Search Results for "apache log file"

...This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. HSRA currently supports single-end and paired-end read alignments from FASTQ/FASTA datasets. Moreover, our tool uses the Hadoop Sequence Parser (HSP) library (link above) to efficiently read the input datasets stored on the Hadoop Distributed File System (HDFS), being able to process datasets compressed with Gzip and BZip2 codecs.

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,...

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.

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.

Open Source project for the development of the IEEE 11073-20601 reference implementation.

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.

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.

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