I share here my notes and thoughts from course, event, workshop, conference related to my research.
I haven’t update for a while but I have many drafts that will come out shortly - community ecology and network analysis of mediterranean microbiome is almost done! I am also cracking a lot of codes for phylogenetic and biogeographic analysis lately. Stay tuned!
Animals I love: Isopod and other Crustaceans Fishes Marine Mammals Sea Turtles Reptiles Birds
Places dreaming to visit:
Why am I doing this?
I want to share my knowledge and experience to others and promote open science. I had only minimal education on data science – before our bachelor program was reformed – so I had to learn all things on my own, and I just know how hard it is. I once sat in a lecture and tried to understand MCMCMC before I even heard of Bayesian statistics. Such gaps are everywhere, especially after I started my master program.
Research is more like a process of self-teaching. More and more online resources for data analysis techniques are available as complement of conventional literature, but I found some of them lack clear introduction, or even proper documentation. Trying to understand and utilize these information can be very frustrating. Using R as an example here, which language I now use in daily basis since three years, is widely used by biologist for data analysis. I started to notice the change in challenging I face when coding with R comparing to the time when I just started - now I am familiar with logics in common R operations and some frequently used packages, but when I try to implement some ideas that have never be done by many people - which means there’s no ready-to-use function or package - I need to implement some functionalities from the scratch and it can get frustrating very very quickly. Another challenging is facing error message coming out from a deeply nested function inside a complex package. Both cases require more understanding in R and its ecosystem and a lot of effort and time to try out - which can be avoided for people having the same problem once someone solved them.
Long story short, my goal here is to put my posts in a way so that the audience, at least those doing similar things, maybe also people in different disciplines with different background, can benefit from the code I cracked, that hopefully inspires for cracking more code and making more cool stuff alive.
---title: "Research Posts"author: ""affiliation: ""listing: - id: ls-all sort: "date desc" sort-ui: [title, date] categories: unnumbered image-height: 120px image-lazy-loading: true filter-ui: true type: default date-format: iso contents: - "*.qmd" - "!draft*.qmd" - "!CV.qmd" - id: ls-comeco sort: "date desc" sort-ui: [title, date] image-height: 120px image-lazy-loading: true filter-ui: true type: default date-format: iso contents: - "community-ecology/*.qmd" - "!draft*.qmd" - id: ls-comeco sort: "date desc" sort-ui: [title, date] image-height: 120px image-lazy-loading: true filter-ui: true type: default date-format: iso contents: - "community-ecology/*.qmd" - "!draft*.qmd"format: html: toc: false---I share here my notes and thoughts from course, event, workshop, conference related to my research. *I haven't update for a while but I have many drafts that will come out shortly - community ecology and network analysis of mediterranean microbiome is almost done! I am also cracking a lot of codes for phylogenetic and biogeographic analysis lately. Stay tuned!*::: {.callout-caution appearance="minimal" title="" style="font-sze:0.9rem; var(--clcolor): #990000; var(--clbg): transparent; border-left: none; border: 1px solid var(--clcolor);" collapse="true"}## [About Me]{style="font-size:1rem;"}- M.Sc Biology Student {{< iconify mdi:academic-cap >}} at [University of Hamburg](https://www.biologie.uni-hamburg.de/en.html)- Interest: {{< iconify humbleicons:arrow-main-split-side >}} Evolution{{< iconify carbon:earth-filled >}} Ecology{{< iconify streamline:bacteria-virus-cells-biology >}} Microbiology{{< iconify mdi:earth >}} Conservation- Skills: {{< iconify tabler:microscope >}} Molecular Technology{{< iconify file-icons:dna >}} Data Analysis- Animals I love: {{< iconify ic:outline-bug-report >}} Isopod and other Crustaceans{{< iconify mdi:shark >}} Fishes{{< iconify map:whale-watching >}} Marine Mammals{{< iconify game-icons:sea-turtle >}} Sea Turtles{{< iconify fluent-emoji-high-contrast:lizard >}} Reptiles{{< iconify game-icons:kiwi-bird >}} Birds- Places dreaming to visit:[{width="20px"}](https://en.wikipedia.org/wiki/Alaska)[{width="20px"}](https://en.wikipedia.org/wiki/New_Zealand)[{width="20px"}](https://en.wikipedia.org/wiki/Patagonia)[{width="20px"}](https://en.wikipedia.org/wiki/Galápagos_Islands)[{width="20px"}](https://de.wikipedia.org/wiki/Costa_Rica)[{width="20px"}](https://en.wikipedia.org/wiki/Amazon_rainforest):::::: {.callout-caution appearance="minimal" title="" style="font-sze:0.9rem; var(--clcolor): #990000; var(--clbg): transparent; border-left: none; border: 1px solid var(--clcolor);" collapse="true"}## [Why am I doing this?]{style="font-size:1rem;"}I want to share my knowledge and experience to others and promote open science. I had only minimal education on data science -- before our bachelor program was reformed -- so I had to learn all things on my own, and I just know how hard it is. I once sat in a lecture and tried to understand MCMCMC before I even heard of Bayesian statistics. Such gaps are everywhere, especially after I started my master program.Research is more like a process of self-teaching. More and more online resources for data analysis techniques are available as complement of conventional literature, but I found some of them lack clear introduction, or even proper documentation. Trying to understand and utilize these information can be very frustrating. Using R as an example here, which language I now use in daily basis since three years, is widely used by biologist for data analysis. I started to notice the change in challenging I face when coding with R comparing to the time when I just started - now I am familiar with logics in common R operations and some frequently used packages, but when I try to implement some ideas that have never be done by many people - which means there's no ready-to-use function or package - I need to implement some functionalities from the scratch and it can get frustrating very very quickly. Another challenging is facing error message coming out from a deeply nested function inside a complex package. Both cases require more understanding in R and its ecosystem and a lot of effort and time to try out - which can be avoided for people having the same problem once someone solved them. Long story short, my goal here is to put my posts in a way so that the audience, at least those doing similar things, maybe also people in different disciplines with different background, can benefit from the code I cracked, that hopefully inspires for cracking more code and making more cool stuff alive.:::```{r}#| output: asis#| echo: falsesource("functions/page_construct.R")forwardMsg("Enjoy.")```<br>::: {.panel-tabset}## Latest::: {#ls-all}:::## Community Ecology::: {#ls-comeco}:::<!-- ## Deep Sea::: {#ls-deepsea}:::```{r}#| output: asis#| echo: falseforwardMsg("Upcoming ...")``` -->:::
