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https://github.com/raivivek/awesome-biology

Curated (meta)list of resources for Biology.
https://github.com/raivivek/awesome-biology

List: awesome-biology

awesome-list bioinformatics biology books evolution science systems-biology

Last synced: 7 days ago
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Curated (meta)list of resources for Biology.

Awesome Lists containing this project

README 

        
# Awesome Biology [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) [![Build Status](https://travis-ci.org/raivivek/awesome-biology.svg?branch=master)](https://travis-ci.org/raivivek/awesome-biology) [![Say Thanks!](https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg)](https://saythanks.io/to/raivivek)



Meta-collection of awesome learning resources, research papers, tools and other

resources across different fields in Biology. This is inspired from several such

lists in programming community.



If you want to contribute to this list (please do), [send a pull

request](https://github.com/raivivek/awesome-biology/compare), [open an

issue](https://github.com/vivekiitkgp/awesome-biology/issues/new). When sending

suggestions please add a short blurb/description about resource that you have personally

read/benefited from. Feel free to debate quality, headings, etc. irrespective of any

particular field or subject area.



All the resources need not be freely available for download.



For Q&A type of resources that share excellent insight see

[here](https://github.com/vivekiitkgp/awesome-biology/blob/master/quora.md).



For a list of review research articles, see [awesome-reviews](awesome-reviews.md).



Table of Contents

=================



* [Awesome lists](#awesome)

* [General Reading](#general-reading)

  - [Videos](#videos)

* [Introductory](#introductory)

* [Biochemistry](#biochemistry)

* [Biophysics](#biophysics)

* [Bioprocess Engineering](#bioprocess-engineering)

* [Evolution](#evolution)

* [Molecular Biology](#molecular-biology)

* [Neuroscience](#neuroscience)

* [Physical Biology](#physical-biology)

* [Immunology](#immunology)

* [Genetics](#genetics)

* [Omics & Sequencing](#omics---sequencing)

* [Systems Biology and Genetic Networks](#systems-biology-and-genetic-networks)

* [Bioinformatics](#bioinformatics)

* [Structural Biology | Proteins](#structural-biology---proteins)

* [Statistics | Data munging](#statistics---data-munging)

* [Laboratory Manuals](#laboratory-manuals)

* [Blogs/Links](#blogs-links)

* [Tools](#tools)

* [Journals](#journals)

* [MOOCs](#moocs)

* [Competitions](#competitions)



Awesome

-------



* [Awesome Bioinformatics](https://github.com/danielecook/Awesome-Bioinformatics)

* [Awesome Biological Image Analysis](https://github.com/hallvaaw/awesome-biological-image-analysis)

* [Awesome Multi-Omics](https://github.com/mikelove/awesome-multi-omics)

* [Awesome Single-Cell](https://github.com/seandavi/awesome-single-cell)

* [Awesome-Computational-Neuroscience](https://github.com/eselkin/awesome-computational-neuroscience)

* [Awesome Cancer Variant Databases](https://github.com/seandavi/awesome-cancer-variant-databases)

* [Awesome DeepBio](https://github.com/gokceneraslan/awesome-deepbio)

* [Awesome Nextflow](https://github.com/nextflow-io/awesome-nextflow)

* [Awesome Reproducible Research](https://github.com/leipzig/awesome-reproducible-research)

* [Awesome Synthetic Biology](https://github.com/websemantics/awesome-synthetic-biology)



Lists

-----



Other awesome lists without the _awesome_ branding.



#### Tools



* [Biotools by _John Didion_](https://github.com/jdidion/biotools)



General Reading

---------------



> Unordered list of books written in popular science style yet sufficiently technical in

> appropriate cases to provide you an interesting tour of all big and small process in

> universe and its biology.



