Measuring Illumina Size Bias Using REcount: A Novel Method for Highly Accurate Quantification of Engineered Genetic Constructs | bioRxiv
Effects of GC Bias in Next-Generation-Sequencing Data on De Novo Genome Assembly | PLOS ONE
GC Bias. (A) Schematic of two cycles of GC biased PCR. A sequence with... | Download Scientific Diagram
RNA-seq fragment sequence bias – Mike Love's blog
Identifying and mitigating bias in next-generation sequencing methods for chromatin biology | Nature Reviews Genetics
Sensitive and Low-Bias Transcriptome Sequencing Using Agarose PCR | ACS Applied Materials & Interfaces
Characterizing and measuring bias in sequence data | Genome Biology | Full Text
Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes | PNAS
Bias | RNA-Seq Blog
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks
very confused with GC bias
fragment sequence bias | RNA-Seq Blog
Are there regions in the genome that are not covered by DNA sequencing?
The 3′-bias of transcript abundance can be caused by in vitro... | Download Scientific Diagram
Characterizing and measuring bias in sequence data | Genome Biology | Full Text
Characterizing and measuring bias in sequence data | Genome Biology | Full Text
Modeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways: Cell Systems
Technical Bias Widespread in RNA-Seq Datasets | The Scientist Magazine®
PCR Bias - List of Frontiers' open access articles
Length and GC-biases during sequencing library amplification: A comparison of various polymerase-buffer systems with ancient and modern DNA sequencing libraries | BioTechniques
Library preparation methods for next-generation sequencing: tone down the bias. | Semantic Scholar
Evaluating coverage bias in next-generation sequencing of Escherichia coli | PLOS ONE
Sequence Generator Delays Bias Voltages To LCDs
Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation | Nature Biotechnology