Skip to main content

Home/ OpenSciInfo/ Group items tagged protein

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
Mike Chelen

Portal:Gene Wiki - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Portal:Gene_Wiki

genetics wiki wikipedia gene science biology

shared by Mike Chelen on 29 Jan 09 - Cached
  • Mike Chelen on 29 Jan 09
     
    Welcome to the Gene Wiki portal. This portal is dedicated to the goal of applying community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: * To provide a well written and informative Wikipedia article for every notable human gene * To invite participation by interested lay editors, students, professionals, and academics from around the world * To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both Please browse around the Gene Wiki, make an edit to your favorite gene page, and feel free to ask questions!
Mike Chelen

Science 2.0 - introduction and perspectives for Poland « Freelancing science - 0 views

freelancingscience.com/...on-and-perspectives-for-poland

science2.0 elearning eresearch

shared by Mike Chelen on 20 May 09 - Cached
  • transcript of Science 2.0 based on a presentation I gave on conference on open science organized in Warsaw earlier this month
  • prepared for mixed audience and focused on perspectives for Poland
  • new forms of communication between scientists
  • ...44 more annotations...
  • research become meaningful only after confronting results with the scientific community
  • peer-reviewed publication is the best communication channel we had so far
  • new communication channels complement peer-reviewed publication
  • two important attributes in which they differ from traditional models: openness and communication time
  • increased openness and shorter communication time happens already in publishing industry (via Open Access movement and experiments with alternative/shorter ways of peer-review)
  • say few words about experiments that go little or quite a lot beyond publication
  • My Experiment as an example of an important step towards openness
  • least radical idea you can find in modern Science 2.0 world
  • virtual research environment
  • focus is put on sharing scientific workflows
  • use case
  • diagram of the “methods” sections from experimental (including bioinformatics analyses) publications
  • make it easier for others to understand what we did
  • can open towards other scientists we can also open towards non-experts
  • people from all over the world compete in improving structural models of proteins
  • helps in improving protein structure prediction software and in understanding protein folding
  • combine teaching and data annotation
  • metagenome sequences in first case and chemistry spectra in the second
  • interactive visualizations of chemical structures, genomes, proteins or multidimensional data
  • communicate some difficult concepts faster
  • new approaches in conference reporting
  • report in real time from the conference
  • followed by a number of people, including even the ones that were already on the conference
  • “open notebook science” which means conducting research using publicly available, immediately updated laboratory notebook
  • The reason I did a model for Cameron’s grant was that I subscribed to his feed before
  • I didn’t subscribe to Cameron because I knew his professional profile
  • I read his blog, I commented on it and he commented on mine, etc.
  • participation in online communities
  • important part of Science 2.0 is the fact that it has human face
  • PhDs about the same time
  • first was from a major Polish institute, the second from a major European one
  • what a head of a lab both would apply to will see
  • gap we must fill, this is between current research and lectures we give today
  • access to real-time scientific conversation
  • follow current research and decide what is important to learn
  • synthetic biology
  • not all universities in world have synthetic biology courses
  • didn’t stop these students, and they plan to participate in IGEM again
  • not only scientists – there are librarians, science communicators, editors from scientific journals, people working in biotech industry
  • community of life scientists
  • even people without direct connection to science
  • diverse skills and background
  • online conference
  • interact with them and to learn from them
Mike Chelen

BioInfobank Meta Server - Submit - 0 views

meta.bioinfo.pl/submit_wizard.pl

3d protein structure

shared by Mike Chelen on 08 Dec 08 - Cached
  • Mike Chelen on 08 Dec 08
     
    The BioInfoBank Meta Server offers a gateway to well-benchmarked protein structure and function prediction methods. Structural models collected from the prediction servers are assessed using the powerful 3D-jury consensus approach.
Mike Chelen

Bioinformatics Toolkit - 0 views

toolkit.tuebingen.mpg.de

shared by Mike Chelen on 17 Dec 08 - Cached
  • Mike Chelen on 17 Dec 08
     
    The Bioinformatics Toolkit is a platform that integrates a great variety of tools for protein sequence analysis. Many tools are developed in-house, and serveral public tools are offered with extended functionality. The toolkit includes, among others: NucleotideBLAST, ProteinBLAST, PSI-BLAST, fastHMMER, HHsenser; ClustalW, MUSCLE, Mafft, ProbCons; HHrep, PCOILS, REPPER; Quick2D; HHpred, Modeller; CLANS, ANCESCON, PHYLIP; Reformat, RetrieveSeq, gi2promoter. For a short description of the tools, click the section tabs.
Mike Chelen

BioLit Project - 0 views

biolit.ucsd.edu/index.html

open access

shared by Mike Chelen on 05 Jan 09 - Cached
  • Mike Chelen on 05 Jan 09
     
    The establishment of open access literature makes it possible for knowledge to be extracted from scholarly articles and included in other resources. BioLit aims to extract database identifiers and rich meta-data from open access articles in the life sciences and integrate that information with existing biological databases. We have begun prototyping this effort using a clone of the RCSB Protein Data Bank, a database of macromolecular structures.
1 - 5 of 5
Showing 20▼ items per page