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      Phylogenetic signatures of ecological divergence and leapfrog adaptive radiation in Espeletia

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Is Open Access

            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 and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                American Journal of Botany
                Am J Bot
                Wiley
                0002-9122
                1537-2197
                January 2021
                January 11 2021
                January 2021
                : 108
                : 1
                : 113-128
                Affiliations
                [1 ]Laboratoire d’Ecologie Alpine (LECA) Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS F‐38000 Grenoble France
                [2 ]Herbario IVIC. Instituto Venezolano de Investigaciones Científicas Apartado 20632 Caracas 1020‐A Venezuela
                [3 ]Génomique Métabolique Genoscope Institut François Jacob CEA CNRS Université Evry Université Paris‐Saclay 91057 Evry France
                [4 ]Université Grenoble Alpes CNRS Université Savoie Mont Blanc SAJF Station Alpine Joseph Fourier 38000 Grenoble France
                Article
                10.1002/ajb2.1591
                aaa97761-e1e9-4f59-ab80-a28178fab539
                © 2021

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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