Use human readable keys for the bibliography

docs/Bibliography.org

@@ -7,7 +7,7 @@
 * Deep Learning
 ** Attention is All You Need
 #+begin_src bibtex
-@article{https://doi.org/10.48550/arxiv.1706.03762,
+@article{Vaswani2017,
   doi             = {10.48550/ARXIV.1706.03762},
   url             = {https://arxiv.org/abs/1706.03762},
   author          = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and
@@ -178,7 +178,7 @@ A masked language model (MLM) randomly masks some of the tokens from the input,
 * Deep Learning + Biology
 ** CpG Transformer for imputation of single-cell methylomes
 #+begin_src bibtex
-@article{10.1093/bioinformatics/btab746,
+@article{DeWaele2021,
   author          = {De Waele, Gaetan and Clauwaert, Jim and Menschaert, Gerben
                   and Waegeman, Willem},
   title           = "{CpG Transformer for imputation of single-cell methylomes}",
@@ -214,7 +214,7 @@ A masked language model (MLM) randomly masks some of the tokens from the input,
 #+end_src
 ** MSA Transformer
 #+begin_src bibtex
-@article {Rao2021.02.12.430858,
+@article {Rao2021,
   author          = {Rao, Roshan and Liu, Jason and Verkuil, Robert and Meier,
                   Joshua and Canny, John F. and Abbeel, Pieter and Sercu, Tom
                   and Rives, Alexander},
@@ -443,3 +443,50 @@ A masked language model (MLM) randomly masks some of the tokens from the input,
                   challenges associated with running the competition.}
 }
 #+end_src
+** Eleven grand challenges in single-cell data science
+#+begin_src bibtex
+@article{Lähnemann2020,
+  author          = {L{\"a}hnemann, David and K{\"o}ster, Johannes and Szczurek,
+                  Ewa and McCarthy, Davis J. and Hicks, Stephanie C. and
+                  Robinson, Mark D. and Vallejos, Catalina A. and Campbell,
+                  Kieran R. and Beerenwinkel, Niko and Mahfouz, Ahmed and
+                  Pinello, Luca and Skums, Pavel and Stamatakis, Alexandros and
+                  Attolini, Camille Stephan-Otto and Aparicio, Samuel and
+                  Baaijens, Jasmijn and Balvert, Marleen and Barbanson, Buys de
+                  and Cappuccio, Antonio and Corleone, Giacomo and Dutilh, Bas
+                  E. and Florescu, Maria and Guryev, Victor and Holmer, Rens and
+                  Jahn, Katharina and Lobo, Thamar Jessurun and Keizer, Emma M.
+                  and Khatri, Indu and Kielbasa, Szymon M. and Korbel, Jan O.
+                  and Kozlov, Alexey M. and Kuo, Tzu-Hao and Lelieveldt,
+                  Boudewijn P.F. and Mandoiu, Ion I. and Marioni, John C. and
+                  Marschall, Tobias and M{\"o}lder, Felix and Niknejad, Amir and
+                  Raczkowski, Lukasz and Reinders, Marcel and Ridder, Jeroen de
+                  and Saliba, Antoine-Emmanuel and Somarakis, Antonios and
+                  Stegle, Oliver and Theis, Fabian J. and Yang, Huan and
+                  Zelikovsky, Alex and McHardy, Alice C. and Raphael, Benjamin
+                  J. and Shah, Sohrab P. and Sch{\"o}nhuth, Alexander},
+  title           = {Eleven grand challenges in single-cell data science},
+  journal         = {Genome Biology},
+  year            = 2020,
+  month           = {Feb},
+  day             = 07,
+  volume          = 21,
+  number          = 1,
+  pages           = 31,
+  abstract        = {The recent boom in microfluidics and combinatorial indexing
+                  strategies, combined with low sequencing costs, has empowered
+                  single-cell sequencing technology. Thousands---or even
+                  millions---of cells analyzed in a single experiment amount to
+                  a data revolution in single-cell biology and pose unique data
+                  science problems. Here, we outline eleven challenges that will
+                  be central to bringing this emerging field of single-cell data
+                  science forward. For each challenge, we highlight motivating
+                  research questions, review prior work, and formulate open
+                  problems. This compendium is for established researchers,
+                  newcomers, and students alike, highlighting interesting and
+                  rewarding problems for the coming years.},
+  issn            = {1474-760X},
+  doi             = {10.1186/s13059-020-1926-6},
+  url             = {https://doi.org/10.1186/s13059-020-1926-6}
+}
+#+end_src

docs/bibliography.bib

@@ -1,4 +1,4 @@
-@article{https://doi.org/10.48550/arxiv.1706.03762,
+@article{Vaswani2017,
   doi             = {10.48550/ARXIV.1706.03762},
   url             = {https://arxiv.org/abs/1706.03762},
   author          = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and
@@ -148,7 +148,7 @@
   copyright       = {arXiv.org perpetual, non-exclusive license}
 }
 
