Search Results for "research"

MentDB is an open-source platform driving research into next-generation AI and universal data exchange. Our architecture is built around the revolutionary Mentalese Query Language (MQL). MentDB Weak (Generalized Interoperability): A unified data layer enabling seamless data exchange and application integration (SOA, ETL, Data Quality). We eliminate data silos through a single, generalized data language.

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....

DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io

DNAA is the DNA analysis package, for analyzing next-generation post-alignment whole genome resequencing data. Specifically, DNAA is able to find structural variation, SNP and indel variants, as well as evaluating the mapping and data quality.

Arthropod Easy Capture (AEC) is an arthropod specific, open-source solution for handling specimen level host interactions. Developed in conjunction with the Plant Bugs Planetary Biodiversity, Tri-Tropic Interactions TCN, and Bee Database projects, AEC is designed for rapid, and accurate data capture, utilizing controlled vocabularies to maintain data quality. The application is Web-based, allowing for collaboration from multiple partners to a centralized, easily maintainable,...

The Functional Genomics Data Society develops standards for biological research data quality, annotation and exchange. We define minimum information specs and create software that builds on these, helping scientists annotate and share data easily.

PrepMS is a simple-to-use graphical application for MS data preprocessing, peak detection, and visual data quality assessment. PrepMS is a compiled stand-alone application. Project homepage: http://stat.tamu.edu/~yuliya/prepMS.html