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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

proteins VarCon calcualtes the HEXplorer score as an estimation. Besides

protein activity from gene expression data, including the VIPER and msVIPER

protein binding sites (clusters) are then resolved at high resolution

protein-protein interaction databases and integrative resources such as KEGG

Protein-Lipid Interaction Database. A large-scale experimentally validated dataset

protein translation, codon optimization, ligation calculations, molarity calculations, dilution calculations

protein structures. Protein structures are the key to understanding protein

protein properties, Sanger ab1 traces, HGVS conversion and variant annotation

protein, deduplicated and reordered before saving. Runs entirely in the browser

protein-structure assessment, binding-site detection, molecular docking, molecular dynamics

protein sequence and NCBI taxonomy IDs (or RefSeq assembly accessions

protein, plain or FASTA. Filters features by type, handles multi

protein-RNA binding with Deep Learning | This repository contains all DeepCLIP

method for prediction of ligand binding sites from protein structure.

protein lane translates target and consensus side by side. Reads

protein structure prediction, molecular docking, protein design, molecular dynamics, sequence

Protein-protein interaction data is essential for omics data analysis

proteins. This package contains useful functions to analyze patterns of paired

protein structures by performing geometric matching of known enzyme catalytic

templates to annotate protein sequences with Gene Ontology (GO) terms.

proteins or lipids from live-cell time-lapse fluorescent imaging

protein design and predict protein fitness. It uses millions of protein

proteins using deep learning models. Users submit protein sequences in FASTA