Robust adjustment of sequence tag abundance
نویسندگان
چکیده
منابع مشابه
Robust adjustment of sequence tag abundance
MOTIVATION The majority of next-generation sequencing technologies effectively sample small amounts of DNA or RNA that are amplified (i.e. copied) before sequencing. The amplification process is not perfect, leading to extreme bias in sequenced read counts. We present a novel procedure to account for amplification bias and demonstrate its effectiveness in mitigating gene length dependence when ...
متن کاملRobust Bundle Adjustment Revisited
In this work we address robust estimation in the bundle adjustment procedure. Typically, bundle adjustment is not solved via a generic optimization algorithm, but usually cast as a nonlinear leastsquares problem instance. In order to handle gross outliers in bundle adjustment the least-squares formulation must be robustified. We investigate several approaches to make least-squares objectives ro...
متن کاملRAMTaB: Robust Alignment of Multi-Tag Bioimages
BACKGROUND In recent years, new microscopic imaging techniques have evolved to allow us to visualize several different proteins (or other biomolecules) in a visual field. Analysis of protein co-localization becomes viable because molecules can interact only when they are located close to each other. We present a novel approach to align images in a multi-tag fluorescence image stack. The propose...
متن کاملOn the Selection of Robust Tag SNPs
Recent studies have shown that the chromosome recombination only takes places at some narrow hotspots. Within segments between these hotspots, called haplotype block, little or even no recombination occurs and a small subset of SNPs, called tag SNPs, are sufficient to capture the entire block pattern. However, the tag SNP may be genotyped as missing data if it does not pass the threshold of dat...
متن کاملPan-genome isolation of low abundance transcripts using SAGE tag.
The SAGE (serial analysis of gene expression) method is sensitive at detecting the lower abundance transcripts. More than a third of human SAGE tags identified are novel representing the low abundance unknown transcripts. Using the GLGI method (generation of longer 3' EST from SAGE tag for gene identification), we converted 1009 low-copy, human X chromosome-specific SAGE tags into 10210 3' ESTs...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2013
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btt575