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- W2334002433 abstract "Microorganisms play a vital role in various ecosystems and characterizing interactions between them is an essential step towards understanding the organization and function of microbial communities. Computational prediction has recently become a widely used approach to investigate microbial interactions. We provide a thorough review of emerging computational methods organized by the type of data they employ. We highlight three major challenges in inferring interactions using metagenomic survey data and discuss the underlying assumptions and mathematics of interaction inference algorithms. In addition, we review interaction prediction methods relying on metabolic pathways, which are increasingly used to reveal mechanisms of interactions. Furthermore, we also emphasize the importance of mining the scientific literature for microbial interactions – a largely overlooked data source for experimentally validated interactions." @default.
- W2334002433 created "2016-06-24" @default.
- W2334002433 creator A5037130238 @default.
- W2334002433 creator A5047040627 @default.
- W2334002433 creator A5062774997 @default.
- W2334002433 creator A5087365202 @default.
- W2334002433 date "2016-06-01" @default.
- W2334002433 modified "2023-09-27" @default.
- W2334002433 title "Predicting microbial interactions through computational approaches" @default.
- W2334002433 cites W114293352 @default.
- W2334002433 cites W1517845139 @default.
- W2334002433 cites W1545070333 @default.
- W2334002433 cites W1581963595 @default.
- W2334002433 cites W1779425862 @default.
- W2334002433 cites W1850865022 @default.
- W2334002433 cites W1864161604 @default.
- W2334002433 cites W1891411045 @default.
- W2334002433 cites W1952460190 @default.
- W2334002433 cites W1966623514 @default.
- W2334002433 cites W1971061059 @default.
- W2334002433 cites W1972445536 @default.
- W2334002433 cites W1979328481 @default.
- W2334002433 cites W1979963523 @default.
- W2334002433 cites W1982013068 @default.
- W2334002433 cites W1984445372 @default.
- W2334002433 cites W1987979808 @default.
- W2334002433 cites W1993016060 @default.
- W2334002433 cites W1993830991 @default.
- W2334002433 cites W1997484087 @default.
- W2334002433 cites W2011312755 @default.
- W2334002433 cites W2012994611 @default.
- W2334002433 cites W2013635222 @default.
- W2334002433 cites W2015208937 @default.
- W2334002433 cites W2027297424 @default.
- W2334002433 cites W2027763661 @default.
- W2334002433 cites W2033507994 @default.
- W2334002433 cites W2039594706 @default.
- W2334002433 cites W2043442946 @default.
- W2334002433 cites W2045229527 @default.
- W2334002433 cites W2048059249 @default.
- W2334002433 cites W2050307070 @default.
- W2334002433 cites W2059762609 @default.
- W2334002433 cites W2060515712 @default.
- W2334002433 cites W2076393137 @default.
- W2334002433 cites W2078355959 @default.
- W2334002433 cites W2079811188 @default.
- W2334002433 cites W2080441696 @default.
- W2334002433 cites W2082612446 @default.
- W2334002433 cites W2095416786 @default.
- W2334002433 cites W2097960255 @default.
- W2334002433 cites W2101842450 @default.
- W2334002433 cites W2102681753 @default.
- W2334002433 cites W2103088074 @default.
- W2334002433 cites W2104007350 @default.
- W2334002433 cites W2104063250 @default.
- W2334002433 cites W2108959333 @default.
- W2334002433 cites W2109503531 @default.
- W2334002433 cites W2111381495 @default.
- W2334002433 cites W2111703735 @default.
- W2334002433 cites W2113977541 @default.
- W2334002433 cites W2117629729 @default.
- W2334002433 cites W2119458600 @default.
- W2334002433 cites W2120433106 @default.
- W2334002433 cites W2122093325 @default.
- W2334002433 cites W2124570789 @default.
- W2334002433 cites W2125826054 @default.
- W2334002433 cites W2128216667 @default.
- W2334002433 cites W2128414896 @default.
- W2334002433 cites W2128807664 @default.
- W2334002433 cites W2129129267 @default.
- W2334002433 cites W2129920902 @default.
- W2334002433 cites W2132555912 @default.
- W2334002433 cites W2133456867 @default.
- W2334002433 cites W2134225358 @default.
- W2334002433 cites W2134423940 @default.
- W2334002433 cites W2136003132 @default.
- W2334002433 cites W2136737152 @default.
- W2334002433 cites W2140405224 @default.
- W2334002433 cites W2143353625 @default.
- W2334002433 cites W2149350210 @default.
- W2334002433 cites W2151097405 @default.
- W2334002433 cites W2152538010 @default.
- W2334002433 cites W2154003902 @default.
- W2334002433 cites W2160870047 @default.
- W2334002433 cites W2163056825 @default.
- W2334002433 cites W2163107094 @default.
- W2334002433 cites W2163903604 @default.
- W2334002433 cites W2164549452 @default.
- W2334002433 cites W2165700458 @default.
- W2334002433 cites W2165740373 @default.
- W2334002433 cites W2166562121 @default.
- W2334002433 cites W2168905447 @default.
- W2334002433 cites W2171024592 @default.
- W2334002433 cites W2182284466 @default.
- W2334002433 cites W2322601509 @default.
- W2334002433 cites W3098834468 @default.
- W2334002433 cites W3099289621 @default.
- W2334002433 doi "https://doi.org/10.1016/j.ymeth.2016.02.019" @default.