bioinfo.csse.uwa.edu.au

Bioinformatics at UWA

Study Bioinformatics at UWA. Biology easily has 500 years of exciting problems to work on." - Donald E. Knuth. School of Computer Science and Software Engineering. Bioinformatics is broadly defined as the application of computers for solving information problems in the life sciences. Bioinformatics is commonly associated with the creation and maintenance of databases for the vast amount of information coming from laboratories, for example nucleic acid and protein sequence data. However, bioinformatic...

http://bioinfo.csse.uwa.edu.au/

OVERVIEW OF bioinfo.csse.uwa.edu.au

TRAFFIC RANK

>1,000,000

REVIEWS

0

PAGES IN THIS WEBSITE

6

LINKS TO THIS WEBSITE

CONTACTS

ADDRESSES

SOCIAL LINKS

ONLINE SINCE

WEBSITE DETAILS

SEO

PAGES

SIMILAR SITES

TRAFFIC RANK FOR BIOINFO.CSSE.UWA.EDU.AU

TODAY'S RATING

>1,000,000

TRAFFIC RANK - AVERAGE PER MONTH

BEST MONTH

July

AVERAGE PER DAY Of THE WEEK

HIGHEST TRAFFIC ON

Saturday

TRAFFIC BY CITY

Sign up

CUSTOMER REVIEWS

Average Rating: 2.8 out of 5 with 6 reviews

5 star

0

4 star

3

3 star

1

2 star

0

1 star

2

Hey there! Start your review of bioinfo.csse.uwa.edu.au

AVERAGE USER RATING

Write a Review

WEBSITE PREVIEW

LOAD TIME

2.1 seconds

FAVICON PREVIEW

16x16
32x32

CONTACTS AT BIOINFO.CSSE.UWA.EDU.AU

ADD CONTACT

Login

TO VIEW CONTACTS

Remove Contacts

FOR PRIVACY ISSUES

CONTENT

PAGES IN
THIS WEBSITE

6

SSL

EXTERNAL LINKS

9

SITE IP

130.95.172.167

LOAD TIME

2.112 sec

SCORE

6.2

PAGE TITLE

Bioinformatics at UWA | bioinfo.csse.uwa.edu.au Reviews

<META> DESCRIPTION

Study Bioinformatics at UWA. Biology easily has 500 years of exciting problems to work on. - Donald E. Knuth. School of Computer Science and Software Engineering. Bioinformatics is broadly defined as the application of computers for solving information problems in the life sciences. Bioinformatics is commonly associated with the creation and maintenance of databases for the vast amount of information coming from laboratories, for example nucleic acid and protein sequence data. However, bioinformatic...

<META> KEYWORDS

1 faculty home

2 school home

3 people

4 research areas

5 student projects

6 software and servers

7 news

8 links

9 welcome to bioinformatics

10 what is bioinformatics

CONTENT

Page content here

KEYWORDS ON PAGE

faculty home,school home,people,research areas,student projects,software and servers,news,links,welcome to bioinformatics,what is bioinformatics

SERVER

Apache/2.2.15 (Red Hat)

CONTENT-TYPE

utf-8

GOOGLE PREVIEW

Bioinformatics at UWA | bioinfo.csse.uwa.edu.au Reviews

https://bioinfo.csse.uwa.edu.au

Study Bioinformatics at UWA. Biology easily has 500 years of exciting problems to work on." - Donald E. Knuth. School of Computer Science and Software Engineering. Bioinformatics is broadly defined as the application of computers for solving information problems in the life sciences. Bioinformatics is commonly associated with the creation and maintenance of databases for the vast amount of information coming from laboratories, for example nucleic acid and protein sequence data. However, bioinformatic...

INTERNAL PAGES

bioinfo.csse.uwa.edu.au

1

Bioinformatics at UWA

http://bioinfo.csse.uwa.edu.au/links.html

Study Bioinformatics at UWA. Http:/ wiki.bioinformatics.org/Wiki Main Page. Http:/ www.rnasociety.org. International Society for Computational Biology (ISCB). Http:/ www.iscb.org. Http:/ www.ncbi.nlm.nih.gov/Entrez/index.html. Http:/ www.conferencealerts.com/bioinform.htm.