* [The Epic History of Biology by *Serafini*](https://www.amazon.com/dp/073820577X)

* [The Selfish Gene by *Richard Dawkins*](https://www.amazon.com/dp/0199291152)

* [What is Life by *Erwin Schrodinger*](whatislife.stanford.edu/LoCo_files/What-is-Life.pdf) (Public Domain)

* [The Immortal Life of Henrietta Lacks by *Rebecca Skloot*](http://rebeccaskloot.com/the-immortal-life/)

* [The Red Queen: Sex and the Evolution of Human Nature by *Matt Ridley*](https://en.wikipedia.org/wiki/The_Red_Queen:_Sex_and_the_Evolution_of_Human_Nature)

* [The Richness of Life by *Stephen Jay Gould*](https://www.goodreads.com/book/show/33937.The_Richness_of_Life)

* [Guns, Germs, and Steel: The Fates of Human Societies by *Jared Diamond*](https://en.wikipedia.org/wiki/Guns,_Germs,_and_Steel)

* [The Ascent of Man by *Jacob Bronowski*](https://en.wikipedia.org/wiki/The_Ascent_of_Man)

* [Power, Sex and Suicide: Mitochondria and the Meaning of Life by *Nick

    Lane*](https://en.wikipedia.org/wiki/Power,_Sex,_Suicide)

* [Emperor of all Maladies by *Siddhartha Mukherjee*](https://www.amazon.com/Emperor-All-Maladies-Biography-Cancer/dp/1439170916/ref=sr_1_1?s=books&ie=UTF8&qid=1451746489&sr=1-1&keywords=emperor+of+all+maladies)

* [The Gene by *Siddhartha Mukherjee*](https://www.goodreads.com/book/show/27276428-the-gene)

* [The Eighth Day of Creation by *H. F. Judson*](https://www.cshlpress.com/default.tpl?cart=14538074292706651&fromlink=T&linkaction=full&linksortby=oop_title&--eqSKUdatarq=294)

* [The Human Zoo by *Desmond Morris*](https://en.wikipedia.org/wiki/The_Human_Zoo_%28book%29)

* [The Equation That Couldn't be Solved by *Mario Livio*](https://www.amazon.com/The-Equation-That-Couldnt-Solved/dp/0743258215)

* [The Golden Ratio by *Mario Livio*](https://www.amazon.com/The-Golden-Ratio-Worlds-Astonishing/dp/0767908163)

* [The Complexity Paradox by *Kenneth Mossman*](https://global.oup.com/academic/product/the-complexity-paradox-9780199330348?cc=in&lang=en&)

* [The Vital Question by *Nick Lane*](https://www.theguardian.com/books/2015/apr/22/the-vital-question-nick-lane-review-secret-life)

* [On Growth and Form by *D'Arcy Wentworth Thomsom*](https://en.wikipedia.org/wiki/On_Growth_and_Form)

* [The Big Questions: Evolution by *Francisco Ayala*](https://www.amazon.com/The-Big-Questions-Evolution-Qestions/dp/1780870337)

* [The Making of a Fly by *Peter Lawrence*](https://www.amazon.co.uk/The-Making-Fly-Genetics-Animal/dp/0632030488/ref=sr_1_1?ie=UTF8&qid=1371646958&sr=8-1&keywords=The+Making+of+a+Fly)

* [Molecular Machines in Biology by *Joachim Frank*](http://www.cambridge.org/us/academic/subjects/life-sciences/molecular-biology-biochemistry-and-structural-biology/molecular-machines-biology-workshop-cell?format=HB)

* [Cell Motility from Molecules to Organisms by *Ridley and Peckham*](http://onlinelibrary.wiley.com/book/10.1002/0470011742)

* [Random Walks in Biology by *Howard Berg*](https://press.princeton.edu/titles/112.html)

* [Elephants on Acids and Other Bizarre Experiments by *Alex Boese*](https://www.amazon.com/Elephants-Acid-Bizarre-Experiments-Original/dp/0156031353)

* [Sapiens: A Brief History of Humankind by *Yuval Noah Harari*](https://en.wikipedia.org/wiki/Sapiens:_A_Brief_History_of_Humankind)

* [Evolving Ourselves: Redesigning the Future of Humanity--One Gene at a Time](https://www.amazon.com/Evolving-Ourselves-Redesigning-Future-Humanity-One/dp/0143108344/ref=sr_1_1?ie=UTF8&qid=1486032552&sr=8-1)

* [The Botany of Desire by *Michael Pollan*](https://en.wikipedia.org/wiki/The_Botany_of_Desire)

* [Silent Spring by *Rachel Carlson*](https://en.wikipedia.org/wiki/Silent_Spring)

* [Soft Matter: the stuff that dreams are made of by *Roberto Piazza*](https://www.springer.com/in/book/9789400705845)



#### Videos



* [Life on Earth and The Living Planet by *David Attenborough*](https://en.wikipedia.org/wiki/The_Living_Planet)

