A deep neural network approach for learning intrinsic protein-RNA binding preferences.

Motivation: The complexes formed by binding of proteins to RNAs play key roles in many biological processes, such as splicing, gene expression regulation, translation and viral replication. Understanding protein-RNA binding may thus provide important insights to the functionality and dynamics of many cellular processes. This has sparked substantial interest in exploring protein-RNA binding experimentally, and predicting it computationally.

Inadvertent corneal pigmentation following cosmetic blepharopigmentation.

Purpose: To present a case of inadvertent corneal pigmentation as a complication of cosmetic eyelid tattooing.

Observations: A 63 year old woman presented with left eye redness and irritation 3 days after undergoing permanent eyeliner tattooing of her upper and lower eyelids. On ocular examination a black pigmentation of the nasal cornea in her left eye was observed, with associated conjunctival injection.

CRISPR Detection From Short Reads Using Partial Overlap Graphs.

Clustered regularly interspaced short palindromic repeats (CRISPR) are structured regions in bacterial and archaeal genomes, which are part of an adaptive immune system against phages. CRISPRs are important for many microbial studies and are playing an essential role in current gene editing techniques. As such, they attract substantial research interest.

High-Risk, Advanced-Stage Hodgkin Lymphoma: The Impact of Combined Escalated BEACOPP and ABVD Treatment in Patients Who Rapidly Achieve Metabolic Complete Remission on Interim FDG-PET/CT Scan.

The escalated BEACOPP (escBEACOPP) regimen improves the outcome of patients with advanced-stage Hodgkin lymphoma (HL) but is associated with cumbersome toxicity. We analyzed the survival outcome of high-risk, advanced-stage HL patients treated with response-adapted therapy. escBEACOPP was administered for 2 cycles, and after complete remission (CR) or partial remission (PR) was observed on FDG-PET/CT, treatment was de-escalated to 4 cycles of ABVD.

String graph construction using incremental hashing.

Motivation: New sequencing technologies generate larger amount of short reads data at decreasing cost. De novo sequence assembly is the problem of combining these reads back to the original genome sequence, without relying on a reference genome. This presents algorithmic and computational challenges, especially for long and repetitive genome sequences.