2

Bioinformatics at UWA

http://bioinfo.csse.uwa.edu.au/index.html

Study Bioinformatics at UWA. Biology easily has 500 years of exciting problems to work on." - Donald E. Knuth. School of Computer Science and Software Engineering. Bioinformatics is broadly defined as the application of computers for solving information problems in the life sciences. Bioinformatics is commonly associated with the creation and maintenance of databases for the vast amount of information coming from laboratories, for example nucleic acid and protein sequence data. However, bioinformatic...

3

Bioinformatics at UWA

http://bioinfo.csse.uwa.edu.au/news.html

Study Bioinformatics at UWA. Annual Meeting of the RNA Society. June 14-19, 2011. Kyoto, Japan. Http:/ www.rnasociety.org/#RNASocEvents.

4

Bioinformatics at UWA

http://bioinfo.csse.uwa.edu.au/people.html

Study Bioinformatics at UWA. Academic staff and research students. Academic Staff and Research Students. School of Computer Science and Software Engineering. Http:/ www.csse.uwa.edu.au/ alison/epimap/. Email: alisona(at)csse.uwa.edu.au. Application of bioinformatics to epidemiology - specifically in relation to man-made chemical affects on embryonic development. Toxicogenomics - specifically in using microarray data to investigate effects of low dosage and mixtures of chemical exposures. Low complexity/n...

5

Bioinformatics at UWA

http://bioinfo.csse.uwa.edu.au/projects.html

Study Bioinformatics at UWA. A Novel Method for Building Phylogenetic Trees. Computing the Genetic Basis for the Sit-and-Wait Hypothesis of Bacterial Pathogenicity. Honours and Masters projects offered in 2010. A Novel Method for Building Phylogenetic Trees. Contact: Prof. Michael Wise. Computing the Genetic Basis for the Sit-and-Wait Hypothesis of Bacterial Pathogenicity. 1 Gene Ontology Consortium (2000) Gene Ontology: tool for the unification of biology,. 1131-36, John Wiley.

UPGRADE TO PREMIUM TO VIEW 1 MORE

TOTAL PAGES IN THIS WEBSITE

6

LINKS TO THIS WEBSITE

knotseeker.csse.uwa.edu.au

KnotSeeker - Download

http://knotseeker.csse.uwa.edu.au/download.html

Practical RNA folding including simple recursive pseudoknots. Exact matching under RNA base pairing rules. Toolbox for prediction and comparison of RNA secondary structures. Jana Sperschneider and Amitava Datta. KnotSeeker: Heuristic pseudoknot detection in long RNA sequences. RNA. 2008; 14(4): 630-40. For comments and suggestions contact janaspe(at)csse.uwa.edu.au. KnotSeeker has been implemented in Python. As the next step, download KnotSeeker.py. Version 1.3), GUUGle. If problems occur, see here.

dotknot.csse.uwa.edu.au

DotKnot - Manual

http://dotknot.csse.uwa.edu.au/manual.html

Input and Output Format. Code [DotKnot 1.3.2.tar.gz]. DotKnot uses pseudoknot loop entropy parameters published by Song Cao and Shi-Jie Chen in 2006. Sequences and structures used for evaluation in the papers. For comments, suggestions and reporting bugs please contact janaspe(at)csse.uwa.edu.au. We set the maximum sequence length limit for online submission to 1000 bases. For H-type pseudoknots and to 400 bases. Please provide a sequence ID for future reference. Paste your sequence in plain format.

dotknot.csse.uwa.edu.au

DotKnot - Pseudoknot Types

http://dotknot.csse.uwa.edu.au/pseudoknot_types.html

Input and Output Format. Code [DotKnot 1.3.2.tar.gz]. DotKnot uses pseudoknot loop entropy parameters published by Song Cao and Shi-Jie Chen in 2006. Sequences and structures used for evaluation in the papers. For comments, suggestions and reporting bugs please contact janaspe(at)csse.uwa.edu.au. DotKnot includes the class of recursive H-type pseudoknots. DotKnot uses pseudoknot loop entropy parameters published by Song Cao and Shi-Jie Chen in 2006. The user can choose whether kissing hairpins.

