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Welcome to the Zhang Lab. Our group works in the field of Computational Biology and Bioinformatics, applying computer science, mathematics and statistics to practical problems arising from the management and analysis of large-scale biological data. Our Lab is located at Beijing Institute of Genomics, Chinese Academy of Sciences.
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BIOINFO.TOWNSEND.YALE.EDU HOST
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I discovered that this domain is utilizing the Apache/2.2.22 (Unix) DAV/2 Resin/4.0.13 mod_ssl/2.2.22 OpenSSL/0.9.8r server.TITLE
Filamentous Fungal Gene Expression DatabaseDESCRIPTION
Filamentous Fungal Gene Expression DatabaseCONTENT
This site bioinfo.townsend.yale.edu states the following, "Chip-seq or RNA-seq raw data should be submitted by FTP client." Our analyzers noticed that the webpage also said " Upload files, please read FTP Upload Documentation." The Website also stated " Download files, please read Raw Data Download Documentation. FFGED publication is available at pubmed. Updates for uploading results file. Automatic online annotation for raw data file, normalized file and results file has also been changed. KEGG pathway information for several species have been integrated into the database." The website's header had Filamentous Fungal Gene Expression Database as the most important keyword. It was followed by Filamentous Fungi, Fungi, and gene expression which isn't as highly ranked as Filamentous Fungal Gene Expression Database. The next words the site used was microarray. database was also included but might not be viewed by web crawlers.MORE WEB SITES
Você ainda não se identificou. UFPR - Programa de Pós-Graduação em Bioinformática. Você ainda não se identificou.
The phenomenal amount of biological data generated by sequencing the genomes of living organisms combined with the spectacular advances in computer processing capacity have led to bio-informatics. Still a young science, bioinformatics a discipline that uses and develops software tools to extract, organize and analyze data from lifetime.
Plant Physiology and Molecular Biology. One of our goals is to provide comprehensive models and publically available computational tools integrating various levels of genomic data analysis of small RNAs. Identification of stress-related small RNAs and miRNAs in plants. Cancer-related miRNAs and their target sites.