Macquarie University

About: Macquarie University is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Laser. The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.

The 6dF Galaxy Survey: final redshift release (DR3) and southern large-scale structures

Abstract: We report the final redshift release of the 6dF Galaxy Survey (6dFGS), a combined redshift and peculiar velocity survey over the southern sky (|b| > 10°). Its 136 304 spectra have yielded 110 256 new extragalactic redshifts and a new catalogue of 125 071 galaxies making near-complete samples with (K, H, J, r_F, b_J) ≤ (12.65, 12.95, 13.75, 15.60, 16.75). The median redshift of the survey is 0.053. Survey data, including images, spectra, photometry and redshifts, are available through an online data base. We describe changes to the information in the data base since earlier interim data releases. Future releases will include velocity dispersions, distances and peculiar velocities for the brightest early-type galaxies, comprising about 10 per cent of the sample. Here we provide redshift maps of the southern local Universe with z ≤ 0.1, showing nearby large-scale structures in hitherto unseen detail. A number of regions known previously to have a paucity of galaxies are confirmed as significantly underdense regions. The URL of the 6dFGS data base is http://www-wfau.roe.ac.uk/6dFGS.

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

Abstract: The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since 2014 July. This paper describes the second data release from this phase, and the 14th from SDSS overall (making this Data Release Fourteen or DR14). This release makes the data taken by SDSS-IV in its first two years of operation (2014-2016 July) public. Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey; the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data-driven machine-learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from the SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS web site (www.sdss.org) has been updated for this release and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020 and will be followed by SDSS-V.

Progress with gene‐product mapping of the Mollicutes: Mycoplasma genitalium

Abstract: A protein map of the smallest known self-replicating organism, Mycoplasma genitalium (Class: Mollicutes), revealed a high proportion of acidic proteins. Amino acid composition was used to putatively identify, or provide unique parameters, for 50 gene products separated by two-dimensional gel electrophoresis. A further 19 proteins were subjected to peptide-mass fingerprinting using matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry and 4 were subjected to N-terminal Edman degradation. The majority of M. genitalium proteins remain uncharacterised. However, the combined approach of amino acid analysis and peptide-mass fingerprinting allowed gene products to be linked to homologous genes in a variety of organisms. This has allowed proteins to be identified prior to detection of their respective genes via the M. genitalium sequencing initiative. The principle of ‘hierarchical’ analysis for the mass screening of proteins and the analysis of microbial genomes via their protein complement or ‘proteome’ is detailed. Here, characterisation of gene products depends upon the quickest and most economical technologies being employed initially, so as to determine if a large number of proteins are already present in both homologous and heterologous species databases. Initial screening, which lends itself to automation and robotics, can then be followed by more time and cost intensive procedures, when necessary.