Assembling peptides identified from tandemmass spectra into a list of proteins, referred to as protein inference, is a critical step in proteomics research.Due to the existence of degenerate peptides and ‘one-hit wonders’, it is very dif-ficult to determine which proteins are present in the sample. In this paper, we review existing protein inference methods and classify them according to the source of peptide identifications and the principle of algorithms. It is hoped that the readers will gain a good understanding of the current development in this field after reading this review and come up with new protein inference algorithms
AbstractShotgun proteomics generates valuable information from large-scale and target protein charac...
The protein inference problem represents a major challenge in shotgun proteomics. In this article, w...
Shotgun proteomics generates valuable information from large-scale and target protein characterizati...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
A major challenge in shotgun proteomics has been the assignment of identified peptides to the protei...
A feedback framework for protein inference with peptides identified from tandemmass spectra Jinhong ...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
A major challenge in shotgun proteomics has been the assignment of identified peptides to the protei...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired resul...
In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired resul...
In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired resul...
A natural way to benchmark the performance of an analytical experimental setup is to use samples of ...
Abstract Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes ...
AbstractShotgun proteomics generates valuable information from large-scale and target protein charac...
The protein inference problem represents a major challenge in shotgun proteomics. In this article, w...
Shotgun proteomics generates valuable information from large-scale and target protein characterizati...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
A major challenge in shotgun proteomics has been the assignment of identified peptides to the protei...
A feedback framework for protein inference with peptides identified from tandemmass spectra Jinhong ...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
A major challenge in shotgun proteomics has been the assignment of identified peptides to the protei...
Determining the list of proteins present in a sample, based on the list of identified peptides, is a...
In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired resul...
In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired resul...
In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired resul...
A natural way to benchmark the performance of an analytical experimental setup is to use samples of ...
Abstract Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes ...
AbstractShotgun proteomics generates valuable information from large-scale and target protein charac...
The protein inference problem represents a major challenge in shotgun proteomics. In this article, w...
Shotgun proteomics generates valuable information from large-scale and target protein characterizati...