Light et al., 2013 - Google Patents
Protein expansion is primarily due to indels in intrinsically disordered regionsLight et al., 2013
View HTML- Document ID
- 2164638900112655300
- Author
- Light S
- Sagit R
- Sachenkova O
- Ekman D
- Elofsson A
- Publication year
- Publication venue
- Molecular biology and evolution
External Links
Snippet
Proteins evolve not only through point mutations but also by insertion and deletion events, which affect the length of the protein. It is well known that such indel events most frequently occur in surface-exposed loops. However, detailed analysis of indel events in distantly …
- 108090000623 proteins and genes 0 title abstract description 124
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/16—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/14—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for phylogeny or evolution, e.g. evolutionarily conserved regions determination or phylogenetic tree construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Light et al. | Protein expansion is primarily due to indels in intrinsically disordered regions | |
Hauser et al. | MMseqs software suite for fast and deep clustering and searching of large protein sequence sets | |
Chong et al. | A multiplexed assay for exon recognition reveals that an unappreciated fraction of rare genetic variants cause large-effect splicing disruptions | |
Li et al. | SOAP2: an improved ultrafast tool for short read alignment | |
Nesvizhskii | Proteogenomics: concepts, applications and computational strategies | |
Smedley et al. | Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases | |
Sun et al. | Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts | |
Marie-Nelly et al. | High-quality genome (re) assembly using chromosomal contact data | |
Li et al. | Performance comparison and evaluation of software tools for microRNA deep-sequencing data analysis | |
Capriotti et al. | Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information | |
Huang et al. | SOAPsplice: genome-wide ab initio detection of splice junctions from RNA-Seq data | |
Grabherr et al. | Full-length transcriptome assembly from RNA-Seq data without a reference genome | |
Capriotti et al. | Bioinformatics for personal genome interpretation | |
Zhang et al. | RNA-Skim: a rapid method for RNA-Seq quantification at transcript level | |
Kehr et al. | PopIns: population-scale detection of novel sequence insertions | |
Eberhardt et al. | AntiFam: a tool to help identify spurious ORFs in protein annotation | |
Kofoed et al. | An updated collection of sequence barcoded temperature-sensitive alleles of yeast essential genes | |
Monzon et al. | Reciprocal best structure hits: using AlphaFold models to discover distant homologues | |
Pache et al. | NetAligner—a network alignment server to compare complexes, pathways and whole interactomes | |
Ma et al. | An integrated toolkit for accurate prediction and analysis of cis-regulatory motifs at a genome scale | |
Guo et al. | Progressive approach for SNP calling and haplotype assembly using single molecular sequencing data | |
Wijaya et al. | MotifVoter: a novel ensemble method for fine-grained integration of generic motif finders | |
Campos et al. | Combined use of feature engineering and machine-learning to predict essential genes in Drosophila melanogaster | |
Kaduk et al. | Improved orthology inference with Hieranoid 2 | |
Song et al. | MEANGS: an efficient seed-free tool for de novo assembling animal mitochondrial genome using whole genome NGS data |