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Protein identification by amino acid composition, and optionally pI, Mw, species, UniProtKB keyword and calibration protein. Several constellations are available, corresponding to various amino acid analysis techniques.
Compare amino acid composition of a UniProtKB entry with some or all other UniProtKB entries. Several constellations are available, corresponding to various amino acid analysis techniques.
Multiple alignment of nucleic acid and protein sequences.
Compute the theoretical pI (isoelectric point) and Mw (molecular weight) for a list of UniProt Knowledgebase (Swiss-Prot or TrEMBL) entries or for user entered sequences
Redundancy reduction in a set of aligned or unaligned sequences
Set of bioinformatics tools, databases and courses
Tagger and fetchGWI are tools which allow searching short sequence tags against entire genomes or mRNA reference sequence databases.
Predict potential protein post-translational modifications (PTM) and find potential single amino acid substitutions in peptides. The experimentally measured peptide masses are compared with the theoretical peptides calculated from a specified Swiss-Prot/TrEMBL entry or from a user-entered sequence, and mass differences are used to better characterise the protein of interest.
Calculate the mass of an oligosaccharide structure.
Predict possible oligosaccharide structures that occur on proteins from their experimentally determined masses. The program can be used for free or derivatized oligosaccharides and for glycopeptides.
HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.
Scan several sequences or a whole genome (all ORFs) against the HAMAP families, with partial or complete annotation in UniProtKB/Swiss-Prot format.
LALIGN, from the FASTA package, finds multiple matching subsegments in two sequences, locally or globally.
C++ program for HMM models
MARA models genome-wide expression data in terms of our genome-wide annotations of regulatory sites. For a given expression data-set it infers the key transcription regulators, their sample-dependent activities, and their genome-wide targets.
keywords: Affymetrix chip analysis, animal, arthropod, Bayesian network, ChIP-seq, eukaryotic promoter, expression, expression data, fungi, genetic data analysis, genomics, graphics, HMM, human, insect, in situ hybridization, interaction, maximum likelihood, microarray, network, NGS, regulatory site, sequence analysis, sequencing, transcription factor binding site, transcription module, transcription regulation, transcription start site annotation, transcriptome analysis, vertebrate
predicting coiled-coils in protein sequences
miROrtho contains predictions of precursor miRNA genes covering many animal genomes combining evidence from sequence homology and Support Vector Machine classifiers. We provide both consistent extrapolation of already known miRBase families and novel miRNA predictions by our SVM and orthology pipeline.
Hits is a free database devoted to protein domains. It is also a collection of tools for the investigation of the relationships between protein sequences and motifs described on them. These motifs are defined by an heterogeneous collection of predictors, which currently includes regular expressions, generalized profiles and hidden Markov models.
Predict N-terminal myristoylation of proteins by neural networks. Myristoylator uses ensembles of neural networks, in order to learn to discriminate positive and negative sequences for N-myristoylation.
Predict potential cleavage sites cleaved by proteases or chemicals in a given protein sequence. PeptideCutter returns the query sequence with the possible cleavage sites mapped on it and/or a table of cleavage site positions.