Structural variationGenomic structural variation is the variation in structure of an organism's chromosome. It consists of many kinds of variation in the genome of one species, and usually includes microscopic and submicroscopic types, such as deletions, duplications, copy-number variants, insertions, inversions and translocations. Originally, a structure variation affects a sequence length about 1kb to 3Mb, which is larger than SNPs and smaller than chromosome abnormality (though the definitions have some overlap).
DNA annotationIn molecular biology and genetics, DNA annotation or genome annotation is the process of describing the structure and function of the components of a genome, by analyzing and interpreting them in order to extract their biological significance and understand the biological processes in which they participate. Among other things, it identifies the locations of genes and all the coding regions in a genome and determines what those genes do.
Genome evolutionGenome evolution is the process by which a genome changes in structure (sequence) or size over time. The study of genome evolution involves multiple fields such as structural analysis of the genome, the study of genomic parasites, gene and ancient genome duplications, polyploidy, and comparative genomics. Genome evolution is a constantly changing and evolving field due to the steadily growing number of sequenced genomes, both prokaryotic and eukaryotic, available to the scientific community and the public at large.
Variabilité du nombre de copiesLa variabilité du nombre de copies d'un gène (en anglais copy number variation, CNV) désigne en génétique une forme particulière de polymorphisme dans lequel le nombre de copies d'un même gène ou d'un segment chromosomique dans le génome est variable entre les individus de la même espèce. La présence de plusieurs copies de même gènes dans le génome est due à des événements de duplication de gènes, qui peuvent affecter un gène, quelques gènes, ou l'intégralité du génome.
Metabolic network modellingMetabolic network modelling, also known as metabolic network reconstruction or metabolic pathway analysis, allows for an in-depth insight into the molecular mechanisms of a particular organism. In particular, these models correlate the genome with molecular physiology. A reconstruction breaks down metabolic pathways (such as glycolysis and the citric acid cycle) into their respective reactions and enzymes, and analyzes them within the perspective of the entire network.
Ribosome profilingRibosome profiling, or Ribo-Seq (also named ribosome footprinting), is an adaptation of a technique developed by Joan Steitz and Marilyn Kozak almost 50 years ago that Nicholas Ingolia and Jonathan Weissman adapted to work with next generation sequencing that uses specialized messenger RNA (mRNA) sequencing to determine which mRNAs are being actively translated. A related technique that can also be used to determine which mRNAs are being actively translated is the Translating Ribosome Affinity Purification (TRAP) methodology, which was developed by Nathaniel Heintz at Rockefeller University (in collaboration with Paul Greengard and Myriam Heiman).
Bacterial genomeBacterial genomes are generally smaller and less variant in size among species when compared with genomes of eukaryotes. Bacterial genomes can range in size anywhere from about 130 kbp to over 14 Mbp. A study that included, but was not limited to, 478 bacterial genomes, concluded that as genome size increases, the number of genes increases at a disproportionately slower rate in eukaryotes than in non-eukaryotes. Thus, the proportion of non-coding DNA goes up with genome size more quickly in non-bacteria than in bacteria.
Gène chevauchantEn génétique, un gène est dit chevauchant s'il est superposé, partiellement ou totalement, à un autre gène et exprime une protéine différente de ce dernier. Il peut s'agir de séquences codantes superposées transcrites avec un décalage du cadre de lecture, de l'expression du brin d'ADN complémentaire de la région codante d'un autre gène, de gènes exprimés chacun sur un brin d'ADN complémentaire et qui ne se superposent qu'à leur extrémité 3', voire d'un gène inclus dans l'intron d'un autre gène.
ExposomeLe concept dexposome désigne le cumul des expositions à des facteurs environnementaux (c'est-à-dire non génétiques) que subit un organisme (organisme humain le cas échéant), de sa conception à sa fin de vie, en passant par le développement in utero, complétant l'effet du génome. Ces facteurs environnementaux sont externes et internes ; et ils incluent divers agents chimiques biologiquement actifs, des agents biologiques et/ou physiques (rayonnements et bruit notamment), ainsi que des «composantes psychosociales» et socio-économiques influant sur la santé.
Single-cell analysisIn the field of cellular biology, single-cell analysis is the study of genomics, transcriptomics, proteomics, metabolomics and cell–cell interactions at the single cell level. The concept of single-cell analysis originated in the 1970s. Before the discovery of heterogeneity, single-cell analysis mainly referred to the analysis or manipulation of an individual cell in a bulk population of cells at a particular condition using optical or electronic microscope.
