BOL

academic.oup.com - With a large number of metagenomic datasets becoming available, eukaryotic metagenomics emerged as a new challenge. The proper classification of eukaryotic nuclear and organellar genomes is an essential step toward a better understanding of...

Applications should be addressed online to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility For further information, please contact: Dr. Pinar Alper (pinar.alper@uni.lu) Applications should be submitted online and...

gitlab.mbb.univ-montp2.fr - CroCo is a program to detect cross contamination events in assembled transcriptomes using sequencing reads to determine the true origin of every transcripts.Such cross contaminations can be expected if several RNA-Seq experiments were prepared...

github.com - chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons. USAGE: -query: sequence A in fasta format -db: sequence B in fasta format -out: output matrix -kmer Integer: k>1...

Why bioinformatician still using Perl when Python is easy to code, good in ReXp and faster than perl?

readthedocs.org - Bipype is a very useful program, which prepare a lot of types of bioinformatics analyses. There are three input options: amplicons, WGS (whole genome sequences) and metatranscriptomic data. If amplicons are input data, then bipype does...

Python Programming is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics...

Bioinformatics tools

deltarho.org - Trelliscope provides a way to flexibly visualize large, complex data in great detail from within the R statistical programming environment. Trelliscope is a component in the DeltaRho environment. For those familiar with Trellis...