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Wikipedia is not a soapbox for individuals to espouse their views. However, views held by politicians, writers, and others may be summarized in their biography only to the extent those views are covered by reliable sources that are independent of the control of the politician, writer, etc.
Biodata is the shortened form for biographical data. [ 1 ] The term has two usages: In South Asia , the term carries the same meaning as a résumé or curriculum vitae (CV), for the purposes of jobs , grants , and marriage . [ 1 ]
Free open source GNU GPLv2 or later EMBOSS: Suite of packages for sequencing, searching, etc. written in C: Linux, macOS, Unix, Windows [4] GPL and LGPL: Collaborative project Galaxy: Scientific workflow and data integration system Unix-like: Academic Free: Collaborative project GenePattern
The Global Biodata Coalition is an organization promoting biocuration and fostering support of research funders for the sustainability of biological data resources. [ 1 ] [ 2 ] [ 3 ] Global Core Biodata Resources (GCBRs)
Meta databases are databases of databases that collect data about data to generate new data. They are capable of merging information from different sources and making it available in a new and more convenient form, or with an emphasis on a particular disease or organism.
Biographical Information Blank (BIB) is a type of assessment that uses biodata in employee recruitment to help determine which of several candidates should be hired for a job. [1] Originally companies would take the information from their job applications forms to see what would be useful in predicting the job performance of employees. Over ...
If you have a complaint about a biography of a living person, and you wish to contact the Wikimedia Foundation, see contact us.. Editors must take particular care when adding information about living persons to any Wikipedia page, including but not limited to articles, talk pages, project pages, and drafts.
Biological data works closely with bioinformatics, which is a recent discipline focusing on addressing the need to analyze and interpret vast amounts of genomic data.. In the past few decades, leaps in genomic research have led to massive amounts of biological data.