* [The Secret Life of The Brain by *PBS*](https://www.youtube.com/watch?v=q7PUyR4mcNI&list=PLcVG5UVQS25l-IKQIj3wCeTnNLsl8gQRz)



General Biology

---------------



* [Ancestors in Our Genome by *Eugene E. Harris*](https://global.oup.com/academic/product/ancestors-in-our-genome-9780199978038?cc=us&lang=en&)

* [A Cartoon Guide to Genetics by *Gonick* and *Wheelis*](https://archive.org/details/The_Cartoon_Guide_To_Genetics_Larry_Gonick)

* [Campbell Biology](https://www.amazon.com/Campbell-Biology-Edition-Jane-Reece/dp/0321558235/ref=zg_bs_226688_5)

* [Clinical Microbiology Made Ridiculously Simple](https://www.amazon.in/gp/product/094078081X)

* [The Biology of Cancer by *Weinberg*](http://www.garlandscience.com/product/isbn/9780815342205)

* [The Deeper Genome by *John Parrington*](https://global.oup.com/academic/product/the-deeper-genome-9780199688739)

* [The Developing Genome: An Introduction to Behavioral Epigenetics by *Davis S. Moore*](https://global.oup.com/academic/product/the-developing-genome-9780199922345?cc=us&lang=en&)

* [The Systems View of Life: A Unifying Vision](https://www.amazon.com/Systems-View-Life-Unifying-Vision-ebook/dp/B00I0UNCES/ref=mt_kindle?_encoding=UTF8&me=)

* [Scitable by *Nature Education*](https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=http%3A%2F%2Fwww.nature.com%2Fscitable)

* [The Many Phases of the Matter by *Ganeshan Venkataraman*](https://www.goodreads.com/book/show/2205012.The_Many_Phases_Of_Matter)

* [The Shaping of Life by *Lionel G. Harrison*](https://www.cambridge.org/core/books/the-shaping-of-life/CC2A60300A688A6BE31BE73DBF420A95)

* [The Machinery of Life by *David Goodsell*](http://mgl.scripps.edu/people/goodsell/books/MoL2-preview.html)



Biochemistry

------------



* [Biochemistry by *Berg*](https://www.amazon.com/Biochemistry-Jeremy-M-Berg/dp/1464126100/ref=zg_bs_689711011_1)

* [Principles of Biochemistry by *Lehninger*](http://www.macmillanlearning.com/catalog/Product/lehningerprinciplesofbiochemistry-sixthedition-nelson)



Biophysics

----------



* [Feynman Lectures On Computation by *Richard Feynman*](https://www.amazon.com/Feynman-Lectures-On-Computation-Richard/dp/0738202967)

* [Physics in Molecular Biology by *Kim Sneppen*](https://www.cambridge.org/core/product/identifier/9780511755699/type/BOOK)

* [Physics of Living Systems by *Fabrizio Cleri*](https://www.springer.com/in/book/9783319306452)



Bioprocess Engineering

----------------------



* [Bioprocess Engineering Principles by *Pauline M. Doran*](https://www.amazon.com/Bioprocess-Engineering-Principles-Second-Edition/dp/012220851X)



Evolution

---------



* [Arrival of the Fittest: Solving Evolution's Greatest Puzzle by *Andreas Wagner*](https://www.amazon.com/Arrival-Fittest-Solving-Evolutions-Greatest/dp/1591846463)

* [Computational Molecular Evolution by *Ziheng Yang*](http://abacus.gene.ucl.ac.uk/CME/)

* [Fundamentals of Molecular Evolution by *Dan Graur*](https://www.amazon.com/Fundamentals-Molecular-Evolution-Dan-Graur/dp/0878932666)

* [Human Evolutionary Genetics by *Jobling* et al](http://www.garlandscience.com/product/isbn/9780815341482)

* [Life Ascending: The Ten Great Inventions of Evolution by *Nick Lane*](https://www.goodreads.com/book/show/6429264-life-ascending)

* [Robustness and Evolvability in Living Systems by *Andreas Wagner*](https://press.princeton.edu/titles/8002.html)

* [Mathematical Ecology of Populations and Ecosystems by *John Pastor*](http://www.wiley.com/WileyCDA/WileyTitle/productCd-1405177950.html)

* [Man and His Future, A Ciba Foundation Volume by *Wolstenholme, G. E. W.*](https://archive.org/details/manhisfutureciba00wols)

