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Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.
Power Query was first announced in 2011 under the codename "Data Explorer" as part of Azure SQL Labs. In 2013, in order to expand on the self-service business intelligence capabilities of Microsoft Excel, the project was redesigned to be packaged as an add-in Excel and was renamed "Data Explorer Preview for Excel", [4] and was made available for Excel 2010 and Excel 2013. [5]
The first release of Power BI was based on the Microsoft Excel-based add-ins: Power Query, Power Pivot and Power View. With time, Microsoft also added many additional features like question and answers, enterprise-level data connectivity, and security options via Power BI Gateways. [10] Power BI was first released to the general public on 24 ...
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.
Scotty Performs power analysis to estimate the number of replicates and depth of sequencing required to call differential expression. Seal alignment-free algorithm to quantify sequence expression by matching kmers between raw reads and a reference transcriptome. Handles paired reads and alternate isoforms, and uses little memory.
Business performance management (BPM) (also known as corporate performance management (CPM) [2] enterprise performance management (EPM), [3] [4] organizational performance management, or performance management) is a management approach which encompasses a set of processes and analytical tools to ensure that an organization's activities and output are aligned with its goals.
This page is a subsection of the list of sequence alignment software. Multiple alignment visualization tools typically serve four purposes: Aid general understanding of large-scale DNA or protein alignments; Visualize alignments for figures and publication; Manually edit and curate automatically generated alignments; Analysis in depth
If an exact match is found, this match is used to seed a possible un-gapped alignment between the query and database sequences. Extend the exact matches to high-scoring segment pair (HSP). The original version of BLAST stretches a longer alignment between the query and the database sequence in the left and right directions, from the position ...