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MIAPE
The Proteomics Standards Initiative (PSI) is a working group of the Human Proteome Organization. It aims to define data standards for proteomics to facilitate data comparison, exchange and verification. The Proteomics Standards Initiative focuses on the following subjects: minimum information about a proteomics experiment defines the metadata that should be provided along with a proteomics experiment. a data markup language for encoding the data, and metadata ontologies for consistent annotation and representation. Minimum information about a proteomics experiment Minimum information about a proteomics experiment (MIAPE) is a minimum information standard, created by the Proteomics Standards Initiative of the Human Proteome Organization, for reporting proteomics experiments. You can't just introduce the results of an analysis, it is intended to specify all the information necessary to interpret the experiment results unambiguously and to potentially reproduce the experiment. Wh ...
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Minimum Information About A Proteomics Experiment
The Proteomics Standards Initiative (PSI) is a working group of the Human Proteome Organization. It aims to define data standards for proteomics to facilitate data comparison, exchange and verification. The Proteomics Standards Initiative focuses on the following subjects: minimum information about a proteomics experiment defines the metadata that should be provided along with a proteomics experiment. a data markup language for encoding the data, and metadata ontologies for consistent annotation and representation. Minimum information about a proteomics experiment Minimum information about a proteomics experiment (MIAPE) is a minimum information standard, created by the Proteomics Standards Initiative of the Human Proteome Organization, for reporting proteomics experiments. You can't just introduce the results of an analysis, it is intended to specify all the information necessary to interpret the experiment results unambiguously and to potentially reproduce the experiment. W ...
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Minimum Information Standards
Minimum information standards are sets of guidelines and formats for reporting data derived by specific high-throughput methods. Their purpose is to ensure the data generated by these methods can be easily verified, analysed and interpreted by the wider scientific community. Ultimately, they facilitate the transfer of data from journal articles (unstructured data) into databases (structured data) in a form that enables data to be mined across multiple data sets. Minimal information standards are available for a vast variety of experiment types including microarray (MIAME), RNAseq ( MINSEQE), metabolomics (MSI) and proteomics (MIAPE). Minimum information standards typically have two parts. Firstly, there is a set of reporting requirements – typically presented as a table or a checklist. Secondly, there is a data format. Information about an experiment needs to be converted into the appropriate data format for it to be submitted to the relevant database. In the case of MIAME, the ...
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Minimum Information Standard
Minimum information standards are sets of guidelines and formats for reporting data derived by specific high-throughput methods. Their purpose is to ensure the data generated by these methods can be easily verified, analysed and interpreted by the wider scientific community. Ultimately, they facilitate the transfer of data from journal articles (unstructured data) into databases (structured data) in a form that enables data to be mined across multiple data sets. Minimal information standards are available for a vast variety of experiment types including microarray (MIAME), RNAseq ( MINSEQE), metabolomics (MSI) and proteomics (MIAPE). Minimum information standards typically have two parts. Firstly, there is a set of reporting requirements – typically presented as a table or a checklist. Secondly, there is a data format. Information about an experiment needs to be converted into the appropriate data format for it to be submitted to the relevant database. In the case of MIAME, t ...
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Bioinformatics Software
The list of bioinformatics software tools can be split up according to the license used: *List of proprietary bioinformatics software *List of open-source bioinformatics software Alternatively, here is a categorization according to the respective bioinformatics subfield specialized on: *Sequence analysis software **List of sequence alignment software ** List of alignment visualization software **Alignment-free sequence analysis **De novo sequence assemblers **List of gene prediction software ** List of disorder prediction software ** List of Protein subcellular localization prediction tools **List of phylogenetics software **List of phylogenetic tree visualization software ** :Metagenomics_software *Structural biology software **List of molecular graphics systems **List of protein-ligand docking software **List of RNA structure prediction software **List of software for protein model error verification **List of protein secondary structure prediction programs **List of protein struct ...
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Accuracy And Precision
Accuracy and precision are two measures of ''observational error''. ''Accuracy'' is how close a given set of measurements ( observations or readings) are to their ''true value'', while ''precision'' is how close the measurements are to each other. In other words, ''precision'' is a description of '' random errors'', a measure of statistical variability. ''Accuracy'' has two definitions: # More commonly, it is a description of only '' systematic errors'', a measure of statistical bias of a given measure of central tendency; low accuracy causes a difference between a result and a true value; ISO calls this ''trueness''. # Alternatively, ISO defines accuracy as describing a combination of both types of observational error (random and systematic), so high accuracy requires both high precision and high trueness. In the first, more common definition of "accuracy" above, the concept is independent of "precision", so a particular set of data can be said to be accurate, precise, both, ...