* [The Origins of Evolutionary Innovations by *Andreas Wagner*](https://global.oup.com/academic/product/the-origins-of-evolutionary-innovations-9780199692606?cc=in&lang=en&)

* [The Growth of Biological Thought](https://en.wikipedia.org/wiki/The_Growth_of_Biological_Thought)



Molecular Biology

-----------------



* **Quora**: [What are the best papers in Molecular Biology?](https://www.quora.com/What-are-the-best-papers-in-molecular-biology)

* [Molecular Biology of the Cell by *Bruce Alberts*](http://www.garlandscience.com/product/isbn/0815341059)

* [Molecular Biology of Gene by *Watson et al*](https://www.amazon.com/Molecular-Biology-Books-Carte-Edition/dp/0321905377)

* [Molecular Cell Biology by *Lodish*](https://www.amazon.com/Molecular-Cell-Biology-Harvey-Lodish/dp/0716723808)

* [Gene Cloning and DNA Analysis: An Introduction by *T. A. Brown*](https://books.google.com/books/about/Gene_Cloning_and_DNA_Analysis.html?id=FWhcYsuwIXoC&hl=en)

* [Lewin's GENES XII by *Krebs et al*](https://www.amazon.com/Lewins-GENES-XII-Jocelyn-Krebs/dp/1284104494)



Neuroscience

------------



* **LIST**: [Awesome-Computational-Neuroscience](https://github.com/eselkin/awesome-computational-neuroscience)

* [Principles of Neural Science by *Kandel* and *Schwartz*](http://www.principlesofneuralscience.com)

* [Theoretical Neuroscience by *Dayan* and *Abbott*](https://mitpress.mit.edu/books/theoretical-neuroscience)



Physical Biology

----------------



* **List**: [Pedagogical/review papers on Physical Biology (60+ papers)](https://home.icts.res.in/~vijay/papers-phys_living_matter.html) [(course)](https://home.icts.res.in/~vijay/phys_living_matter.html) [(archive)](https://web.archive.org/web/20170701120059/https://home.icts.res.in/~vijay/papers-phys_living_matter.html)

* [Cell Biology by The Numbers](http://book.bionumbers.org/) (**Online**)

* [Physical Biology of the Cell by *Phillips et al*](http://microsite.garlandscience.com/pboc2/)



Immunology

----------



* [How the Immune System Works?](https://www.amazon.com/Immune-System-Includes-Desktop-Edition/dp/0470657294)

* [*Janeway's* Immunobiology](http://www.garlandscience.com/product/isbn/9780815342434)

* [*Kuby* Immunology](https://www.academia.edu/39998679/Kuby_Immunology_7th_Edition)



Genetics

--------



* [Genes and Genomes: A Changing Perspective by *Maxine Singer* and *Paul Berg*](https://books.google.co.in/books/about/Genes_Genomes.html?id=h59BWkO5c1oC&hl=en)



  > Students will like this text. The writing is clear and straight-forward so

  > that facts are easily assimilated and arguments/discursive points easily

  > followed. The part on recombinant DNA is particularly good. - C A Smith (*Biochemical Education, Volume 19, Issue 4*)



* [Concepts of Genetics by *Klug*](https://www.amazon.com/Concepts-Genetics-William-S-Klug/dp/0321795776)

* [Principles of Population Genetics by *Hartl* and *Clark*](https://www.amazon.com/Principles-Population-Genetics-Daniel-Hartl/dp/0878933085)



Omics

-----



* Waterston, R. H. (2002). **On the sequencing of the human genome**. Proceedings

  of the National Academy of Sciences, 99(6), 3712–3716.

  [http://www.pnas.org/lookup/doi/10.1073/pnas.042692499](http://dx.doi.org/10.1073/pnas.042692499)

* Myers, E. W. (2002). **On the sequencing and assembly of the human genome.**

  Proceedings of the National Academy of Sciences, 99(7), 4145–4146.

  [http://www.pnas.org/cgi/doi/10.1073/pnas.092136699](http://dx.doi.org/10.1073/pnas.092136699)

* Nik-Zainal, S., Alexandrov, L. B., Wedge, D. C., Van Loo, P., Greenman, C.

  D., Raine, K., Jones, D., et al. (2012). **Mutational Processes Molding the

  Genomes of 21 Breast Cancers.** Cell, 149(5), 979–993.

