Search Results for "apache log file"
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Showing 12 open source projects for "apache log file"
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miRprimer
Automatic design of primers for miR-specific RT-qPCR
miRprimer designs primers for PCR amplification of microRNAs as described (Busk (2014). A tool for design of primers for microRNA-specific quantitative RT-qPCR. BMC Bioinformatics. 15, 29) for use with the method miR-specific RT-qPCR (Cirera, S., and Busk, P.K. (2014). Quantification of miRNAs by a simple and specific qPCR method. Methods in Molecular Biology. 1182, 73-81.). The program was written in Ruby and is available as source code for developers and as an .exe file for easy use. -
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Quadric
Application for simple base-2 binary to base-4 DNA-code conversion
Quadric is an opensource file converter created by the Jomcraft Network development team. In it's core functionality this small utility can transform base-2 binary files into base-4 DNA-coded human-legible ASCII-files. -
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GNomEx
A Genomic LIMS and Data Repository
Our source code is now on GitHub: https://github.com/hci-gnomex/gnomex. Please refer to GitHub for the latest code. GNomEx is Genomic LIMS and Data Repository. It holds annotated experiments and downstream analysis and serves data tracks to popular genome browsers such as IGB, IGV, and UCSC genome browser. The LIMS handles all aspects of the experiment from order through results delivery. Experiment platforms supported include Illumina HiSeq, MiSeq, iScan, ABI Sanger sequencing,... -
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JMGF
Java implementation for the Mascot Generic File Format (MGF).
JMGF is a lightweight framework for handling MGF files. It supports reading, writing and parsing of MGF files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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JFASTA
Java implementation for the FASTA file format.
JFASTA is a lightweight framework for handling FASTA files. It supports reading, writing and parsing of single- or multi-FASTA files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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MintMCScanX
Your personal MCScanX enabled Linux
MintMCScanX is a lightweight linux virtual OS based on Mint OS xfce Rebecca. MinMCScanX comes with inbuilt installed MCScanX with all its dependencies and examples. It also harbors apache to enable developers evolve there imagination for creating custom pipelines and servers based on MCScanX. You just have to add the image file in Virtualbox and you are ready to go. -
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iMS2Flux is a command line based high-throughput processing tool set for stable isotope labelled mass spectral data targeting metabolic flux analysis. To get started simply download and unzip the iMS2Flux.zip file and follow the getting started document for your OS. Current version 7.2.1 (last updated 9/30/2014) - Completes support and correction functionality for a new user specified generic data class. See the change log for full details.
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Ferox
Ferox - Sequence Alignment with Fuzzy K-mers
Ferox is a DNA sequence alignment application that uses fuzzy k-mers to quickly and accurately align sets of sequence reads against a reference genome. Ferox can also be used to align whole genomes. The seeding mechanism used by Ferox is highly configurable, allowing custom fuzzy seeds to be created declaratively in an XML configuration file. -
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bint
Converts intensity text files to binary for fast subsetting
bint was written for the purpose of obtaining subsets of intensity data from genotyping assays. Either the X & Y intensities for creating cluster plots or Log R Ratio and B Allele Frequencies for CNV detection. Extracting the data for individual SNP/CNV markers or individual samples was slow grep/awk'ing the text files exported from the genotyping run (e.g. Illumina final report files). bint converts the text representation of the intensity float data to into a IEEE754 indexed binary file for rapid extraction of subsets of the data. ... -
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clinicalStudyTracker
Clinical study tracker tracks case study members through activities.
Developed at Medical Research Council UK to meet a common clinical trial need to track various types of clinical data. Users log dates of completed tasks against participant ID. Simple, useable, reduces lost data! Makes graphical progress reports. -
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Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It
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