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Medical Diagnosis
Medical diagnosis (abbreviated Dx, Dx, or Ds) is the process of determining which disease or condition explains a person's symptoms and signs. It is most often referred to as diagnosis with the medical context being implicit. The information required for diagnosis is typically collected from a history and physical examination of the person seeking medical care. Often, one or more diagnostic procedures, such as medical tests, are also done during the process. Sometimes posthumous diagnosis is considered a kind of medical diagnosis. Diagnosis is often challenging because many signs and symptoms are nonspecific. For example, redness of the skin (erythema), by itself, is a sign of many disorders and thus does not tell the healthcare professional what is wrong. Thus differential diagnosis, in which several possible explanations are compared and contrasted, must be performed. This involves the correlation of various pieces of information followed by the recognition and differentiat ...
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Standards For Reporting Of Diagnostic Accuracy
Standard may refer to: Symbols * Colours, standards and guidons, kinds of military signs * Standard (emblem), a type of a large symbol or emblem used for identification Norms, conventions or requirements * Standard (metrology), an object that bears a defined relationship to a unit of measure used for calibration of measuring devices * Standard (timber unit), an obsolete measure of timber used in trade * Breed standard (also called bench standard), in animal fancy and animal husbandry * BioCompute Standard, a standard for next generation sequencing * ''De facto'' standard, product or system with market dominance * Gold standard, a monetary system based on gold; also used metaphorically for the best of several options, against which the others are measured * Internet Standard, a specification ratified as an open standard by the Internet Engineering Task Force * Learning standards, standards applied to education content * Standard displacement, a naval term describing the weig ...
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Minimum Information About A Microarray Experiment
Minimum information about a microarray experiment (MIAME) is a standard created by the FGED Society for reporting microarray experiments. MIAME is intended to specify all the information necessary to interpret the results of the experiment unambiguously and to potentially reproduce the experiment. While the standard defines the content required for compliant reports, it does not specify the format in which this data should be presented. MIAME describes the minimum information required to ensure that microarray data can be easily interpreted and that results derived from its analysis can be independently verified. There are a number of file formats used to represent this data, as well as both public and subscription-based repositories for such experiments. Additionally, software exists to aid the preparation of MIAME-compliant reports. MIAME revolves around six key components: raw data, normalized data, sample annotations, experimental design The design of experiments (D ...
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MGED Society
The Functional GEnomics Data Society (FGED) (formerly known as the MGED Society) was a non-profit, volunteer-run international organization of biologists, computer scientists, and data analysts that aims to facilitate biological and biomedical discovery through data integration. The approach of FGED was to promote the sharing of basic research data generated primarily via high-throughput technologies that generate large data sets within the domain of functional genomics. Members of the FGED Society worked with other organizations to support the effective sharing and reproducibility of functional genomics data; facilitate the creation of standards and software tools that leverage the standards; and promote the sharing of high quality, well annotated data within the life sciences and biomedical communities. Founded in 1999 as the "Microarray Gene Expression Data (MGED) Society", this organization changed its name to the "Functional Genomics Data Society" in 2010 to reflect th ...
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Microarrays
A microarray is a multiplex lab-on-a-chip. Its purpose is to simultaneously detect the expression of thousands of genes from a sample (e.g. from a tissue). It is a two-dimensional array on a solid substrate—usually a glass slide or silicon thin-film cell—that assays (tests) large amounts of biological material using high-throughput screening miniaturized, multiplexed and parallel processing and detection methods. The concept and methodology of microarrays was first introduced and illustrated in antibody microarrays (also referred to as antibody matrix) by Tse Wen Chang in 1983 in a scientific publication and a series of patents. The "gene chip" industry started to grow significantly after the 1995 ''Science Magazine'' article by the Ron Davis and Pat Brown labs at Stanford University. With the establishment of companies, such as Affymetrix, Agilent, Applied Microarrays, Arrayjet, Illumina, and others, the technology of DNA microarrays has become the most sophisticated and ...
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