Peptidomics
Peptides are biopolymers, typically consisting of 2–50 amino acids. They are biologically
produced by the cellular ribosomal machinery or by non-ribosomal enzymes and …
produced by the cellular ribosomal machinery or by non-ribosomal enzymes and …
The PRIDE database and related tools and resources in 2019: improving support for quantification data
Y Perez-Riverol, A Csordas, J Bai… - Nucleic acids …, 2019 - academic.oup.com
Abstract The PRoteomics IDEntifications (PRIDE) database (https://www. ebi. ac. uk/pride/) is
the world's largest data repository of mass spectrometry-based proteomics data, and is one …
the world's largest data repository of mass spectrometry-based proteomics data, and is one …
False discovery rate: the Achilles' heel of proteogenomics
Proteogenomics refers to the integrated analysis of the genome and proteome that
leverages mass-spectrometry (MS)-based proteomics data to improve genome annotations …
leverages mass-spectrometry (MS)-based proteomics data to improve genome annotations …
Population-scale proteome variation in human induced pluripotent stem cells
Human disease phenotypes are driven primarily by alterations in protein expression and/or
function. To date, relatively little is known about the variability of the human proteome in …
function. To date, relatively little is known about the variability of the human proteome in …
Connecting proteomics to next‐generation sequencing: proteogenomics and its current applications in biology
Understanding the relationship between genotypes and phenotypes is essential to
disentangle biological mechanisms and to unravel the molecular basis of diseases. Genes …
disentangle biological mechanisms and to unravel the molecular basis of diseases. Genes …
Computational analysis of phosphoproteomics data in multi‐omics cancer studies
Multiple types of molecular data for the same set of clinical samples are increasingly
available and may be analyzed jointly in an integrative analysis to maximize comprehensive …
available and may be analyzed jointly in an integrative analysis to maximize comprehensive …
Variant biomarker discovery using mass spectrometry-based proteogenomics
Genomic diversity plays critical roles in risk of disease pathogenesis and diagnosis. While
genomic variants—including single nucleotide variants, frameshift variants, and mis-splicing …
genomic variants—including single nucleotide variants, frameshift variants, and mis-splicing …
Computational advances in the label-free quantification of cancer proteomics data
Background: Due to its ability to provide quantitative and dynamic information on tumor
genesis and development by directly profiling protein expression, the proteomics has …
genesis and development by directly profiling protein expression, the proteomics has …
Proteogenomics 101: a primer on database search strategies
Proteogenomics refers to the integration of high-throughput genomics/transcriptomics with
proteomics data for genome annotation, novel gene discovery, and variant peptide detection …
proteomics data for genome annotation, novel gene discovery, and variant peptide detection …
A fast and quantitative method for post-translational modification and variant enabled mapping of peptides to genomes
Cross-talk between genes, transcripts, and proteins is the key to cellular responses; hence,
analysis of molecular levels as distinct entities is slowly being extended to integrative …
analysis of molecular levels as distinct entities is slowly being extended to integrative …