dotknot.csse.uwa.edu.au

DotKnot - Manual

http://dotknot.csse.uwa.edu.au/near-optimal-pseudoknots.html

Input and Output Format. Code [DotKnot 1.3.2.tar.gz]. DotKnot uses pseudoknot loop entropy parameters published by Song Cao and Shi-Jie Chen in 2006. Sequences and structures used for evaluation in the papers. For comments, suggestions and reporting bugs please contact janaspe(at)csse.uwa.edu.au. In addition to the best global. Folding, the best local. DotKnot returns the best pseudoknots in terms of estimated free energy to length ratio. The desired pseudoknot structure is found:. Position: 1 . 33.

dotknot.csse.uwa.edu.au

DotKnot - Archive

http://dotknot.csse.uwa.edu.au/archive.html

Input and Output Format. Code [DotKnot 1.3.2.tar.gz]. DotKnot uses pseudoknot loop entropy parameters published by Song Cao and Shi-Jie Chen in 2006. Sequences and structures used for evaluation in the papers. For comments, suggestions and reporting bugs please contact janaspe(at)csse.uwa.edu.au. DotKnot 1.1.tar.gz. Show the best near-optimal pseudoknots. DotKnot 1.2.tar.gz. Prediction of kissing hairpins. Show the predicted global structure. DotKnot 1.2.1.tar.gz. DotKnot 1.3.tar.gz.

dotknot.csse.uwa.edu.au

DotKnot - Pseudoknot Types

http://dotknot.csse.uwa.edu.au/references.html

Input and Output Format. Code [DotKnot 1.3.2.tar.gz]. DotKnot uses pseudoknot loop entropy parameters published by Song Cao and Shi-Jie Chen in 2006. Sequences and structures used for evaluation in the papers. For comments, suggestions and reporting bugs please contact janaspe(at)csse.uwa.edu.au. If you find DotKnot useful for your research, please cite:. J Sperschneider and A. Datta. DotKnot: pseudoknot prediction using the probability dot plot under a refined energy model. 2010; 38(7): e103.

knotseeker.csse.uwa.edu.au

KnotSeeker - Manual

http://knotseeker.csse.uwa.edu.au/manual.html

Practical RNA folding including simple recursive pseudoknots. Exact matching under RNA base pairing rules. Toolbox for prediction and comparison of RNA secondary structures. Jana Sperschneider and Amitava Datta. KnotSeeker: Heuristic pseudoknot detection in long RNA sequences. RNA. 2008; 14(4): 630-40. For comments and suggestions contact janaspe(at)csse.uwa.edu.au. We set the maximum sequence length limit to 1000 bases. RNA Sequence (plain format):. Position: 8 . 34. For visualization of RNA secondary s...

UPGRADE TO PREMIUM TO VIEW 2 MORE

TOTAL LINKS TO THIS WEBSITE

9

OTHER SITES

bioinfo.cs.rice.edu

CS Bioinformatics Group

Skip to main content. The Bioinformatics Group at Rice University. S Department of Computer Science. Is led by Dr. Luay Nakhleh. And conducts research into developing methodologies, implementing software tools and conducting analyses- all aimed at answering and enabling research into biological questions. Read more about About. And Danang Probo Sayekti.

bioinfo.cs.technion.ac.il

Technion - Laboratory of Computational Biology

Computational Biology is a fast growing field of Computer Science, synthesizing both the information and biological sciences. Its emergence as an independent field was driven by the development, in the late 1970s, of efficient experimental techniques in molecular biology and by the resulting exponential growth in genomic data.

bioinfo.cs.uni.edu

ProMatch Web Server for Protein Structure Comparison

This is a work in progress. We are adding new and important features, such as the structure alignment visualization option. Thank you for your patience! Upload two protein files in PDB format (.pdb) and specify the protein chains you would like to compare. The result of structural comparison, in the form of an XML formatted alignment. Will be sent to you as an email attachment.

