├── Coursera-answers.txt ├── LICENSE └── README.md /Coursera-answers.txt: -------------------------------------------------------------------------------- 1 | I am a student from (Country name) and I want to take the (course name) however, In this situation, it is quite difficult for me to raise such a large sum of money for the certificate. 2 | Financial Aid will allow me to pursue this course without jeopardizing my monthly critical necessities, hence I am in desperate need of it. 3 | I want to finish (course name) and I want to take the course offered by (course provider). 4 | This course will improve my work opportunities when I graduate from my institute. 5 | It will help me perform better in carrying out (course technology) and provide me a competitive advantage. 6 | A validated certificate will provide legitimacy to the certificate I will acquire as a result of this course. 7 | As I have done in past Signature Track Courses, I intend to finish all assignments on time or early. 8 | I also plan to engage in Discussion Forums, which I have found to be an excellent addition to my learning in the previous online courses I have done on Coursera. 9 | I also want to assess peer-reviewed work, which I feel will be a wonderful learning experience. 10 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2021 Mohmed Soudy 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Bioinformatics-pipeline 2 | Courses, tutorials and books that facilitate bioinformatics. 3 | 4 | # Courses 5 | **Mathematics courses** 6 | 7 | 1 - Linear algebra 8 | 9 | - MIT: https://www.youtube.com/watch?v=QVKj3LADCnA&list=PL49CF3715CB9EF31D 10 | - Khan academy: https://www.youtube.com/watch?v=xyAuNHPsq-g&list=PLFD0EB975BA0CC1E0 11 | - Coursera: Matrix Algebra for Engineers (https://www.coursera.org/learn/matrix-algebra-engineers) 12 | 13 | 2 - Probability 14 | 15 | - MIT: https://www.youtube.com/watch?v=j9WZyLZCBzs&list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8 16 | - Khan academy: https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19 17 | - Coursera: An Intuitive Introduction to Probability (https://www.coursera.org/learn/introductiontoprobability) 18 | 19 | 3 - Statistics 20 | 21 | - MIT: https://www.youtube.com/watch?v=VPZD_aij8H0&list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0 22 | - Khan academy: https://www.youtube.com/watch?v=uhxtUt_-GyM&list=PL1328115D3D8A2566 23 | - Coursera: Basic Statistics (https://www.coursera.org/learn/basic-statistics) 24 | - Tutorial: https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/R/R-Manual/index.html **Recommended** 25 | 26 | 4 - Machine learning 27 | 28 | - MIT: https://www.youtube.com/watch?v=_PwhiWxHK8o&list=PLnvKubj2-I2LhIibS8TOGC42xsD3-liux 29 | - Stanford: https://www.youtube.com/playlist?list=PLkDaE6sCZn6FNC6YRfRQc_FbeQrF8BwGI **Important** 30 | 31 | **Biology courses** 32 | 33 | 1 - Beginners 34 | 35 | - Introduction to genetics: https://www.youtube.com/watch?v=w0ulFIw386w&list=PLmVYuxv4mIil1yNrudAoGL1Ilqd2rkAjI 36 | - Epigenetic control of gene expression: https://www.coursera.org/learn/epigenetics 37 | - Coursera: Genomics (https://www.coursera.org/learn/genomics-research) 38 | - Genomics and proteomics: https://www.youtube.com/watch?v=HzyUmfc8xCk 39 | - Futurelearn 40 | - Bacterial genome from DNA to protein (https://www.futurelearn.com/courses/bacterial-genomes-bioinformatics) 41 | 42 | 2 - Advanced 43 | 44 | - Introduction to systems biology: https://www.coursera.org/learn/systems-biology 45 | - Systems biology and biotechnology: https://www.coursera.org/specializations/systems-biology 46 | - Big data, genes, and medicine: https://www.coursera.org/learn/data-genes-medicine 47 | - Introduction to the biology of cancer: https://www.coursera.org/learn/cancer 48 | - Understanding cancer metastasis: https://www.coursera.org/learn/cancer-metastasis 49 | - From disease to gene and back: https://www.coursera.org/learn/disease-genes 50 | 51 | **Bioinformatics courses, tutorials, and books** 52 | - Statistics for genomics data science: https://www.coursera.org/learn/statistical-genomics 53 | - Genomics data science: https://www.coursera.org/specializations/genomic-data-science 54 | - Biology meets programming for beginners: https://www.coursera.org/learn/bioinformatics 55 | - Molecular evolution: https://www.coursera.org/learn/molecular-evolution 56 | - Whole bacterial genome sequencing: https://www.coursera.org/learn/wgs-bacteria 57 | - Genome assembly challenges: https://www.coursera.org/learn/assembling-genomes 58 | - Bioconductor for genomics data science: https://www.coursera.org/learn/bioconductor 59 | - Statistical data visualization using seaborn: https://www.coursera.org/projects/statistical-data-visualization-seaborn 60 | - Data visualization capstone: https://www.coursera.org/learn/data-visualization-capstone 61 | - Clinical data science: https://www.coursera.org/specializations/clinical-data-science 62 | - Essential bioinformatics: https://www.researchgate.net/profile/Debabrata-Samanta-5/post/Bioinformatics-Which-book-should-I-read-to-understand-bioinformatics-from-the-very-beginning/attachment/5e0ddd59cfe4a777d4002f7f/AS%3A842868579106817%401577966937429/download/Xiong+J.+-+Essential+bioinformatics-CUP+%282006%29.pdf **Recommended** 63 | 64 | **NOTE: Some courses from Coursera will require financial aid, use Coursera-answers.txt and replace required fields** 65 | --------------------------------------------------------------------------------