Geoseq | Tool name | Geoseq |
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| URL | http://geoseq.mssm.edu |
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| Important features | Tool for simplified analysis of deep-sequencing data (public sequencing datasets) . |
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| Citations | Gurtowski J, Cancio A, Shah H, Levovitz C, George A, Homann R, Sachidanandam
R. Geoseq: a tool for dissecting deep-sequencing datasets. BMC Bioinformatics.
2010 Oct 12;11:506. PubMed PMID: 20939882; PubMed Central PMCID: PMC2972303.
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| Year of publication | 2010 |
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| Rank by usage frequency | 100 |
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| Comments | |
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| Function | EXPERIMENTAL data analysis, http://geoseq.mssm.edu, Tool for simplified analysis of deep-sequencing data (public sequencing datasets) ., Gurtowski J- Cancio A- Shah H- Levovitz C- George A- Homann R- Sachidanandam
R. Geoseq: a tool for dissecting deep-sequencing datasets. BMC Bioinformatics.
2010 Oct 12;11:506. PubMed PMID: 20939882; PubMed Central PMCID: PMC2972303.
, 2010, 100, Online, I. SPECIES SUPPORTED INCLUDE: Arabidopsis- Bombyx mori- Danio rerio- Drosophila melanogaster- Homo sapiens- Mus musculus- Rattus norvegicus- Saccharomyces cerevisae- Saccharomyces pombe II. QUERY OR INPUT DATA: 1. Select datasets based on the following filters: organism- category (ChiP seq- GENOMIC-DNA- mRNA seq- RNA seq- SRNA seq)- tissue- indexed 2. Search by keyword- category (SRA ID- text) 3. Analysis: Select run name- SNP III. OUTPUT DATA: depending on the type of analysis chosen the output depicts details on experiment name- title- organism- category- tissue- Runs- top microRNAs etc. |
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