Yeastract.com Website Review


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Traffic and Value

Is yeastract.com legit?
Website Value $70
Alexa Rank 4722512
Monthly Visits 767
Daily Visits 26
Monthly Earnings $3.84
Daily Earnings $0.13
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Yeastract.com Server Location

Country: Portugal
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 38.7139
Longitude: -9.1394




Summarized Content

YEASTRACT (YEAst Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of approximately 163000 regulatory references. It also includes the description of 268 specific DNA binding sites shared among 118 characterized TFs. Further information about each Yeast gene has been extracted from the Saccharomyces Genome Database (SGD) as per the latest release, revision 37942, from Jan 14, 2017. For each gene the as*ociated Gene Ontology (GO) terms and their hierarchy in GO was obtained from the GO consortium as per the OBO flat file from May 04, 2017. Currently, YEASTRACT maintains a total of 5995 terms from GO. The nucleotide sequences of the promoter and coding regions for Yeast genes were obtained from SGD. All the information in YEASTRACT is updated regularly to match the latest data from SGD, GO consortium, RSA Tools and recent literature on yeast regulatory networks. promoter regions of co-regulated genes. DISCOVERER is based on the MUSA algorithm. These algorithms take as input a list of genes and identify over-represented motifs, which can then be compared with transcription factor binding sites described in the YEASTRACT Facilities are also provided to enable the exploitation of the gathered data when solving a number of biological questions, as exemplified in the Tutorial. YEASTRACT allows the identification of docu*ented or potential transcription regulators of a given gene and of docu*ented or potential regulons for each transcription factor. It also renders possible the comparison between DNA motifs and the transcription factor binding sites described in the literature. The system also provides a useful mechanism for grouping a list of genes (for instance a set of genes with similar expression profiles as revealed by microarray an*lysis) based on their regulatory YEASTRACT provides a set of queries to search and retrieve important biological information from the gathered data and to predict transcription regulation networks in yeast from data emerging from gene-by-gene an*lysis or global approaches.


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