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Workflow G-language Genome Analysis Environment - G... (2)

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This workflow calculates and graphs the GC skew (by default, for keto bases, with window size of 1000) of a given genome sequence identifier. Here the genome sequence in Fasta format is downloaded through the Togo Web Service with RefSeq identifier. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05

Credits: User cory (Kazuki Oshita)

Workflow G-language Genome Analysis Environment - G... (2)

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This workflow calculates and graphs the GC skew of a given genome sequence (for the entire genome, for only the coding sequences, for only the intergenic regions, and for only the third codon positions), as well as the GC content with sliding windows. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05

Credits: User cory (Kazuki Oshita)

Workflow G-language Genome Analysis Environment - G... (2)

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This workflow calculates and graphs the GC skew of a given genome sequence. Use this as a template for using more than 100 analysis programs implemented in G-language Genome Analysis Environment, which can be used in a similar manner. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05

Credits: User cory (Kazuki Oshita)

Workflow G-language Genome Analysis Environment - G... (3)

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This workflow calculates and graphs the AT skew of a given genome sequence, using options of gcskew program. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05 | Last updated: 2011-01-09

Credits: User cory (Kazuki Oshita)

Workflow G-language Genome Analysis Environment - B... (2)

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Given a numerical vector (array), this workflow calculates the maximum value (max) and its index (maxdex), minumum value (min) and its index (mindex), mean, sum, median, and standard deviation. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05

Credits: User cory (Kazuki Oshita)

Workflow G-language Genome Analysis Environment - B... (2)

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This workflow shows simple sequence manipulation functions of G-language GAE, such as random shuffling, obtaining a reverse complement, and translation of nucleotide sequences, and showing basic composition statistics for nucleotide and amino acid sequences. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05 | Last updated: 2010-04-05

Credits: User cory (Kazuki Oshita)

Workflow G-language Genome Analysis Environment - B... (2)

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Given an identifier for genome sequence (by default, genome of Mycoplasma genitalium: refseq:NC_000908) or raw sequence data in FASTA format, this workflow calculates and graphs the following properties using the G-language Genome Analysis Environment: GC skew (gcskew), cumulative GC skew (gcskew_cumulative), GC skew of coding/intergenic/GC3 (genomicskew), GC content with sliding windows (gcwin), replication origin and terminus (find_ori_ter), codon usage table (codon_usage), the Codon Adapta...

Created: 2010-04-05 | Last updated: 2010-04-05

Credits: User cory (Kazuki Oshita)

Workflow XSTAR (3)

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This is a simple workflow designed to run XSTAR with an user selected input. XSTAR is a computer program for calculating the physical conditions and emission spectra of photoionized gases. More information can be found here: - XSTAR home page: http://heasarc.nasa.gov/lheasoft/xstar/xstar.html - XSTAR on the Spinet client (Soaplab2): http://caoba.ivic.ve:8180/soaplab2-axis/

Created: 2010-04-02 | Last updated: 2011-02-27

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Workflow Select items from list (1)

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This workflow pops up a window containing an input list of strings. The user is invited to select one or more strings for downstream processing.

Created: 2010-03-30

Credits: User Peter Li

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Workflow Copasi time simulation of SBML model (1)

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Uses the synchronous Copasi time simulation web service to predict the concentrations of species over a time period. The results from Copasi are provided in SBRML format which is visualised as a graph using an R script.

Created: 2010-03-26

Credits: User Peter Li

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