scholarly article | Q13442814 |
P356 | DOI | 10.1021/ACS.JPROTEOME.5B00504 |
P8608 | Fatcat ID | release_jldh6verybafhmanewkdywy3am |
P932 | PMC publication ID | 4748730 |
P698 | PubMed publication ID | 26569054 |
P2093 | author name string | Alexey I Nesvizhskii | |
Avinash K Shanmugam | |||
P2860 | cites work | Ensembl 2014 | Q24567767 |
TopHat: discovering splice junctions with RNA-Seq | Q24655505 | ||
The PeptideAtlas project | Q25257813 | ||
Fast gapped-read alignment with Bowtie 2 | Q27860699 | ||
Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search | Q28211385 | ||
Proteogenomics: concepts, applications and computational strategies | Q28649850 | ||
Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses | Q29547647 | ||
TANDEM: matching proteins with tandem mass spectra | Q29615238 | ||
A guided tour of the Trans-Proteomic Pipeline | Q30497827 | ||
The CRAPome: a contaminant repository for affinity purification-mass spectrometry data | Q30660043 | ||
customProDB: an R package to generate customized protein databases from RNA-Seq data for proteomics search | Q30668844 | ||
The use of proteotypic peptide libraries for protein identification | Q30854911 | ||
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics | Q30884914 | ||
Open source system for analyzing, validating, and storing protein identification data | Q30978337 | ||
Interpretation of shotgun proteomic data: the protein inference problem | Q30993883 | ||
Data maximization by multipass analysis of protein mass spectra | Q33524863 | ||
Understanding the improved sensitivity of spectral library searching over sequence database searching in proteomics data analysis | Q33813831 | ||
iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates | Q34005153 | ||
Protein identification using customized protein sequence databases derived from RNA-Seq data | Q34079606 | ||
Utility of RNA-seq and GPMDB protein observation frequency for improving the sensitivity of protein identification by tandem MS | Q34141742 | ||
Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data | Q34157419 | ||
Computing exact p-values for a cross-correlation shotgun proteomics score function | Q34157708 | ||
A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics | Q34207316 | ||
Comet: an open-source MS/MS sequence database search tool | Q34311405 | ||
The Q Exactive HF, a Benchtop mass spectrometer with a pre-filter, high-performance quadrupole and an ultra-high-field Orbitrap analyzer | Q34635058 | ||
Combining results of multiple search engines in proteomics | Q37160902 | ||
MS-GF+ makes progress towards a universal database search tool for proteomics | Q37283260 | ||
Addressing statistical biases in nucleotide-derived protein databases for proteogenomic search strategies | Q41894428 | ||
Deep coverage of the Escherichia coli proteome enables the assessment of false discovery rates in simple proteogenomic experiments | Q42917663 | ||
Semisupervised model-based validation of peptide identifications in mass spectrometry-based proteomics. | Q51897865 | ||
Computational prediction of proteotypic peptides for quantitative proteomics. | Q51925913 | ||
P433 | issue | 12 | |
P921 | main subject | RNA sequencing | Q2542347 |
P304 | page(s) | 5169-5178 | |
P577 | publication date | 2015-11-16 | |
P1433 | published in | Journal of Proteome Research | Q3186939 |
P1476 | title | Effective Leveraging of Targeted Search Spaces for Improving Peptide Identification in Tandem Mass Spectrometry Based Proteomics | |
P478 | volume | 14 |
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