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protein sequences using 'ggplot2'. Multiple sequence alignment can easily be combined

protein identifiers between state-of-art biological databases: CARD (<https://card.mcmaster.ca

entries and data snapshots with pairwise associations (metabolite-gene,-protein,-disease).

interface to and data from the Human Protein Atlas project.

proteins (IDPs) within R. This package is used to identify

Protein Network (IPN) integrated from several Protein protein Interaction Networks

protein domains etc.) from quantification of all types of RNA-seq (short/long

protein to interact with it. The DNA binding protein has to be described

protein and gene information can be searched for using the API. Methods

proteins, metabolites) is much larger than the number of samples

proteins from multi-omics' data (MOMA) algorithm, as well as ancillary

proteins between two biological conditions. Three tests are available: Poisson

relative protein significance analysis in DDA, SRM and DIA experiments.

protein significance analysis. Provides functions for summarization, estimation of LiP peptide

proteins, as well as the integration of the quantification results

proteins in shotgun mass spectrometry-based proteomic experiments with tandem

proteins shuttle and contact specific non-rDNA genomic loci. Deep

protein binding within regions of the transcriptome defined by the user

analysis of thermal proteome profiles reveals novel drug-binding proteins.

protein) microarray data that has been saved in gpr file

protein-protein interaction (PPI) networks in target organisms for which

Protein domains is one of the most import annoation of proteins

protein groups enable the analysis of quantitative data available for protein

detection of differentially expressed genes or proteins in these datasets.

proteins perform their functions in networks associated with other proteins

protein-protein interactions from co-elution chromatogram profiles. This package

A package for processing protein mass spectrometry data.

Significance assessment for distance measures of time-course protein profiles

protein across multiple datasets. ProteoMM provides functionality for normalization, missing

Pviz adapts the Gviz package for protein sequences and data.

matches, peptides and proteins) in a coherent and tractable format.

protein) has edges with conflicting signs for the same target

proteins that are more probably to work together to maintain

protein-RNA interaction sites, RNA modification sites (alias the epitranscriptome

protein expression, copy number, mutation, and others (Reinhold, et al., 2012). The purpose

protein. Note that for using the package, the user has to download

protein-DNA interaction or a specific chromatin modification. When replicate

protein complex assembly and (differential) protein-protein interactions across conditions

protein-DNA binding on individual sequenced DNA molecules. For example

protein. Thus, to understand the molecular mechanisms underlying genetic traits

protein information using a FASTA formatted amino acid file, and an export

protein markers. We develop a nonparametric finite mixture model and use the mixture

protein similarity, functional protein domain analysis, and domain-domain interaction

protein-protein interaction database and functional enrichment analysis tool (https://string-db.org

protein subcellular localization (Orre et al. 2019, Molecular Cell). SubCellBarCode

proteins form a major fraction of the druggable proteome and can be used

protein, ii) isolate individual synaptonemal complexes and measure their physical

Protein Atlas (HPA) (Uhlén et al. 2015), GTEx (Ardlie et al. 2015), and mouse

protein interactions from 2D thermal profiles (DLPTP), Performs an FDR-controlled

proteins in various cellular processes by leveraging preexisting gene expression