Metagenomics is the study of genetic material recovered directly from environmental or clinical samples by a method called sequencing. The broad field may also be referred to as environmental genomics, ecogenomics, community genomics or microbiomics.
The Max Planck Institute for Molecular Genetics is a research institute for molecular genetics based in Berlin, Germany. It is part of the Max Planck Institute network of the Max Planck Society for the Advancement of Science.
This page provides an alphabetical list of articles and other pages about biotechnology.
The Max Planck Institute for Biology is a research institute located in Tübingen, Germany, and was formerly known as the Max Planck Institute for Developmental Biology. A predecessor institution operated under the same name from 1948 to 2004.
The Max Planck Institute for Developmental Biology Tübingen was located in Tübingen, Germany; it was founded as Max Planck Institute for Virus Research in 1954 as an offshoot of the Tübingen-based Max Planck Institute for Biology. From 1984 to 2021, it was named Max Planck Institute for Developmental Biology. The topics of scientific research conducted at the institute cover a very wide range -- from biochemistry, cell and developmental biology to evolutionary and ecological genetics, functional genomics and bioinformatics -- in order to address fundamental questions in microbial, plant and animal biology, including the interaction between different organisms.
In bioinformatics, k-mers are substrings of length contained within a biological sequence. Primarily used within the context of computational genomics and sequence analysis, in which k-mers are composed of nucleotides, k-mers are capitalized upon to assemble DNA sequences, improve heterologous gene expression, identify species in metagenomic samples, and create attenuated vaccines. Usually, the term k-mer refers to all of a sequence's subsequences of length , such that the sequence AGAT would have four monomers, three 2-mers, two 3-mers and one 4-mer (AGAT). More generally, a sequence of length will have k-mers and total possible k-mers, where is number of possible monomers.
Eugene Wimberly "Gene" Myers, Jr. is an American computer scientist and bioinformatician, who is best known for contributing to the early development of the NCBI's BLAST tool for sequence analysis.
MEGAN is a computer program that allows optimized analysis of large metagenomic datasets.
Kirsten Bomblies is an American biological researcher. Her research focuses primarily on species in the Arabidopsis genus, particularly Arabidopsis arenosa. She has studied processes related to speciation and hybrid incompatibility, and currently focuses on the adaptive evolution of meiosis in response to climate and genome change.
In the fields of molecular biology and genetics, a pan-genome is the entire set of genes from all strains within a clade. More generally, it is the union of all the genomes of a clade. The pan-genome can be broken down into a "core pangenome" that contains genes present in all individuals, a "shell pangenome" that contains genes present in two or more strains, and a "cloud pangenome" that contains genes only found in a single strain. Some authors also refer to the cloud genome as "accessory genome" containing 'dispensable' genes present in a subset of the strains and strain-specific genes. Note that the use of the term 'dispensable' has been questioned, at least in plant genomes, as accessory genes play "an important role in genome evolution and in the complex interplay between the genome and the environment". The field of study of pangenomes is called pangenomics.
Detlef Weigel is a German American scientist working at the interface of developmental and evolutionary biology.
The Earth Microbiome Project (EMP) is an initiative founded by Janet Jansson, Jack Gilbert and Rob Knight in 2010 to collect natural samples and to analyze the microbial community around the globe.
In metagenomics, binning is the process of grouping reads or contigs and assigning them to individual genome. Binning methods can be based on either compositional features or alignment (similarity), or both.
Viral metagenomics uses metagenomic technologies to detect viral genomic material from diverse environmental and clinical samples. Viruses are the most abundant biological entity and are extremely diverse; however, only a small fraction of viruses have been sequenced and only an even smaller fraction have been isolated and cultured. Sequencing viruses can be challenging because viruses lack a universally conserved marker gene so gene-based approaches are limited. Metagenomics can be used to study and analyze unculturable viruses and has been an important tool in understanding viral diversity and abundance and in the discovery of novel viruses. For example, metagenomics methods have been used to describe viruses associated with cancerous tumors and in terrestrial ecosystems.
The McClintock Prize for Plant Genetics and Genome Studies is a prize awarded in genetics and genomics. The Prize is awarded by the Maize Genetics Executive Committee, and is presented to the Prize winner each spring at the Annual Maize Genetics Conference.
The 'German Network for Bioinformatics Infrastructure – de.NBI' is a national, academic and non-profit infrastructure initiated by the Federal Ministry of Education and Research funding 2015-2021. The network provides bioinformatics services to users in life sciences research and biomedicine in Germany and Europe. The partners organize training events, courses and summer schools on tools, standards and compute services provided by de.NBI to assist researchers to more effectively exploit their data. From 2022, the network will be integrated into Forschungszentrum Jülich.
Nikos Kyrpides is a Greek-American bioscientist who has worked on the origins of life, information processing, bioinformatics, microbiology, metagenomics and microbiome data science. He is a senior staff scientist at the Berkeley National Laboratory, head of the Prokaryote Super Program and leads the Microbiome Data Science program at the US Department of Energy Joint Genome Institute.
Bloom filters are space-efficient probabilistic data structures used to test whether an element is a part of a set. Bloom filters require much less space than other data structures for representing sets, however the downside of Bloom filters is that there is a false positive rate when querying the data structure. Since multiple elements may have the same hash values for a number of hash functions, then there is a probability that querying for a non-existent element may return a positive if another element with the same hash values has been added to the Bloom filter. Assuming that the hash function has equal probability of selecting any index of the Bloom filter, the false positive rate of querying a Bloom filter is a function of the number of bits, number of hash functions and number of elements of the Bloom filter. This allows the user to manage the risk of a getting a false positive by compromising on the space benefits of the Bloom filter.
Amanda M. Hulse-Kemp is a computational biologist with the United States Department of Agriculture – Agricultural Research Service. She works in the Genomics and Bioinformatics Research Unit and is stationed on the North Carolina State University campus in Raleigh, North Carolina.
Moisés Expósito-Alonso is a Spanish scientist and assistant professor of global change biology at the University of California, Berkeley, member of the Innovative Genomics Institute, and inaugural Freeman Hrabowski Scholar from the Howard Hughes Medical Institute.. His research includes the study of plants and how climate change affects their evolution.
