Search Results for "normalization tool"

This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation...

To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page.

Small-angle X-ray scattering (SAXS) in solution is a common low-resolution method which can efficiently complement high-resolution information obtained by crystallography or NMR. Sample monodispersity is key to reliable SAXS data interpretation and model building. Beamline setups with inline high-performance liquid chromatography (HPLC) are particularly useful for accurate profiling of heterogeneous samples. The program DATASW performs averaging of individual data frames from HPLC-SAXS...

GAAS (Genome relative Abundance and Average Size) is a bioinformatic tool to calculate accurate community composition and average genome size in metagenomes by using BLAST, advanced parsing of hits and correction of genome length bias.

Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.

ChIPOTle 2.0 is a user friendly tool for performing peak detection in ChIP-chip signal. The tool also has functions for probe sorting, signal normalization, replication merging, and multiple correction testing in a windows interface or *nix command line.