  [http://linkinghub.elsevier.com/retrieve/pii/S0092867412005284](http://dx.doi.org/10.1016/j.cell.2012.04.024)

* Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen,

  E., Sheffield, N. C., et al. (2012). **The accessible chromatin landscape of

  the human genome**. Nature, 489(7414), 75–82. [http://www.nature.com/doifinder/10.1038/nature11232](http://dx.doi.org/10.1038/nature11232)

* Wang, Z., Gerstein, M. & Snyder, M. **RNA-Seq: a revolutionary tool for transcriptomics**. Nat. Rev. Genet. 10, 57–63 (2009).

  [http://www.nature.com/doifinder/10.1038/nrg2484](http://dx.doi.org/10.1038/nrg2484)



Systems Biology and Genetic Networks

------------------------------------



* [An Introduction to Systems Biology by *Uri Alon*](https://www.amazon.com/Introduction-Systems-Biology-Mathematical-Computational/dp/1584886420)

* [A First Course in Systems Biology by *E. Voit*](http://www.garlandscience.com/product/isbn/9780815344674)

* [A Genetic Switch by *Mark Ptashne*](https://www.amazon.com/Genetic-Switch-Third-Edition-Revisited/dp/0879697164)

* [Lectures from Systems Biology Course by *Uri Alon*](http://www.weizmann.ac.il/mcb/UriAlon/movies/Systems%20Biology%20Course%202014)

* [Lectures from Systems Biology: Constraint-based Reconstruction and Analysis by *B. Palsson*](http://gcrg.ucsd.edu/Publications/Books/SB1-2LectureSlides)

* [Life: An Introduction to Complex Systems Biology by *Kunihiko Kaneko*](http://link.springer.com/10.1007/978-3-540-32667-0)

* [Mathematical Modeling in Systems Biology by *Brian Ingalls*](https://mitpress.mit.edu/books/mathematical-modeling-systems-biology)

* [Systems Biology: Properties of Reconstructed Networks by *B. Palsson*](http://gcrg.ucsd.edu/Publications/Books)



Deep Learning

-------------



* List: [Deep Learning in Computational Biology](https://github.com/pimentel/deep_learning_papers)

* List: [Deep Learning in Neuronal Image Analysis](https://github.com/alxndrkalinin/awesome-deepneuroimage)

* List: [Deep Learning in Biology](https://github.com/hussius/deeplearning-biology)

* **List**: [Deep Learning Applications in Computational Biology](https://github.com/gokceneraslan/awesome-deepbio)



Bioinformatics

--------------



* **List**: [Curated list of papers for Computational Genomics](https://github.com/jtleek/genomicspapers)

* **List**: [Awesome-Bioinformatics](https://github.com/danielecook/Awesome-Bioinformatics)

* [Practical Computing for Biologists by *Steven Haddock* and *Casey Dunn*](http://practicalcomputing.org/)

* [An Introduction to Bioinformatics Algorithms by *Pavel Pevzner*](https://mitpress.mit.edu/books/introduction-bioinformatics-algorithms)

* [Bioinformatics and Functional Genomics by *Jonathan Pevsner*](http://www.bioinfbook.org/php/?q=book3)

* [Bioinformatics Algorithms: An Active Learning Approach by *Phillip Compeau and Pavel Pevzner*](https://secure.mybookorders.com/mbo_index.php?isbn=9780990374626)

* [Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids](https://www.amazon.com/Biological-Sequence-Analysis-Probabilistic-Proteins/dp/0521629713)

* [Bioinformatics: The Machine Learning Approach by *Pierre Baldi*](https://books.google.com/books?id=pxSM7R1sdeQC&dq=Pierre+baldi+%2B+bioinformatics&printsec=frontcover&source=bn&hl=en&ei=IoGRS6uCIJT-NYLA8Z0N&sa=X&oi=book_result&ct=result)

* [Current topics in Genome Analysis 2016 by NIH-NHGRI](https://www.genome.gov/12514288/current-topics-in-genome-analysis-2016-course-syllabus-handouts-and-videos/)

* [Statistical Methods in Bioinformatics: An Introduction by *Ewens*](https://www.springer.com/in/book/9780387400822)

* [Introduction to Protein-DNA Interactions by *Gary Stormo*](https://www.amazon.es/Introduction-Protein-DNA-Interactions-Thermodynamics-Bioinformatics/dp/1936113503?tag=duc0d-21)

