000 01738 a2200445 4500
005 20250517224533.0
264 0 _c20200310
008 202003s 0 0 eng d
022 _a1567-7257
024 7 _a10.1016/j.meegid.2018.06.029
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aThain, Nithum
245 0 0 _aTowards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data.
_h[electronic resource]
260 _bInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
_c08 2019
300 _a59-66 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
650 0 4 _aComputational Biology
650 0 4 _aDatabases, Nucleic Acid
650 0 4 _aGenetic Variation
650 0 4 _aHumans
650 0 4 _aInterspersed Repetitive Sequences
650 0 4 _aMachine Learning
650 0 4 _aMinisatellite Repeats
650 0 4 _aMolecular Epidemiology
_xmethods
650 0 4 _aMycobacterium tuberculosis
_xgenetics
650 0 4 _aNew York City
650 0 4 _aPhylogeny
650 0 4 _aTuberculosis
_xmicrobiology
700 1 _aLe, Christopher
700 1 _aCrossa, Aldo
700 1 _aAhuja, Shama Desai
700 1 _aMeissner, Jeanne Sullivan
700 1 _aMathema, Barun
700 1 _aKreiswirth, Barry
700 1 _aKurepina, Natalia
700 1 _aCohen, Ted
700 1 _aChindelevitch, Leonid
773 0 _tInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
_gvol. 72
_gp. 59-66
856 4 0 _uhttps://doi.org/10.1016/j.meegid.2018.06.029
_zAvailable from publisher's website
999 _c28586588
_d28586588