Skip to main content

Home/ RML-Vendors/ Group items tagged statistics

Rss Feed Group items tagged

anonymous

Affymetrix - Products-Affymetrix Expression Console Software - 0 views

  •  
    "Expression Console™ software supports probe set summarization and CHP file generation for 3' expression (e.g., GeneChip® Human Genome U133 Plus 2.0 Array), gene-level (e.g., GeneChip® Human Gene 1.0 ST array) and exon-level arrays (e.g., GeneChip® Human Exon 1.0 ST Array). The Expression Console workflow provides the user with a choice of the more commonly used probe set summarization algorithms. The algorithms offered include: * MAS5 Statistical algorithm * Probe Logarithmic Intensity Error Estimation (PLIER) * Robust Multichip Analysis (RMA)"
anonymous

Agilent | GeneSpring GX Software - 0 views

  •  
    "Bring your expression data to life \nGeneSpring GX provides powerful, accessible statistical tools for fast visualization and analysis of expression and genomic structural variation data. Designed specifically for the needs of biologists, GeneSpring GX offers an interactive desktop computing environment that promotes investigation and enables understanding of microarray data within a biological context.\n\nDeveloped on avadis™ from Strand Life Sciences, GeneSpring GX is part of Agilent's GeneSpring Analysis Platform for systems-level research."
anonymous

Maq User's Manual - 0 views

  •  
    Maq is a software that builds mapping assemblies from short reads generated by the next-generation sequencing machines. It is particularly designed for Illumina-Solexa 1G Genetic Analyzer, and has preliminary functions to handle ABI SOLiD data.\n\nMaq first aligns reads to reference sequences and then calls the consensus. At the mapping stage, maq performs ungapped alignment. For single-end reads, maq is able to find all hits with up to 2 or 3 mismatches, depending on a command-line option; for paired-end reads, it always finds all paired hits with one of the two reads containing up to 1 mismatch. At the assembling stage, maq calls the consensus based on a statistical model. It calls the base which maximizes the posterior probability and calculates a phred quality at each position along the consensus. Heterozygotes are also called in this process.
1 - 4 of 4
Showing 20 items per page