changing instruments, and more) occur randomly (or at the user's control), and the user can add her own beats to the population. The program was written by Nir Rosenfeld and Assaf Michaely.
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  • 9

    AMBIENT

    Find active modules in metabolic networks using high-throughput data

    ... consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism. For example, scores for reactions based on transcriptional data of their annotated encoding genes can be used in the network and modules of coordinated expression changes can be found. This provides an alternative to pathway/gene set enrichment analyses which is simultaneously more flexible and more specific.
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    Cyber Risk Assessment and Management Platform

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  • 10

    GenOO-HTS

    A Modern Perl Framework for High Throughput Sequencing analysis

    GenOO-HTS [jee-noo] is an open-source; object-oriented Perl framework specifically developed for the design of High Throughput Sequencing (HTS) analysis tools. The primary aim of GenOO-HTS is to make simple HTS analyses easy and complicated analyses possible. GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data. Using GenOO-HTS as a core development module reduces the overhead...
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  • 11

    HPeak

    A HMM-based algorithm for defining enriched regions from ChIP-seq data

    HPeak is a hidden Markov model-based approach that can accurately pinpoint regions to where significantly more sequence reads map. Testing on real data shows that these regions are indeed highly enriched by the right protein binding sites. Command (single-end): perl /compbio/software/HPeak3/HPeak.pl -sp HUMAN/MOUSE -format BED -t TREATMENT.inp -c CONTROL.inp -n OUTPUTPREFIX -fmin 100 -fmax 300 -r 36 -ann -wig -seq -interfiles Command (pair-end): perl /compbio/software/HPeak3/HPeak.pl -sp...
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  • 12

    COVA

    Comparison of variants and functional annotation

    It’s a variant annotation and comparison tool for next-generation sequencing. It annotates the effects of variants on genes and compares those among multiple samples, which helps to pinpoint causal variation(s) relating to phenotype.
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  • 13

    DHC-MEGE

    DNase Hypersensitivity Connectivity Motif Enrichment in GeneExpression

    What does it do? DHC-MEGE is a program designed for the identification of functional long-range cis elements such as enhancers from gene expression data. How does it work? DHC-MEGE takes a list of up- and down-regulated genes and extracts regions from a chromatin connectivity map which are predicted to physically associate with those genes. It then searches for over-represented sequence motifs and then reports instances of those motifs throughout the genome. What is the input? You need a list...
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  • 14

    CORECLUST

    CORECLUST (COnservative REgulatory CLUster STructure)

    CORECLUST uses an HMM-based technique to predict cis-regulatory modules (CRMs) given known motifs for a set of system-specific transcription factors (TFs). Given regulatory regions of orthologous and/or co-regulated genes, CORECLUST constructs a model describing conserved rules of relative location of TF binding sites (CRM structure). The constructed model may be used for the CRM prediction, as well as for the investigation of the regulatory grammar of the system of interest.
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  • 15

    GEO Profiles Search Engine

    GEO Profiles Search Engine for Housekeeping Genes

    JavaEE backend with AJAX frontend to analyze and display a statistical analysis of Housekeeping genes using GEO Profiles.
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  • 16
    CUO

    CUO

    Codon Usage Optimizer

    CUO is a GUI-based multiplatform software written in Java. It is open source and built with a user/developer-friendly structure. The main function of the software at the current development stage is to optimize genes to be transformed into the Chlamydomonas reinhardtii chloroplast genome although it can be used to optimize genes into other hosts as well. The main tool in CUO, Moptimizer, introduces a semi-automatic way of gene optimization which provides more flexibility and accuracy during...
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  • 17
    SeqHunter2

    SeqHunter2

    a stand-alone bioinformatics software for querying genome sequences

    SeqHunter2 is a stand-alone software with graphical user interface, running on Microsoft windows system. It is programmed with the following functions: 1) collect and manage local sequence databases; 2) run blast search by using a batch of sequences and with abundant output formats; 3) extract sequences by a set of IDs or coordinates; 4) generate sequences alignment; 5) edit sequence and translate nucleotide to proteins; 6) browse genome and search genes; 7) collect resource items and link...
    Downloads: 1 This Week
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  • 18

    genedne

    To identify cancer-related genes

    To identify cancer-related genes
    Downloads: 0 This Week
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  • 19
    CoNIFER

    CoNIFER

    Homepage for CoNIFER (Copy Number Inference From Exome Reads)

    CoNIFER uses exome sequencing data to find copy number variants (CNVs) and genotype the copy-number of duplicated genes.
    Downloads: 11 This Week
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  • 20

    gn2d

    To recognize the cancer genes

    To recognize the cancer genes
    Downloads: 0 This Week
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  • 21

    GeneExploration

    To identify the cancer-related genes

    This project is designed to explore cancer-related genes from gene expression data set
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  • 22
    BRIG is a cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data. Please cite the BRIG paper if BRIG is used to generate figures for publications: NF Alikhan, NK Petty, NL Ben Zakour, SA Beatson (2011) BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons, BMC Genomics, 12:402. PMID: 21824423
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    Downloads: 157 This Week
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  • 23
    Selecting differentially associated genes based on gene expression data.
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  • 24

    FASTApple

    AppleScript Utilities for Working Quickly with the FASTA File

    Written in Applescript, FASTApple is a suite of utilities for the average computational biologist that make working with FASTA files fast and easy. A basic and straightforward GUI makes choosing files a cinch. Currently three utilities are included: FASTA Concatenater combines multiple FASTA files into a single FASTA file. FASTA Gene Concatenater strings the DNA sequences of each taxon in a set of pre-aligned FASTA files with identical taxa. Specifically designed to prepare RAxML...
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  • 25

    Translate VCF

    Determine functional consequences of mutations in a vcf file

    Takes vcf file input and determines functional consequence of mutations with regard to UCSC known genes, refseq genes or ensembl genes. Will use UCSC known gene annotation by default. A correctly formatted CDS file must be used containing CDS sequences and gene table info (i.e. info from knownGene.txt for UCSC genes, refGene.txt for RefSeq or ensGene.txt for ensembl as downloaded from the UCSC downloads page [http://hgdownload.cse.ucsc.edu/downloads.html or ftp://hgdownload.cse.ucsc.edu...
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