* [Introduction to Genomics by *Arthur M. Lesk*](http://global.oup.com/uk/orc/biosciences/evolution/leskgenomics2e/)

* [Theory of Basic Alignment Search Tool (BLAST)](http://etutorials.org/Misc/blast/)

* [Translational Bioinformatics by *PLOS Collections*](http://collections.plos.org/translational-bioinformatics)



Statistics

----------



* [Introduction to Statistical Learning (with applications in R) by *Hastie et al.*](http://www-bcf.usc.edu/~gareth/ISL/)

* [Nature's Statistics for Biologists collection](https://www.nature.com/collections/qghhqm)

* [Statistical Done Wrong by *Alex Reinhart*](https://www.statisticsdonewrong.com/)

* [Statistics Inference by *George Casella*]()



Structural Biology | Proteins

-----------------------------



* [Algorithms in Structural Molecular Biology by *Bruce R. Donald*](https://mitpress.mit.edu/books/algorithms-structural-molecular-biology)

* [Introduction to Protein Structure by *Branden* and *Tooze*](https://www.amazon.in/Introduction-Protein-Structure-Carl-Branden/dp/0815323050)

* [Proteins: Structures and Molecular Properties by *Creighton*](https://www.amazon.com/Proteins-Structures-Properties-Thomas-Creighton/dp/071677030X)



Data Analysis | Programming

---------------------------



* [The Cartoon Guide to Statistics by *Gonick*](http://www.larrygonick.com/titles/science/the-cartoon-guide-to-statistics/)

* [The Analysis of Biological Data by *Whitlock* and *Schluter*](https://www.amazon.com/Analysis-Biological-Data-Michael-Whitlock/dp/1936221489)

* [Practical Computing for Biologists by *Haddock* and *Dunn*](www.practicalcomputing.org/)

* [Advanced Python for Biologists by *Dr Martin O Jones*](https://www.amazon.com/Advanced-Python-Biologists-Martin-Jones/dp/1495244377/ref=zg_bs_760204_17)



Laboratory Protocol Manuals

---------------------------



* [Molecular Cloning: A Laboratory Manual by *Sambrook*](http://www.molecularcloning.com/)

* [Prescott's Microbiology](https://www.amazon.in/Prescotts-Microbiology-Joanne-Willey/dp/0077350138)

* [Nature Protocols](https://nature.com/nprot/index.html)



Blogs/Links

----------------



* [What are some essential websites for biologists?](https://www.quora.com/What-are-some-essential-websites-for-biologists/answer/Alex-Siegel?srid=Tds3)

* [**Talks at ICTS**](https://www.youtube.com/user/ICTStalks/playlists), an

interesting collection of talks on statistical physics, systems biology, and

much more.

* [Papers-per-week](https://github.com/raivivek/papers-per-week), my collection of papers (with reviews!)

* [Protein Love @ Quora](https://proteinlove.quora.com/)

* [Bioscience club @ Quora](https://bioscienceclub.quora.com), discusses great biology related answers on Quora

* [it is NOT junk](http://www.michaeleisen.org/blog/), a blog about genomes, DNA, evolution, open science by [Michael Eisen](http://www.michaeleisen.org/blog/?page_id=581)

* [Virology, immunology, biology @ Quota](https://iayork.quora.com/) by Ian York

* [Quorky Biology](https://vidushirastogi.quora.com/)

* [Biophysics Research Blog](https://biophysicsblog.quora.com/)

* [reddit/biology](https://www.reddit.com/r/biology)

* [reddit/bioinformatics](https://www.reddit.com/r/bioinformatics/comments/191ykr/resources_for_learning_bioinformatics/)

* [reddit/learnbioinformatics](https://www.reddit.com/r/learnbioinformatics/wiki/index)

* [Biostars Tutorials](https://www.biostars.org/t/Tutorials/)

* [Rosalind](http://rosalind.info/problems/)



Podcasts

--------



* [This Week in Microbiology by *Vincent Racaniello*](www.microbe.tv/twim/)

* [Nature Podcasts](https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=http%3A%2F%2Fwww.nature.com%2Fnature%2Fpodcast%2F)

* [Evolution Talk Podcast](http://evolutiontalk.com/mbRXg/)

* [The Naked Scientists' Podcasts](https://www.thenakedscientists.com/podcasts), with four biology related podcasts, The Naked Scientists, eLife, Naked Genetics, and Naked Neuroscience



