Datasets used in the paper titled "Estimating error rates for single molecule protein sequencing experiments." Each zip file contains all the data used to generate a particular figure. See also: https://github.com/marcottelab/whatpro
Long-read sequencing is rapidly evolving and reshaping the suite of opportunities for genomic analys...
Dataset for "Protein velocity and acceleration from single-cell multiomics experiments." Source data...
DNA polymerases have an innate error rate which is polymerase and DNA context specific. Historically...
Molecular sequence is experimentally derived data and can be expected to contain errors at a finite ...
This contains single-molecule tracking and dwell time analysis software and example datasets used in...
A single-molecule protein sequencer, which labels only 2 out of 20 amino acids and uses single-molec...
† both authors contributed equally Motivation: Quantitative experimental data is the critical bottle...
© 2009 Davis James McCarthyThis thesis discusses modeling, estimation and testing methods for 'digit...
Motivation: Several applications in bioinformatics, such as genome assemblers and error corrections ...
The advent of DNA and RNA sequencing has significantly revolutionized the study of genomics and mole...
Genetic sequencing has been recognized as an effective approach to accurately address biological pro...
<p>(A) shows the sequencing errors occur randomly across one read and B) shows the error rate is alm...
This repository contains the real and synthetic datasets used in the paper "Benchmarking the Autoenc...
Sample sequencing data from MAQC, mutation screening re-sequencing, ENCODE, and PhiX DNA data sets. ...
Classification based upon gene expression data: bias and precision of error rate
Long-read sequencing is rapidly evolving and reshaping the suite of opportunities for genomic analys...
Dataset for "Protein velocity and acceleration from single-cell multiomics experiments." Source data...
DNA polymerases have an innate error rate which is polymerase and DNA context specific. Historically...
Molecular sequence is experimentally derived data and can be expected to contain errors at a finite ...
This contains single-molecule tracking and dwell time analysis software and example datasets used in...
A single-molecule protein sequencer, which labels only 2 out of 20 amino acids and uses single-molec...
† both authors contributed equally Motivation: Quantitative experimental data is the critical bottle...
© 2009 Davis James McCarthyThis thesis discusses modeling, estimation and testing methods for 'digit...
Motivation: Several applications in bioinformatics, such as genome assemblers and error corrections ...
The advent of DNA and RNA sequencing has significantly revolutionized the study of genomics and mole...
Genetic sequencing has been recognized as an effective approach to accurately address biological pro...
<p>(A) shows the sequencing errors occur randomly across one read and B) shows the error rate is alm...
This repository contains the real and synthetic datasets used in the paper "Benchmarking the Autoenc...
Sample sequencing data from MAQC, mutation screening re-sequencing, ENCODE, and PhiX DNA data sets. ...
Classification based upon gene expression data: bias and precision of error rate
Long-read sequencing is rapidly evolving and reshaping the suite of opportunities for genomic analys...
Dataset for "Protein velocity and acceleration from single-cell multiomics experiments." Source data...
DNA polymerases have an innate error rate which is polymerase and DNA context specific. Historically...