Search Results for "data capture framework"

The OpenGEREA is a open enrichment analysis framework for gene expression regulation data analysis.

As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site. Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/) More details and documentation can be found on the...

...It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. Google group for help: http://goo.gl/zL7Nj

Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5’ ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project. MOIRAI is a compact yet flexible workflow system designed to carry out the main steps in data processing and analysis of CAGE data. ...

...A nucleotide assembly-based strategy does not fare much better since metagenomic assemblies are typically very fragmented and also leave a large fraction of reads unassembled. We present a method for reconstructing complete protein sequences directly from NGS metagenomic data. Our framework is based on a novel Short Peptide Assembler (SPA) that assembles protein sequences from their constituent peptide fragments identified on short reads. We also present a new implementation of SPA based on suffix array (SFA-SPA) which runs significantly faster than SPA. Youngik Yang, Cuncong Zhong, and Shibu Yooseph* J. ...

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.

PACLIMS (Phenotype Assay and Characterization Laboratory Information Management System) is a web-based, open source software system for tracking and data capture from high throughput mutational screens. Click on the Home Page Link above for test DB