Tools

-----



* [ResearchKit](https://github.com/ResearchKit/ResearchKit), Framework to create apps for medical research

* [OMICS Tools](https://omictools.com/), A huge collection of tools

* [bioconda-recipes](https://github.com/bioconda/bioconda-recipes), Conda recipes to install bioinformatics software

* [PDBREMIX](https://github.com/boscoh/pdbremix), Library to analyze protein structures and protein simulations

* [scikit-bio](http://scikit-bio.org), in development Python library for bioinformatics

* [BioPython](http://biopython.org/wiki/Main_Page), Python libraries that implement a rich set of modules to handle wide class of biological computations

* [SciFeeds](https://scifeeds.com/), Aggregates science mentioned in articles, social media, and news media to help identify important scientific advances

* [Linuxbrew](http://linuxbrew.sh/), port of Homebrew, a Mac OS package manager, for Linux



Journals

--------



* [Top Publications (Life Sciences) - Google Scholar](https://scholar.google.co.in/citations?view_op=top_venues&hl=en&vq=bio)

* [Annual Reviews](http://www.annualreviews.org/?cookieSet=1)

* [Cell Press](https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=http%3A%2F%2Fcell.com%2F&rc=0&code=cell-site)

* [Current Opinion](http://www.current-opinion.com/default.aspx)

* [Nature](http://www.nature.com/nature)

* [Oxford Journals](http://oxfordjournals.org/en/)

* [PNAS](http://www.pnas.org/)

* [Science](http://www.sciencemag.org/)



MOOCs

-----



* [Bioinformatics: Journey to the Frontier of Computational Biology Specialization](https://www.coursera.org/specializations/bioinformatics?utm_medium=courseDescripTop)

* [Complexity Explorer by *Santa Fe Institute*](http://www.complexityexplorer.org/courses)

* [Epigenetic Control of Gene Expression](https://www.coursera.org/learn/epigenetics)

* [Experimental Genome Science](https://www.coursera.org/browse?source=deprecated_spark_cdp)

* [EMBL-EBI Online Training Courses](https://www.ebi.ac.uk/training/online/course-list)

* [Fundamentals of Biology - OCW.MIT](https://ocw.mit.edu/courses/biology/7-01sc-fundamentals-of-biology-fall-2011/)

* [HarvardX's PH525-x Data Analysis Series](https://www.edx.org/course/statistics-r-harvardx-ph525-1x)

* [Introduction to Systems Biology](https://www.coursera.org/learn/systems-biology)

* [Introduction to Biomedical Imaging](https://www.edx.org/course/introduction-biomedical-imaging-uqx-bioimg101x-2)

* [Introduction to Human Evolution](https://www.edx.org/course/introduction-human-evolution-wellesleyx-anth207x-1)

* [Network Analysis in Systems Biology](https://www.coursera.org/learn/network-biology)

* [Neuronal Dynamics: Computational Neuroscience of Single Neurons](https://www.edx.org/course/neuronal-dynamics-epflx-bio465-1x)

* [Principles of Synthetic Biology](https://www.edx.org/course/principles-synthetic-biology-mitx-20-305x-0)

* [Principles of Biochemistry](https://www.edx.org/course/principles-biochemistry-harvardx-mcb63x-0)

* [Proteins: Biology's Workforce](https://www.edx.org/course/proteins-biologys-workforce-ricex-bioc300-1x-1)

* [videolectures.net - Biology](http://videolectures.net/Top/Biology/)



Competitions

------------



* [International Genetically Engineered Machines (iGEM)](http://igem.org/Main_Page)

* [DREAM Challenges](http://dreamchallenges.org/)

* [ISCB Wikipedia Competition](https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Computational_Biology/ISCB_competition_announcement_2016)

* [Open Science Prize](https://www.openscienceprize.org)

* [sbv IMPROVER Challenges](https://www.sbvimprover.com/)



Conferences

-----------



* [American Society of Human Genetics (ASHG)](http://www.ashg.org/2018meeting/)

* [Biology of Genomes](http://meetings.cshl.edu/meetings.aspx?meet=GENOME&year=18)

* [Gordon Research Conferences](https://www.grc.org/)

* [Intelligent Systems for Molecular Biology (ISMB)](http://ismb.org)

* [RECOMB](http://www.recomb.org/home)