<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/38029?offset=0 https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud Thu, 20 Aug 2015 02:21:20 -0500 https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud <![CDATA[Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud]]> InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.

With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.

More at https://insidedna.me/

Address of the bookmark: https://insidedna.me/

]]> Rahul Nayak https://bioinformaticsonline.com/file/view/14221/bioinformatician-at-work Wed, 20 Aug 2014 22:20:10 -0500 https://bioinformaticsonline.com/file/view/14221/bioinformatician-at-work <![CDATA[Bioinformatician at work !!!]]> The busy life of a bioinformatician. Need many more hands to deal with additional job :)

]]> Neel https://bioinformaticsonline.com/bookmarks/view/10415/bioinformatician-stuck-in-wet-lab Tue, 06 May 2014 12:46:56 -0500 https://bioinformaticsonline.com/bookmarks/view/10415/bioinformatician-stuck-in-wet-lab <![CDATA[Bioinformatician stuck in wet-lab]]> This guide is aimed at pet bioinformaticians, and is meant to guide them towards better career development.

1. Make friends with local bioinformatics groups
2. Talk to your computing group
3. Obtain clear expectations
4. Rewrite your job description
5. Papers
6. Attend bioinformatics meetings
7. Try first, ask later

Address of the bookmark: http://biomickwatson.wordpress.com/2013/04/23/a-guide-for-the-lonely-bioinformatician/

]]> Rahul Agarwal https://bioinformaticsonline.com/fun/view/14036/introduction-to-programming-write-short-programs-that-generate-graphics-and-animation Thu, 14 Aug 2014 23:29:04 -0500 https://bioinformaticsonline.com/fun/view/14036/introduction-to-programming-write-short-programs-that-generate-graphics-and-animation <![CDATA[Introduction to programming. Write short programs that generate graphics and animation.]]> Introduction to programming. Write short programs that generate graphics and animation.

http://funprogramming.org/

]]> Ram Yash Pal https://bioinformaticsonline.com/file/view/19732/marine-bioinformatician Wed, 24 Dec 2014 05:17:27 -0600 https://bioinformaticsonline.com/file/view/19732/marine-bioinformatician <![CDATA[Marine bioinformatician ;)]]> A marine bioinformatician at work. Sorry jealous biotechnologist, this is how we work.

]]> Rahul Nayak https://bioinformaticsonline.com/pages/view/22567/rosalind-problem-solution-with-perl Tue, 09 Jun 2015 23:35:18 -0500 https://bioinformaticsonline.com/pages/view/22567/rosalind-problem-solution-with-perl <![CDATA[Rosalind Problem Solution with Perl]]> Rosalind is a platform for learning bioinformatics and programming through problem solving. Take a tour to get the hang of how Rosalind works.

Bioinformatics Textbook Track

Find more about Rosalind puzzle at http://rosalind.info/problems/list-view/?location=bioinformatics-textbook-track

I will provide solution of all the Rosalind problem with Perl for community.

Check out the right sidebar for more links ...

]]> Jit https://bioinformaticsonline.com/fun/view/23959/bioinformatics-jokes Fri, 21 Aug 2015 01:26:54 -0500 https://bioinformaticsonline.com/fun/view/23959/bioinformatics-jokes <![CDATA[Bioinformatics Jokes !!]]> Why was the Bioinformatics fired from his job?

A: He was getting too Sassy.

 

What did the bioinformatician say when he found out his team stopped using version control?

A: Y’all better Git!

 

Why did the computational biologist stay home from work?

A: He had a code!

 

Why was the bioinformatician's paper was rejected?

A: Journal thought it seemed scripted.

 

How can you tell that a Bioinformatics is working?

A: You can hear him Grunting!

 

Why bioinformatician always silence?

A: Because bioinformatician calmly whisper, “SSH”

 

Why was the bioinformatician always so sleepy?

A: He/She wasn’t given any Java.

 

Why did the program/software hanged?

A: Because genome float.

 

Why was the class upset that its parent died?

