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TranscriptomicsDigital RNA Sequencing Minimizes Sequence-Dependent Bias and Amplification Noise with Optimized Single Molecule Barcodes
RNA-Seq is a powerful tool for transcriptome profiling, but is hampered by sequence-dependent bias and inaccuracy at low copy numbers intrinsic to exponential PCR amplification. We developed a simple strategy for mitigating these complications, allowing truly digital RNA-Seq. Following reverse tra...
ORGANISM(S): Escherichia coli str. K-12 substr. MG1655 
2012-01-07 | E-GEOD-34449 | biostudies-arrayexpress
ProteomicsChemical and Random Additive Noise Elimination (CRANE) - case_study - multicenter_dataset
The effectiveness of the novel electrospray ionisation - liquid chromatography mass spectrometry (ESI-LC-MS) data de-noising technique, CRANE, is demonstrated by denoising the MS1 and all the MS2 windows of the multicentre, data-independent acquisi-tion (DIA) MS dataset from Navarro, et al. (2016).
ORGANISM(S): Homo sapiens (Human) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) 
2021-07-26 | PXD020529 | Pride
Lc-msms Random noise Chemical noise Denoise Baseline noise Dia 
ProteomicsChemical and Random Additive Noise Elimination (CRANE) - Case Study - Matrisome Dataset
The effectiveness of the novel electrospray ionisation - liquid chromatography mass spectrometry (ESI-LC-MS) data de-noising technique, CRANE, is demonstrated by denoising the MS1 and all the MS2 windows of a matrisome, data-independent acquisi-tion (DIA) MS dataset from Krasny, et al. (2018).
ORGANISM(S): Mus musculus (Mouse) 
2021-07-26 | PXD025103 | Pride
Lc-msms Random noise Chemical noise Baseline noise Dia 
TranscriptomicsValidation of noise models for single-cell transcriptomics
Single-cell transcriptomics has recently emerged as a powerful technology to explore gene expression heterogeneity amongst single cells. Here we identify two major sources of technical variability, sampling noise and global cell-to-cell variation in sequencing efficiency. We propose noise models to ...
ORGANISM(S): Mus musculus 
2014-04-20 | E-GEOD-54695 | biostudies-arrayexpress
UnknownRandom-telegraph-noise-enabled true random number generator for hardware security.
Not available
S-EPMC7560754 | biostudies-literature
UnknownRandom noise stimulation in the treatment of patients with neurological disorders.
Not available
S-EPMC9165386 | biostudies-literature
UnknownListening to the noise: random fluctuations reveal gene network parameters.
Not available
S-EPMC2779089 | biostudies-literature
OtherHigh level and nature of transcriptional noise in yeast cells [3'READS]
“Biological noise” is defined as functionally insignificant events that occur in living cells due to imperfect fidelity of biological processes. Distinguishing between biological function and biological noise is often difficult, and experiments to measure biological noise have not been performed. He...
ORGANISM(S): Saccharomyces cerevisiae 
2023-01-05 | GSE216322 | GEO
OtherHigh level and nature of transcriptional noise in yeast cells [4tU-Seq]
“Biological noise” is defined as functionally insignificant events that occur in living cells due to imperfect fidelity of biological processes. Distinguishing between biological function and biological noise is often difficult, and experiments to measure biological noise have not been performed. He...
ORGANISM(S): Saccharomyces cerevisiae 
2023-01-05 | GSE216321 | GEO
TranscriptomicsHigh level and nature of transcriptional noise in yeast cells [5'-Seq]
“Biological noise” is defined as functionally insignificant events that occur in living cells due to imperfect fidelity of biological processes. Distinguishing between biological function and biological noise is often difficult, and experiments to measure biological noise have not been performed. He...
ORGANISM(S): Saccharomyces cerevisiae 
2023-01-05 | GSE216448 | GEO
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