BOL

github.com - SNPGenie is a Perl script for estimating evolutionary parameters, mainly from pooled next-generation sequencing (NGS) single-nucleotide polymorphism (SNP) variant data. SNP reports (acceptable in a variety of formats) much each correspond to a...

github.com - AlfaPang constructs variation graphs, leveraging its alignment-free and reference-free approach, based solely on intrinsic sequence properties. This design allows AlfaPang's runtime and memory usage to scale linearly with the size of input...

marinetics.org - High throughput sequencing (HTS) technologies are being applied to a wide range of important topics in biology. However, the analyses of non-model organisms, for which little previous sequence information is available, pose specific problems. This...

In an attempt to find a good Linux reference for bioinformatician and BOL readers, I was unsuccessful at finding a decent one on the Internet. So, we decided to make a cheat sheet for biological programmers.

gehlenborglab.shinyapps.io - UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such...

Short term perl training for geneticist

NGS & Bioinformatics Summit Europe Conference 7th to 8th October 2013 Berlin, Germany Website: https://www.gtcbio.com/conference/ngseurope-overview Contact person: Kristen Starkey We welcome you to join us at GTC’s NGS...

The Bioinformatics group at Boku University has two main areas of interest, underpinning a common goal, the study of complex systems in living organisms. To overcome the engineered redundancies and combinatorial effects prevalent in higher...

At TU Dresden, Faculty of Computer Science, the DFG Research Training Group GRK 1907 “Role-based Software Infrastructures for continuous-context-sensitive Systems” offers the positions of 6 PhD Students (E 13 TV-L) for applicants interested in...

github.com - Barrnap predicts the location of ribosomal RNA genes in genomes. It supports bacteria (5S,23S,16S), archaea (5S,5.8S,23S,16S), mitochondria (12S,16S) and eukaryotes (5S,5.8S,28S,18S). It takes FASTA DNA sequence as input, and write GFF3 as output....