bioinfo.csie.ncu.edu.tw

RNALogo

A new approach to display structural RNA alignment. TH Chang, J.T. Horng, and H.D. Huang. (2008) "RNALogo: a new approach to display structural RNA alignment", Nucleic Acids Research, v.36 W91-6. [PubMed]. For Rfam RNA families is also built. Users can browse RNALogo graphs in this gallery to obtain further perspectives of known RNA families. 9658;Examples in the Gallery of RNALogo :. Department of Computer Science and Information Engineering. National Central University, Tao-yuan, Taiwan.

bioinfo.csie.nfu.edu.tw

黃建宏老師生物資訊研究

MiRNA , CPG and Promoter. How to use GNS. How to use the MCODE. How To Use Gene Ontology. How to use RNAFold. MiRanda Java Interface v1.0的使用說明. Protein Complex Prediction Service. How to use NCBI Batch Entrez. How to use GEO. How to use Array Express. How to use BOND. How to use Coach. How to use CORUM-GO-BOND. How to use OMIM. Enrichment analysis using C-finder. Enrichment analysis using C-map. Enrichment analysis using CPDB. Enrichment analysis using DAVID. How to use Cmap. How to use DrugBank.

bioinfo.csse.uwa.edu.au

Bioinformatics at UWA

Study Bioinformatics at UWA. Biology easily has 500 years of exciting problems to work on." - Donald E. Knuth. School of Computer Science and Software Engineering. Bioinformatics is broadly defined as the application of computers for solving information problems in the life sciences. Bioinformatics is commonly associated with the creation and maintenance of databases for the vast amount of information coming from laboratories, for example nucleic acid and protein sequence data. However, bioinformatic...

bioinfo.curie.fr

U900 Institut Curie - INSERM/Mines ParisTech "Bioinformatics and Computational Systems Biology of Cancer"

U900 Institut Curie - INSERM/Mines ParisTech. Bioinformatics and Computational Systems Biology of Cancer". The web site of the U900 has been relocated. Please access the following sites for information about U900:. General description and information about U900. The activities of the computational systems biology of cancer group in U900. Software developed by the U900 platform and research groups at Institut Curie (as of 2011). Web site of U900 Bioinformatics platform (internal access only).

bioinfo.cz

Vítejte na www.bioinfo.cz

Provozovatelem je společnost Web4ce s.r.o. Profesionální poskytovatel hostingových služeb. Phone: 420 270 005 148. Web: www.web4ce.cz. Pro další informace kontaktujte správce webu. Apache 2, PHP 5, CGI, MySQL, PostgreSQL, Cron, IMAP, POP3, SMTP. IT individuální systémová řešení. S NÁMI JSTE SILNĚJŠÍ. Web4ce 2005, helpdesk@web4ce.cz.

bioinfo.dbbm.unina.it

Le biotecnologie nell'Ateneo Federico II | Biotecnologie

Skip to main content. Università degli Studi di Napoli "Federico II". Le biotecnologie nell'Ateneo Federico II.

bioinfo.de

Bioinformation Systems e.V.

Willkommen beim Bioinformation Systems e.V. Ziele des Bioinformation Systems e.V. Wie können sie die Arbeit des Vereins unterstützen? The Bioinformation Systems e.V.-Team - Feel free to mail.

bioinfo.ebc.ee

Department of Bioinformatics | University of Tartu & Estonian Biocentre

University of Tartu and Estonian Biocentre. Skip to primary content. Skip to secondary content. Andmed ja tarkvara allalaadimiseks. Bioinformaatika õppetool on Tartu Ülikooli molekulaar- ja rakubioloogia instituudi üks kümnest õppetoolist. Õppetooli juhataja on professor Maido Remm. Käesolev leht on suunatud:. Kes soovivad meiega koostööd teha. Teadlastele ja üliõpilastele, kes soovivad kasutada meie töögrupi poolt väljaarendatud rakendusi. Kes tunnevad huvi bioinformaatika suuna vastu.