Deep neural networks are everywhere. They are revolutionizing our day-to-day lives, and this phenomenon no longer needs any introduction or description. Deep learning is especially suitable to find structures in overwhelming amounts of data. Recently, biological data became exactly that – overwhelming, and application of deep learning toolsets to it indeed looks very natural. You… Read More »
Re: pythonhosted.org/omics_pipe Next Gen. data analysis requires many steps, that can be learned one by one, for example running an aligner such as bowtie, tophat or STAR, then handle the SAM/BAM file for subsequent analysis. Once the various steps are understood and if there are new analyzes do be performed routinely, it would be “nice”… Read More »
Re:alternativeto.net What software one uses may be the result of colleague recommendations, using “what others use in the lab,” or haphazardly found options online. Or perhaps it is time to “upgrade” a commercial package and the steep price makes you think twice… The crowdsources software recommendation web site alternativeto.net does just that… just enter the name… Read More »
Re: omictools.com Finding software that is relevant to any biological analysis can be inspired by reading a paper or perhaps searching within Google. The web site https://omictools.com/ contains 16,971 software (omic) tools that are organized in categories shown on the home page. Checking a bit further one can find interesting entries such as: High-throughput sequencing data analysis…… Read More »