A: Because it wouldn’t be getting the inheritance!

 

Why did bioinformatician always works on the command line?

A: Because they don't want to scare you with huge amount of data!

 

Why did the bioinformatician attend the gay pride parade?

A: They supported polymorphism.

 

Why did bioinformatician prefer awk, PerlOneliner?

A: Because even computer can't handle to load the data.

 

Why don’t bioinformatician get along with others?

A: They’re too MEAN.

 

Why computational biologist are cool?

A: Because they are scripted!!

 

Why they talk $ unzip; strip; touch; finger; grep; mount; fsck; more; yes; fsck; fsck; umount; clean; sleep;

A: Ah, Ohhh, dude, these are *NIX commands

 

Did they really hack genome?

A: Yes, I guess so.

]]> Jitendra Prajapati https://bioinformaticsonline.com/bookmarks/view/26414/advanced-bash-scripting-guide Thu, 18 Feb 2016 04:50:51 -0600 https://bioinformaticsonline.com/bookmarks/view/26414/advanced-bash-scripting-guide <![CDATA[Advanced Bash-Scripting Guide]]> This tutorial assumes no previous knowledge of scripting or programming, yet progresses rapidly toward an intermediate/advanced level of instruction . . . all the while sneaking in little nuggets of UNIX® wisdom and lore. It serves as a textbook, a manual for self-study, and as a reference and source of knowledge on shell scripting techniques. The exercises and heavily-commented examples invite active reader participation, under the premise that the only way to really learn scripting is to write scripts.

This book is suitable for classroom use as a general introduction to programming concepts.

More at http://tldp.org/LDP/abs/html/

Address of the bookmark: http://tldp.org/LDP/abs/html/

]]> Jit https://bioinformaticsonline.com/bookmarks/view/27463/bpipe-a-tool-for-running-and-managing-bioinformatics-pipelines Sat, 21 May 2016 22:42:16 -0500 https://bioinformaticsonline.com/bookmarks/view/27463/bpipe-a-tool-for-running-and-managing-bioinformatics-pipelines <![CDATA[Bpipe - a tool for running and managing bioinformatics pipelines]]> Bpipe provides a platform for running big bioinformatics jobs that consist of a series of processing stages - known as 'pipelines'.

Bpipe has been published in Bioinformatics! If you use Bpipe, please cite:

Sadedin S, Pope B & Oshlack A, Bpipe: A Tool for Running and Managing Bioinformatics Pipelines, Bioinformatics

Address of the bookmark: http://docs.bpipe.org/

]]> Radha Agarkar https://bioinformaticsonline.com/bookmarks/view/30897/finestructure-v2-globetrotter Mon, 13 Feb 2017 08:40:23 -0600 https://bioinformaticsonline.com/bookmarks/view/30897/finestructure-v2-globetrotter <![CDATA[fineSTRUCTURE v2 & GLOBETROTTER]]> Software available at this site

  • FineSTRUCTURE version 2, a pipeline for running ChromoPainter and FineSTRUCTURE for population inference. A GUI is available for interpretation. Download from the Downloads page.
  • FineSTRUCTURE R scripts, a facility for exploring the results when the GUI is unavailable.
  • GLOBETROTTER, the admixture dating method based on ChromoPainter. Download from the Downloads page.
  • AdmixturePainting, A set of R tools to inmterpret the results of ADMIXTURE and STRUCTURE-like mixture models.
  • RADpainter, finestructure and ChromoPainter for RAD tag data used for non-model organisms.
  • Scripts to perform many types of conversion. Included in the main software download from the Downloads page.
What this page is This page provides information about and downloads for methodology for Chromosome Painting. It is not a facility to analyse your genome. Sorry if you were misled by the punchy name!
About Chromosome Painting Painting is an efficient way of identifying important haplotype information from dense genotype data. It describes ancestry in an efficient way suitable for a range of further analyses, including population identification and admixture dating.

Address of the bookmark: http://paintmychromosomes.com/

]]> Shruti Paniwala