-@article{10.1093/bioinformatics/btab746,
+@article{DeWaele2021,
   author          = {De Waele, Gaetan and Clauwaert, Jim and Menschaert, Gerben
                   and Waegeman, Willem},
   title           = "{CpG Transformer for imputation of single-cell methylomes}",
@@ -182,7 +182,7 @@
                   {https://academic.oup.com/bioinformatics/article-pdf/38/3/597/42167564/btab746.pdf},
 }
 
-@article {Rao2021.02.12.430858,
+@article {Rao2021,
   author          = {Rao, Roshan and Liu, Jason and Verkuil, Robert and Meier,
                   Joshua and Canny, John F. and Abbeel, Pieter and Sercu, Tom
                   and Rives, Alexander},
@@ -399,3 +399,48 @@
                   describe trends of well performing approaches, and discuss
                   challenges associated with running the competition.}
 }
+
+@article{Lähnemann2020,
+  author          = {L{\"a}hnemann, David and K{\"o}ster, Johannes and Szczurek,
+                  Ewa and McCarthy, Davis J. and Hicks, Stephanie C. and
+                  Robinson, Mark D. and Vallejos, Catalina A. and Campbell,
+                  Kieran R. and Beerenwinkel, Niko and Mahfouz, Ahmed and
+                  Pinello, Luca and Skums, Pavel and Stamatakis, Alexandros and
+                  Attolini, Camille Stephan-Otto and Aparicio, Samuel and
+                  Baaijens, Jasmijn and Balvert, Marleen and Barbanson, Buys de
+                  and Cappuccio, Antonio and Corleone, Giacomo and Dutilh, Bas
+                  E. and Florescu, Maria and Guryev, Victor and Holmer, Rens and
+                  Jahn, Katharina and Lobo, Thamar Jessurun and Keizer, Emma M.
+                  and Khatri, Indu and Kielbasa, Szymon M. and Korbel, Jan O.
+                  and Kozlov, Alexey M. and Kuo, Tzu-Hao and Lelieveldt,
+                  Boudewijn P.F. and Mandoiu, Ion I. and Marioni, John C. and
+                  Marschall, Tobias and M{\"o}lder, Felix and Niknejad, Amir and
+                  Raczkowski, Lukasz and Reinders, Marcel and Ridder, Jeroen de
+                  and Saliba, Antoine-Emmanuel and Somarakis, Antonios and
+                  Stegle, Oliver and Theis, Fabian J. and Yang, Huan and
+                  Zelikovsky, Alex and McHardy, Alice C. and Raphael, Benjamin
+                  J. and Shah, Sohrab P. and Sch{\"o}nhuth, Alexander},
+  title           = {Eleven grand challenges in single-cell data science},
+  journal         = {Genome Biology},
+  year            = 2020,
+  month           = {Feb},
+  day             = 07,
+  volume          = 21,
+  number          = 1,
+  pages           = 31,
+  abstract        = {The recent boom in microfluidics and combinatorial indexing
+                  strategies, combined with low sequencing costs, has empowered
+                  single-cell sequencing technology. Thousands---or even
+                  millions---of cells analyzed in a single experiment amount to
+                  a data revolution in single-cell biology and pose unique data
+                  science problems. Here, we outline eleven challenges that will
+                  be central to bringing this emerging field of single-cell data
+                  science forward. For each challenge, we highlight motivating
+                  research questions, review prior work, and formulate open
+                  problems. This compendium is for established researchers,
+                  newcomers, and students alike, highlighting interesting and
+                  rewarding problems for the coming years.},
+  issn            = {1474-760X},
+  doi             = {10.1186/s13059-020-1926-6},
+  url             = {https://doi.org/10.1186/s13059-020-1926-6}
+}