User: '

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'150
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Comment: C: How to analyze MALDI imaging data with open source tools?
... Currently in the same boat. The number of tools available for this purpose is overwhelming. Have you gotten around any of those that seem to be an all-in-one tool? I have also found the `rMSI` R package which seems to be promising. You should definitely add `OpenMS` to your list as well. ...
written 4 weeks ago by '150
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Comment: C: What has happened to PatScan?
... @b.nota: It is most probably time for you to stop wasting other people's time by writing irrelevant nonsense and instead use a bit of your thinking abilities. Are you too ignorant to realize that those two versions, i.e. the online and offline installable one, serve entirely different purposes/envir ...
written 8 weeks ago by '150
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Is PatScan RNA pattern searcher no longer available as an online webtool?
... The PatScan pattern searcher is no longer available online.. Have they completely stopped maintaining the software as an online tool? It used to be available through this address: http://www-unix.mcs.anl.gov/compbio/PatScan/HTML/scanner.html But all is found at the moment is an installable Unix do ...
patscan rna rna pattern written 8 weeks ago by '150 • updated 8 weeks ago by Istvan Albert ♦♦ 73k
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Answer: A: Comparing contigs results from two different assembler
... I ended up using progressiveMauve, MUMmer (specifically MUMmerplots), QUAST, and clc_sequence_info (from CLC Genomics Workbench) altogether and I could come to some conclusions based on the results of all these methods. ...
written 9 months ago by '150
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How relevant, valuable, and important is Information Visualization nowadays in Bioinformatics?
... I find Information Visualization extremely interesting, and it was through a PhD-level course I took during my Master's studies that I came to realize how many terrible plots any scientific journal/article contains on a regular basis. I can clearly see that there is a potential for a vast number of ...
information visualization infovis job written 9 months ago by '150 • updated 9 months ago by Carlo Yague3.1k
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Non-Bioinformatics Jobs with a Bioinformatics Degree
... What are some non-Bioinformatics jobs one can easily get/apply for with a degree in Bioinformatics? I have heard from some people that jobs that require statisticians and data analysts (even in the economic market) usually do not have problems with taking in Bioinformaticians. How true is this? And ...
job written 9 months ago by '150 • updated 9 months ago by genomax32k
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Comment: C: Solving ODE Using Derivative with Respect to Time in R -- Drug Response Modellin
... Each equation is for a different cell. Therefore, m[1], m[2], m[3], and m[4] all have different steady states. ...
written 14 months ago by '150
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Answer: A: How to model transcriptional networks from gene expression time-course data
... I was finally successful to do this using both of the following approaches, I found the first one to be easier to work with: 1. Äijö T., Lähdesmäki H. (2009) Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics. Bioinformatics, 25, 293 ...
written 14 months ago by '150
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Comment: C: Perturbed vs. Unperturbed Models
... Thanks. So as I can see, it is not really a biological notion that has a generalized meaning everywhere! ...
written 14 months ago by '150
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Perturbed vs. Unperturbed Models
... What is the difference between perturbed and unperturbed tumor growth models? I am trying to understand this paper: http://cancerres.aacrjournals.org/cgi/pmidlookup?view=long&pmid=14871843 ...
model written 14 months ago by '150

Latest awards to '

Popular Question 4 months ago, created a question with more than 1,000 views. For Europe: Non-Paid Bioinformatics Internships/Training
Teacher 4 months ago, created an answer with at least 3 up-votes. For A: How to model transcriptional networks from gene expression time-course data
Supporter 9 months ago, voted at least 25 times.
Scholar 14 months ago, created an answer that has been accepted. For A: How to model transcriptional networks from gene expression time-course data

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