BOL

A Powerful New Way to Edit DNA

As per bioinformatician DNA is partially scripted ;) You dont believe in it. Please have a look at image carefully:)

http://www.ub.edu/dnasp/ - DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly...

We are two groups of scientists doing frontier research in quantitative biology and biomedicine. The Bienko group is interested in exploring the fundamental design principles controlling how DNA is packed in the eukaryotic nucleus and its relation...

github.com - SMASH is a completely alignment-free method to find and visualise rearrangements between pairs of DNA sequences. The detection is based on relative compression, namely using a FCM, also known as Markov model, of high context order (typically...

molevol.cmima.csic.es - Gblocks eliminates poorly aligned positions and divergent regions of a DNA or protein alignment so that it becomes more suitable for phylogenetic analysis. This server implements the most important features of the Gblocks program to make its...

www.softberry.com - FGENESH is the fastest (50-100 times faster than GenScan) and most accurate gene finder available - see the figure and the table below. In recent rice genome sequencing projects, it was cited "the most successful (gene finding) program (Yu et...

bmbl.sdstate.edu - DMINDA (DNA motif identification and analyses) is an integrated web server for DNA motif identification and analyses More at http://bmbl.sdstate.edu/DMINDA2/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/

help.rc.ufl.edu - More at https://help.rc.ufl.edu/doc/Kmer This also includes: A2Amapper: ATAC, Assembly to Assembly Comparision tool: Comparative mapping between two genome assemblies (same species), or between two different genomes (cross...

The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity.