Fedorova et al., 2016 - Google Patents
Atlas of cryptic genetic relatedness among 1000 human genomesFedorova et al., 2016
View HTML- Document ID
- 10615746482273878167
- Author
- Fedorova L
- Qiu S
- Dutta R
- Fedorov A
- Publication year
- Publication venue
- Genome biology and evolution
External Links
Snippet
A novel computational method for detecting identical-by-descent (IBD) chromosomal segments between sequenced genomes is presented. It utilizes the distribution patterns of v ery r are g enetic v ariants (vrGVs), which have minor allele frequencies< 0.2%. Contrary to …
- 230000002068 genetic 0 title abstract description 50
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
- G06F19/28—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
- G06F19/18—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
- G06F19/22—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
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30312—Storage and indexing structures; Management thereof
- G06F17/30321—Indexing structures
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- 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
- 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
- G06F19/12—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
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
-
- 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
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Waples et al. | Allele frequency‐free inference of close familial relationships from genotypes or low‐depth sequencing data | |
| Vorontsov et al. | HOCOMOCO in 2024: a rebuild of the curated collection of binding models for human and mouse transcription factors | |
| Porubsky et al. | Dense and accurate whole-chromosome haplotyping of individual genomes | |
| Basu et al. | Genomic reconstruction of the history of extant populations of India reveals five distinct ancestral components and a complex structure | |
| Kloss‐Brandstätter et al. | HaploGrep: a fast and reliable algorithm for automatic classification of mitochondrial DNA haplogroups | |
| Gawad et al. | Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics | |
| Meisner et al. | Testing for Hardy–Weinberg equilibrium in structured populations using genotype or low‐depth next generation sequencing data | |
| Xie et al. | Detecting genome-wide epistases based on the clustering of relatively frequent items | |
| Barbujani et al. | Nine things to remember about human genome diversity | |
| Cooper et al. | The Human Gene Mutation Database (HGMD) and its exploitation in the study of mutational mechanisms | |
| Gao et al. | Human population structure detection via multilocus genotype clustering | |
| Asimit et al. | Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases | |
| Schumer et al. | Versatile simulations of admixture and accurate local ancestry inference with mixnmatch and ancestryinfer | |
| Wall et al. | Genetic variation in Native Americans, inferred from Latino SNP and resequencing data | |
| Ronald et al. | Genome-wide scans for loci under selection in humans | |
| Al-Khudhair et al. | Inference of distant genetic relations in humans using “1000 genomes” | |
| Fedorova et al. | Atlas of cryptic genetic relatedness among 1000 human genomes | |
| Wegener et al. | Hybridization and rapid differentiation after secondary contact between the native green anole (Anolis carolinensis) and the introduced green anole (Anolis porcatus) | |
| Zhang et al. | Adjusting for population stratification in a fine scale with principal components and sequencing data | |
| Farleigh et al. | The effects of climate and demographic history in shaping genomic variation across populations of the Desert Horned Lizard (Phrynosoma platyrhinos) | |
| Lee et al. | Prioritizing disease‐linked variants, genes, and pathways with an interactive whole‐genome analysis pipeline | |
| Pemberton et al. | Impact of restricted marital practices on genetic variation in an endogamous Gujarati group | |
| Niroula et al. | Classification of amino acid substitutions in mismatch repair proteins using PON‐MMR2 | |
| Glusman et al. | Ultrafast comparison of personal genomes via precomputed genome fingerprints | |
| Marchi et al. | Demogenomic inference from spatially and temporally heterogeneous samples |