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      The C. elegans 3′ UTRome v2 resource for studying mRNA cleavage and polyadenylation, 3′-UTR biology, and miRNA targeting

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          Abstract

          3′ Untranslated regions (3′ UTRs) of mRNAs emerged as central regulators of cellular function because they contain important but poorly characterized cis-regulatory elements targeted by a multitude of regulatory factors. The model nematode Caenorhabditis elegans is ideal to study these interactions because it possesses a well-defined 3′ UTRome. To improve its annotation, we have used a genome-wide bioinformatics approach to download raw transcriptome data for 1088 transcriptome data sets corresponding to the entire collection of C. elegans trancriptomes from 2015 to 2018 from the Sequence Read Archive at the NCBI. We then extracted and mapped high-quality 3′-UTR data at ultradeep coverage. Here, we describe and release to the community the updated version of the worm 3′ UTRome, which we named 3′ UTRome v2. This resource contains high-quality 3′-UTR data mapped at single-base ultraresolution for 23,084 3′-UTR isoform variants corresponding to 14,788 protein-coding genes and is updated to the latest release of WormBase. We used this data set to study and probe principles of mRNA cleavage and polyadenylation in C. elegans. The worm 3′ UTRome v2 represents the most comprehensive and high-resolution 3′-UTR data set available in C. elegans and provides a novel resource to investigate the mRNA cleavage and polyadenylation reaction, 3′-UTR biology, and miRNA targeting in a living organism.

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          Most cited references45

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              BEDTools: a flexible suite of utilities for comparing genomic features

              Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Journal
                Genome Res
                Genome Res
                genome
                genome
                GENOME
                Genome Research
                Cold Spring Harbor Laboratory Press
                1088-9051
                1549-5469
                December 2019
                December 2019
                : 29
                : 12
                : 2104-2116
                Affiliations
                [1 ]Molecular and Cellular Biology Graduate Program, School of Life Sciences, Tempe, Arizona 85287;
                [2 ]Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute at Arizona State University, Tempe, Arizona 85281, USA;
                [3 ]Barrett, The Honors College, Arizona State University, Tempe, Arizona 85281, USA;
                [4 ]Center for Applied Structural Discovery, The Biodesign Institute at Arizona State University, Tempe, Arizona 85287, USA
                Author notes
                [5]

                Present address: Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA

                Corresponding author: mangone@ 123456asu.edu
                Author information
                http://orcid.org/0000-0002-9577-2972
                http://orcid.org/0000-0001-8608-7650
                http://orcid.org/0000-0001-7551-8793
                Article
                9509184
                10.1101/gr.254839.119
                6886508
                31744903
                e459b965-dee0-448c-8396-5eadf2992d12
                © 2019 Steber et al.; Published by Cold Spring Harbor Laboratory Press

                This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 17 July 2019
                : 10 October 2019
                Page count
                Pages: 13
                Funding
                Funded by: National Institutes of Health , open-funder-registry 10.13039/100000002;
                Funded by: National Institute of General Medical Sciences , open-funder-registry 10.13039/100000057;
                Award ID: 1R01GM118796
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