7 bioinformatics secrets every biologist should know
see this lecture in youtube!
I am already using some of the stuff mentioned in here. I might even add a few more to the list.. but it seems like a cool lecture for biologists.
http://www.mozilla.org/
http://biobar.mozdev.org/
http://www.google.com/intl/en/options/
https://addons.mozilla.org/en-US/firefox/addon/748
http://www.ihop-net.org/UniPub/iHOP/
http://bioinfo.icapture.ubc.ca/iHOPerator/
http://gaggle.systemsbiology.org/docs/
http://apropos.mcw.edu/
http://string.embl.de/
consolidated links list from computational biology blog
De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer.
Chanced upon this interesting paper!
De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer.
Geneva University Hospitals;
Novel high-throughput DNA sequencing technologies allow researchers to characterize a bacterial genome during a single experiment and at a moderate cost. However, the increase in sequencing throughput that is allowed by using such platforms is obtained at the expense of individual sequence read length, which must be assembled into longer contigs to be exploitable. This study focuses on the Illumina sequencing platform that produces millions of very short sequences that are 35 bases in length. We propose a de novo assembler software that is dedicated to process such data. Based on a classical overlap graph representation and on the detection of potentially spurious reads, our software generates a set of accurate contigs of several kilobases that cover most of the bacterial genome. The assembly results were validated by comparing datasets that were obtained experimentally for Staphylococcus aureus strain MW2 and Helicobacter acinonychis strain Sheeba with that of their published genomes acquired by conventional sequencing of 1.5 – 3.0 kb fragments. We also provide indications that the broad coverage achieved by high throughput sequencing might allow for the detection of clonal polymorphisms in the set of DNA molecules being sequenced.
PMID: 18332092 [PubMed - as supplied by publisher]
Consolidated quotes on junk DNA aka Non coding sequences
check out this compilation of quotes on the genomicron blog
here’s a snapshot dated today his post will be updated. Go back to his post for updates!
To facilitate access to the series of posts on what has been said in the literature about noncoding DNA and its potential functions, I will maintain an updated list here.
- Quotes of interest — junk DNA and selfish DNA
- Quotes of interest — 1980s edition (part one)
- Quotes of interest — 1980s edition (part two)
- Quotes of interest — long neglected, some noncoding DNA is actually functional
- Quotes of interest — Nobel Prize special edition
- Quotes of interest — pseudogene
- Quotes of interest — science news stories
- Quotes of interest — satellite DNA
- Quotes of interest — Ohno (1973) and discussion
- Quotes of interest — Alu
- Quotes of interest — 1970s edition (part one)
- Quotes of interest — beware single citations and non-citations
- Quotes of interest — SINEs and LINEs
- Quotes of interest — satellite DNA in the news
Rename Multiple Files Efficiently Using Excel or Google Docs
batch renaming is what I picked up perl for in the first place. Then I found interesting software like 14arename (win only). I then also picked up abit of SED and AWK in linux.
I know about the batch rename feature in winxp but it didn’t occur to me I could do it in excel. Basically this page teaches you to use
“use SUBSTITUTE to change specific text in the filenames, use CONCATENATE() with DATE() if you want to add date to the filename, etc.” to create a column of rename commands in DOS. something like
ren abcd.fa abcd.gbk
very old school i know but hey its a godsend in your colleagues windows box with no admin rights to install anything.
Supramap a tool to map evol trees onto a globe
interesting note to self should explore this one day..
http://supramap.osu.edu/supramap/index.php?page=theory — Geographic mapping of evolutionary trees projected into a virtual globe allows users to analyze the spread of the organismal lineages into areas of interest. When all these data are integrated, we can visualize patterns in or to develop and test hypotheses. For example, we have used supramap to combine phylogenetic and virtual globe technologies to pinpoint which strains of a virus are infecting which hosts in specific areas (Janies et al., 2007). Finally, because phylogenetic analysis groups like strains into lineages, information drawn from limited experimentation on one strain in a lineage can be used to predict the properties of another strain in the lineage. This transitive property of phylogenetic inference will help us predict which strains are capable of infecting humans, are pathogenic, and/or are resistant to drugs. These capabilities are valuable to the public health community to make informed decisions on where and how to allocate resources to prepare for emerging diseases.