With bioinformatics you can explore molecular biology using information technology. The links to the websites in the following list focus on protein sequences. Some offer searchable databases, others help you investigate a single protein; all are helpful.
This decade has marked tremendous maturation of the field of single-cell transcriptomics. This has spurred the launch of numerous easily accessible commercial solutions, increasingly being accompanied by dedicated bioinformatics data-analysis suites. With the recent advances in microfluidics and cellular barcoding, the throughput of scRNA-seq experiments has also increased substantially. At the same time, protocols compatible with fixation and freezing have started to emerge. These developments have made scRNA-seq much better suited for biomedical research and for clinical applications. For example, the ability to study thousands of cells in a single run has greatly facilitated prospective studies of highly heterogeneous clinical samples. This can be expected to have a profound impact on both translational applications as well as our understanding of basic tissue architecture and physiology. With these increasing opportunities for single-cell transcriptome characterization, we have witnessed remarkable diversification of experimental protocols, each coming with characteristic strengths and weaknesses. Researchers therefore face decisions such as whether to prioritize cell throughput or sequencing depth, whether full-length transcript information is required, and whether protein-level or epigenomic measurements are to be performed from the same cells. Having clearly defined biological objectives and a rational experimental design are often vital for making an informed decision about the optimal approach.
Substantial resources are spent on ineffectual training, needless travel, expensive week long workshops, "bioinformatics for dummies" type of training, promoting "click-this-button" kind of solutions. Unsurprisingly, with little effect.
After waiting a decade for a solution, I have decided to write the materials that I felt were missing. This is the genesis of the Biostar Handbooks, initially a single book, now a series of volumes focusing solely on the practical aspects of bioinformatics data analysis.
The Biostar Handbooks introduce readers to bioinformatics, the scientific discipline at the intersection of biology, computer science, and statistical data analytics dedicated to the digital processing of genomic information.
The Biostar Handbooks deliver simple, concise, and relevant information for those lookingto understand the field of bioinformatics as a data science.It is a comprehensive, practical handbook that covers all majorapplication areas of bioinformatics.
I have worked and published in three distinct scientific fields: bioinformatics,computer science and statistical physics. Lately I have been working mostly incollaborations via the Bioinformatics Consulting Center. In this capacity Iadvise and meet with students from a wide range of departments.
Ten years ago I have created the Biostars: Question and Answer website thatruns on an open source software and aims to support and sustain scientificcommunities. Today it serves millions users per year, and it has become themost visited bioinformatics information resource in the world.
I serve as the director of the Bioinformatics Consulting Center (BCC) at PennState. Our center offers bioinformatics data analysis services that covermultiple application domains of high throughput sequencing. Services range fromroutine data manipulation steps to developing novel, domain specificmethodologies. Our center is also in charge of distributing and managing thesequencing data produced by the Penn State Genomics Core Sequencing Facilities. 2b1af7f3a8