Using a color-coded ambigraphic nucleic acid notation to visualize conserved palindromic motifs within and across genomes

Design of Synthetic Mammalian Promoters Using Highly Palindromic Subsequences

To express transgenes in specific cell types and states, promoters for endogenous genes are commonly created by truncating the sequence upstream of the transcriptional start site until the promoter is no longer functional. In this paper, we developed a method to design shorter synthetic mammalian promoters for endogenous genes by concatenating only its highly palindromic subsequences with a minimal core promoter. After developing metrics for palindromic density, analysis across all the human and mouse promoters showed higher palindromic density than expected by random. As experimental demonstrations, we applied the method to the CMV promoter (reduced to 432 nucleotides) and the mouse synapsin-1 promoter (383 nucleotides) to express fluorescent protein as reporters. Remarkably, the highly palindromic subsequences of these synthetic promoters contained sites important for strong constitutive expression and neuron-specific expression. As a resource to the community, we created enhancer sequences for all the human and mouse promoters.

The colors of our brain: an integrated approach for dimensionality reduction and explainability in fMRI through color coding (i-ECO)

Several systematic reviews have highlighted the role of multiple sources in the investigation of psychiatric illness. For what concerns fMRI, the focus of recent literature preferentially lies on three lines of research, namely: functional connectivity, network analysis and spectral analysis. Data was gathered from the UCLA Consortium for Neuropsychiatric Phenomics. The sample was composed by 130 neurotypicals, 50 participants diagnosed with Schizophrenia, 49 with Bipolar disorder and 43 with ADHD. Single fMRI scans were reduced in their dimensionality by a novel method (i-ECO) averaging results per Region of Interest and through an additive color method (RGB): local connectivity values (Regional Homogeneity), network centrality measures (Eigenvector Centrality), spectral dimensions (fractional Amplitude of Low-Frequency Fluctuations). Average images per diagnostic group were plotted and described. The discriminative power of this novel method for visualizing and analyzing fMRI results in an integrative manner was explored through the usage of convolutional neural networks. The new methodology of i-ECO showed between-groups differences that could be easily appreciated by the human eye. The precision-recall Area Under the Curve (PR-AUC) of our models was > 84.5% for each diagnostic group as evaluated on the test-set – 80/20 split. In conclusion, this study provides evidence for an integrative and easy-to-understand approach in the analysis and visualization of fMRI results. A high discriminative power for psychiatric conditions was reached. This proof-of-work study may serve to investigate further developments over more extensive datasets covering a wider range of psychiatric diagnoses.

bioSyntax: syntax highlighting for computational biology

Background

Computational biology requires the reading and comprehension of biological data files. Plain-text formats such as SAM, VCF, GTF, PDB and FASTA, often contain critical information which is obfuscated by the data structure complexity.

Results

bioSyntax (https://biosyntax.org/) is a freely available suite of biological syntax highlighting packages for vim, gedit, Sublime, VSCode, and less. bioSyntax improves the legibility of low-level biological data in the bioinformatics workspace.

Conclusion

bioSyntax supports computational scientists in parsing and comprehending their data efficiently and thus can accelerate research output.

Electronic supplementary material

The online version of this article (10.1186/s12859-018-2315-y) contains supplementary material, which is available to authorized users.