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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...

github.com - ausarg/pipesnake is a bioinformatics best-practice analysis pipeline for phylogenomic reconstruction starting from short-read 'second-generation' sequencing data. The pipeline is built using Nextflow, a workflow tool to run tasks across...

wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class...

Some five points to keep in mind for bioinformatics software/tools

Creators of software widely used in computational biology discuss the factors that contributed to their success

Integrated solutions CLCbio Genomics Workbench - de novo and reference assembly of Sanger, Roche FLX, Illumina, Helicos, and SOLiD data. Commercial next-gen-seq software that extends the CLCbio Main Workbench software. Includes SNP detection,...

pevsnerlab.kennedykrieger.org - DRAGON: Database Referencing of Array Genes Online SNOMAD: Standardization and Normalization of Microarray Data SNPduo: SNP Analysis Between Two Individuals SNPtrio: Analyzing and Visualizing and Inheritance Patterns in Trios SNPscan: Data...

github.com - HiCdat: a fast and easy-to-use Hi-C data analysis tool HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes,...

kissplice.prabi.fr - KisSplice is a software that enables to analyse RNA-seq data with or without a reference genome. It is an exact local transcriptome assembler that allows to identify SNPs, indels and alternative splicing events. It can deal with an arbitrary number...

www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Keep scrolling. Using a data set about homes, we will...