Smart Transcription

The Intelligent Voice Smart Transcript is an interactive HTML5 document that contains the audio, a speech transcription and the key topics from an audio recording. It is designed to enable a quick and efficient review of audio communications by encapsulating the recording with the speech transcript and topics within a single HTML5 file. This paper outlines the rationale for the design of the SmartTranscript user experience. The paper discusses the difficulties of audio review, how there is large potential for misinterpretation associated with reviewing transcripts in isolation, and how additional diarization and topic tagging components augment the audio review process

EXOSC10 is required for RPA assembly and controlled DNA end resection at DNA double-strand breaks

The exosome is a ribonucleolytic complex that plays important roles in RNA metabolism. Here we show that the exosome is necessary for the repair of DNA double-strand breaks (DSBs) in human cells and that RNA clearance is an essential step in homologous recombination. Transcription of DSB-flanking sequences results in the production of damage-induced long non-coding RNAs (dilncRNAs) that engage in DNA-RNA hybrid formation. Depletion of EXOSC10, an exosome catalytic subunit, leads to increased dilncRNA and DNA-RNA hybrid levels. Moreover, the targeting of the ssDNA-binding protein RPA to sites of DNA damage is impaired whereas DNA end resection is hyper-stimulated in EXOSC10-depleted cells. The DNA end resection deregulation is abolished by transcription inhibitors, and RNase H1 overexpression restores the RPA recruitment defect caused by EXOSC10 depletion, which suggests that RNA clearance of newly synthesized dilncRNAs is required for RPA recruitment, controlled DNA end resection and assembly of the homologous recombination machinery.España, Ministerio de Economía y Competitividad R + D + I project grant SAF2016-74855-P to P.

Smart headgear for display of transcribed or translated speech

Natural language translation and transcription technologies can now enable x real-time conversation between speakers of mutually unintelligible languages. Such technologies also assist hearing-impaired speakers by providing real-time transcription. Currently, the transcribed or translated speech is typically displayed on a screen that is away from the speaker, e.g., on a hand-held device. Such type of display is not conducive to maintaining the eye-to-eye contact necessary for natural conversation. The techniques of this disclosure describe smart headgear that integrates a display capable of streaming transcribed or translated speech to a listener. The smart headgear integrates or interoperates with natural language processing hardware, microphones, and other necessary hardware and software such that, with the speaker’s permission, the display streams a transcription or translation of the speaker’s speech. In this manner, the interlocutors can maintain eye-to-eye contact during a conversation

A compendium of Caenorhabditis elegans regulatory transcription factors: a resource for mapping transcription regulatory networks

Background Transcription regulatory networks are composed of interactions between transcription factors and their target genes. Whereas unicellular networks have been studied extensively, metazoan transcription regulatory networks remain largely unexplored. Caenorhabditis elegans provides a powerful model to study such metazoan networks because its genome is completely sequenced and many functional genomic tools are available. While C. elegans gene predictions have undergone continuous refinement, this is not true for the annotation of functional transcription factors. The comprehensive identification of transcription factors is essential for the systematic mapping of transcription regulatory networks because it enables the creation of physical transcription factor resources that can be used in assays to map interactions between transcription factors and their target genes. Results By computational searches and extensive manual curation, we have identified a compendium of 934 transcription factor genes (referred to as wTF2.0). We find that manual curation drastically reduces the number of both false positive and false negative transcription factor predictions. We discuss how transcription factor splice variants and dimer formation may affect the total number of functional transcription factors. In contrast to mouse transcription factor genes, we find that C. elegans transcription factor genes do not undergo significantly more splicing than other genes. This difference may contribute to differences in organism complexity. We identify candidate redundant worm transcription factor genes and orthologous worm and human transcription factor pairs. Finally, we discuss how wTF2.0 can be used together with physical transcription factor clone resources to facilitate the systematic mapping of C. elegans transcription regulatory networks. Conclusion wTF2.0 provides a starting point to decipher the transcription regulatory networks that control metazoan development and function

Annotation Graphs and Servers and Multi-Modal Resources: Infrastructure for Interdisciplinary Education, Research and Development

Annotation graphs and annotation servers offer infrastructure to support the analysis of human language resources in the form of time-series data such as text, audio and video. This paper outlines areas of common need among empirical linguists and computational linguists. After reviewing examples of data and tools used or under development for each of several areas, it proposes a common framework for future tool development, data annotation and resource sharing based upon annotation graphs and servers.Comment: 8 pages, 6 figure

A new transcript in the TCRB locus unveils the human ortholog of the mouse pre-Dß1 promoter

Introduction: While most transcripts arising from the human T Cell Receptor locus reflect fully rearranged genes, several germline transcripts have been identified. We describe a new germline transcript arising from the human TCRB locus. Methods: cDNA sequencing, promoter, and gene expression analyses were used to characterize the new transcript. Results: The new germline transcript encoded by the human TCRB locus consists of a new exon of 103bp, which we named TRBX1 (X1), spliced with the first exon of gene segments C ss 1 or C ss 2. X1 is located upstream of gene segment D ss 1 and is therefore deleted from a V-DJ rearranged TCRB locus. The X1-C ss transcripts do not appear to code for a protein. We define their transcription start and minimal promoter. These transcripts are found in populations of mature T lymphocytes from blood or tissues and in T cell clones with a monoallelic TCRB rearrangement. In immature thymocytes, they are already detectable in CD1a(-)CD34(+)CD4(-)CD8(-) cells, therefore before completion of the TCRB rearrangements. Conclusions: The X1 promoter appears to be the ortholog of the mouse pre-D ss 1 promoter (PD ss 1). Like PD ss 1, its activation is regulated by E ss in T cells and might facilitate the TCRB rearrangement process by contributing to the accessibility of the D ss 1 locus